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To achieve interstellar travel, the Kline Directive instructs us to be bold, to explore what others have not, to seek what others will not, to change what others dare not. To extend the boundaries of our knowledge, to advocate new methods, techniques and research, to sponsor change not status quo, on 5 fronts, Legal Standing, Safety Awareness, Economic Viability, Theoretical-Empirical Relationships, and Technological Feasibility.

In this post I discuss three concepts, that if implemented should speed up the rate of innovation and discovery so that we can achieve interstellar travel within a time frame of decades, not centuries.

Okay, what I’m going to say will upset some physicists, but I need to say it because we need to resolve some issues in physics to distinguish between mathematical construction and conjecture. Once we are on the road to mathematical construction, there is hope that this will eventually lead to technological feasibility. This post is taken from my published paper “Gravitational Acceleration Without Mass And Noninertia Fields” in the peer reviewed AIP journal, Physics Essays, and from my book An Introduction to Gravity Modification.

The Universe is much more consistent than most of us (even physicists) suspect. Therefore, we can use this consistency to weed out mathematical conjecture from our collection of physical hypotheses. There are two set of transformations that are observable. The first, in a gravitational field at a point where acceleration is a compared to a location at 0 an infinite distance from the gravitational source, there exists Non-Linear transformations Γ(a) which states that time dilation ta/t0, length contraction x0/xa, and mass increase ma/m0, behave in a consistent manner such that:

(1)

.

The second consistency is Lorentz-Fitzgerald transformations Γ(v) which states that at a velocity v compared to rest at 0, time dilation tv/t0, length contraction x0/xv, and mass increase mv/m0, behave in a consistent manner such that:

(2)

.

Now here is the surprise. The Universe is so consistent that if we use the Non-Linear transformation, equation (1) to calculate the free fall velocity (from infinity) to a certain height above the planet’s or star’s surface, and it’s corresponding time dilation, we find that it is exactly what the Lorentz-Fitzgerald transformation, equation (2) requires. That there is this previously undiscovered second level of consistency!

You won’t find this discovery in any physics text book. Not yet anyway. I published this in my 2011 AIP peer reviewed Physics Essays paper, “Gravitational Acceleration Without Mass And Noninertia Fields”.

Now let us think about this for a moment. What this says is that the Universe is so consistent that the linear velocity-time dilation relationship must be observable where ever velocity and time dilation is present, even in non-linear spacetime relationships where acceleration is present and altering the velocity and therefore the time dilation present.

Or to put it differently, where ever Γ(a) is present the space, time, velocity and acceleration relationship must allow for Γ(v) to be present in a correct and consistent manner. When I discovered this I said, wow! Why? Because we now have a means of differentiating hypothetical-theoretical gravitational fields, and therefore mathematical conjectures, from natural-theoretical gravitational fields, which are correct mathematical constructions.

That is, we can test the various quantum gravity & string hypotheses and any of the tensor metrics! Einstein’s tensor metrics should be correct, but from a propulsion perspective there is something more interesting, Alcubierre tensor metrics. Alcubierre was the first, using General Relativity, to propose the theoretical possibility of warp speed (note, not how to engineer it). Alcubierre’s work is very sophisticated. However, the concept is elegantly simple. That one can wrap a space craft in gravitational-type deformed spacetime to get it to ‘fall’ in the direction of travel.

The concept suggest that both equations (1) and (2) are no longer valid as the relative velocity between the outer edges of the spacetime wrap and an external observer is either at c, the velocity of light or greater – one needs to do the math to get the correct answer. Even at an acceleration of 1g, and assuming that this craft has eventually reached c, equation (1) and (2) are no longer consistent. Therefore, my inference is that Alcubierre metrics allows for zero time dilation within the wrap but not velocities greater than the velocity of light. Therefore, it is also doubtful that Dr. Richard Obousy hypothesis that it is possible to achieve velocities of 1E30c with a quantum string version of Alcubierre warp drive is correct.

Previous post in the Kline Directive series.

Next post in the Kline Directive series.

—————————————————————————————————

Benjamin T Solomon is the author & principal investigator of the 12-year study into the theoretical & technological feasibility of gravitation modification, titled An Introduction to Gravity Modification, to achieve interstellar travel in our lifetimes. For more information visit iSETI LLC, Interstellar Space Exploration Technology Initiative.

Solomon is inviting all serious participants to his LinkedIn Group Interstellar Travel & Gravity Modification.

To achieve interstellar travel, the Kline Directive instructs us to be bold, to explore what others have not, to seek what others will not, to change what others dare not. To extend the boundaries of our knowledge, to advocate new methods, techniques and research, to sponsor change not status quo, on 5 fronts, Legal Standing, Safety Awareness, Economic Viability, Theoretical-Empirical Relationships, and Technological Feasibility.

In this set of posts I discuss three concepts. If implemented these concepts have the potential to bring about major changes in our understanding of the physical Universe. But first a detour.

In my earlier post I had suggested that both John Archibald Wheeler and Richard Feynman, giants of the physics community, could have asked different questions (what could we do differently?) regarding certain solutions to Maxwell’s equations, instead of asking if retrocausality could be a solution.

I worked 10 years for Texas Instruments in the 1980s & 1990s. Corporate in Dallas, had given us the daunting task of raising our Assembly/Test yields from 83% to 95%, within 3 years, across 6,000 SKUs (products), with only about 20+ (maybe less) engineers, and no assistance from Dallas. Assembly/Test skills had moved offshore, therefore, Dallas was not in a position to provide advice. I look back now and wonder how Dallas came up with the 95% number.

Impossibly daunting because many of our product yields were in the 70+%. We had good engineers and managers. The question therefore was how do you do something seemingly impossible, without changing your mix of people, equipment and technical skills sets?

Let me tell you the end first. We achieved 99% to 100% Assembly/Test yields across the board for 6,000 SKUs within 3 years. And this, in a third world nation not known for any remarkable scientific or engineering talent! I don’t have to tell you what other lessons we learned from this as it should be obvious. So me telling Dr. David Neyland, of DARPA’s TTO “I’ll drop a zero” at the first 100YSS conference in 2011, still holds.

How did we do it? For my part I was responsible for Engineering Yield (IT) Systems, test operation cost modeling for Overhead Transfer Pricing, and tester capacity models to figure out how to increase test capacity. But the part that is relevant to this discussion was team work. We organized the company into teams, brought in consultants to teach what team work was and how to arrive at and execute operational and business decisions as teams.

And one of the keys to team work was to allow anyone and everyone to speak up. To voice their opinions. To ask questions, no matter how strange or silly those questions appeared to be. To never put down another person because he/she had different views.

Everyone from the managing director of the company down to the production operators were organized into teams. Every team had to meet once a week. To ask those questions. To seek those answers. That was some experience, working with and in those teams. We found things we did not know or understand about our process. That in turn set off new & old teams to go figure! We understood the value of a matrix type organization.

As a people not known for any remarkable scientific and engineering talent, we did it! Did the impossible. I learned many invaluable lessons from my decade at Texas Instruments that I’ll never forget and will always be grateful for.

My Thanksgiving this year is that I am thankful I had the opportunity to work for Texas Instruments when I did.

So I ask, in the spirit of the Kline Directive, can we as a community of physicists and engineers come together, to explore what others have not, to seek what others will not, to change what others dare not, to make interstellar travel a reality within our lifetimes?

Previous post in the Kline Directive series.

Next post in the Kline Directive series.

—————————————————————————————————

Benjamin T Solomon is the author & principal investigator of the 12-year study into the theoretical & technological feasibility of gravitation modification, titled An Introduction to Gravity Modification, to achieve interstellar travel in our lifetimes. For more information visit iSETI LLC, Interstellar Space Exploration Technology Initiative.

Solomon is inviting all serious participants to his LinkedIn Group Interstellar Travel & Gravity Modification.

To achieve interstellar travel, the Kline Directive instructs us to be bold, to explore what others have not, to seek what others will not, to change what others dare not. To extend the boundaries of our knowledge, to advocate new methods, techniques and research, to sponsor change not status quo, on 5 fronts, Legal Standing, Safety Awareness, Economic Viability, Theoretical-Empirical Relationships, and Technological Feasibility.

In this post I will explore Technological Feasibility. At the end of the day that is the only thing that matters. If a hypothesis is not able to vindicate itself with empirical evidence it will not become technologically feasible. If it is not technologically feasible then it stands no chance of becoming commercially viable.

If we examine historical land, air and space speed records, we can construct and estimate of velocities that future technologies can achieve, aka technology forecasting. See table below for some of the speed records.

Year Fastest Velocity Craft Velocity (km/h) Velocity (m/s)
2006 Escape Earth New Horizons 57,600 16,000
1976 Capt. Eldon W. Joersz and Maj. George T. Morgan Lockheed SR-71 Blackbird 3,530 980
1927 Car land speed record (not jet engine) Mystry 328 91
1920 Joseph Sadi-Lecointe Nieuport-Delage NiD 29 275 76
1913 Maurice Prévost Deperdussin Monocoque 180 50
1903 Wilbur Wright at Kitty Hawk Wright Aircraft 11 3

A quick and dirty model derived from the data shows that we could achieve velocity of light c by 2151 or the late 2150s. See table below.

Year Velocity (m/s) % of c
2200 8,419,759,324 2808.5%
2152 314,296,410 104.8%
2150 274,057,112 91.4%
2125 49,443,793 16.5%
2118 30,610,299 10.2%
2111 18,950,618 6.3%
2100 8,920,362 3.0%
2075 1,609,360 0.5%
2050 290,351 0.1%
2025 52,384 0.0%

The extrapolation suggests that on our current rate of technological innovation we won’t achieve light speed until the late 2150s. The real problem is that we won’t achieve 0.1c until 2118! This is more than 100-years from today.

In my opinion this rate of innovation is too slow. Dr. David Neyland, of DARPA’s TTO was the driving force behind DARPA’s contribution to the 100-year Starship Study. When I met up with Dr. David Neyland during the first 100YSS conference, Sept. 30 to Oct 2, 2011, I told him “I’ll drop a zero”. That is I expect interstellar travel to be achievable in decades not centuries. And to ramp up our rate of technological innovation we need new theories and new methods of sifting through theories.

Previous post in the Kline Directive series.

—————————————————————————————————

Benjamin T Solomon is the author & principal investigator of the 12-year study into the theoretical & technological feasibility of gravitation modification, titled An Introduction to Gravity Modification, to achieve interstellar travel in our lifetimes. For more information visit iSETI LLC, Interstellar Space Exploration Technology Initiative.

Solomon is inviting all serious participants to his LinkedIn Group Interstellar Travel & Gravity Modification.

It may have gone unnoticed to most, but the first expedition for mankind’s first permanent undersea human colony will begin in July of next year. These aquanauts represent the first humans who will soon (~2015) move to such a habitat and stay with no intention of ever calling dry land their home again. Further details: http://underseacolony.com/core/index.php

Of all 100 billion humans who have ever lived, not a single human has ever gone undersea to live permanently. The Challenger Station habitat, the largest manned undersea habitat ever built, will establish the first permanent undersea colony, with aspirations that the ocean will form a new frontier of human colonization. Could it be a long-term success?

The knowledge gained from how to adapt and grow isolated ecosystems in unnatural environs, and the effects on the mentality and social well-being of the colony, may provide interesting insights into how to establish effective off-Earth colonies.

One can start to pose the questions — what makes the colony self-sustainable? What makes the colony adaptive and able to expand its horizons. What socio-political structure works best in a small inter-dependent colony? Perhaps it is not in the first six months of sustainability, but after decades of re-generation, that the true dynamics become apparent.

Whilst one does not find a lawyer, a politician or a management consultant on the initial crew, one can be assured if the project succeeds, it may start to require other professions not previously considered. At what size colony does it become important to have a medical team, and not just one part-time doctor. What about teaching skills and schooling for the next generation to ensure each mandatory skill set is sustained across generations. In this light, it could become the first social project in determining the minimal crew balance for a sustainable permanent off-Earth Lifeboat. One can muse back to the satire of the Golgafrincham B Ark in Hitch-Hiker’s Guide to the Galaxy, where Golgafrinchan Telephone Sanitisers, Management Consultants and Marketing executives were persuaded that the planet was under threat from an enormous mutant star goat, packed in Ark spaceships, and sent to an insignificant planet… which turned out to be Earth. It provides us a satirical remind that the choice of crew and colony on a real Lifeboat would require utmost social research.

1) Unchargedness (Reissner disproved)
2) Arise more readily (string theory confirmed)
3) Are indestructible (Hawking disproved)
4) Are invisible to CERN’s detectors (CERN publication disconfirmed)
5) Slowest specimens will stay inside earth (conceded by CERN)
6) Enhanced cross section due to slowness (like cold neutrons)
7) Exponential growth inside earth (quasar-scaling principle)

The final weeks of 2012 will again double the danger that the earth is going to be shrunk to 2 cm after a delay of a few years. No one on the planet demands investigation. The African Journal of Mathematics did the most for the planet. I ask President Obama to demand a safety statement from CERN immediately. The planet won’t forget it. Nor will America the beautiful. P.S. I thank Tom Kerwick who deleted all my latest postings on Lifeboat for his demanding a “substantiated” posting. I now look forward to his response.

Appendage: “It may Interest the World that I just found T,L,M in Einstein’s 1913 paper on Nordström (“On the present state of the problem of gravitation”) – so that it can no longer be ignored. The result is inherited by the full-fledged theory of general relativity of 1915 but was no longer remembered to be implicit. I give this information to the planet to show that my black-hole results (easy production, no Hawking evaporation, exponential voraciousness) can no longer be ignored by CERN. They call for an immediate stop of the LHC followed by a safety conference. I renew my appeal to the politicians of the world, and especially President Obama, to support my plea. Everyone has the human right to be informed about a new scientific result that bears on her or his survival. I recommend http://www.pitt.edu/~jdnorton/papers/einstein-nordstroem-HGR3.pdf for background information” — 2nd Nov.

FutureICT have submitted their proposal to the FET Flagship Programme, an initiative that aims to facilitate breakthroughs in information technology. The vision of FutureICT is to

integrate the fields of information and communication technologies (ICT), social sciences and complexity science, to develop a new kind of participatory science and technology that will help us to understand, explore and manage the complex, global, socially interactive systems that make up our world today, while at the same time paving the way for a new paradigm of ICT systems that will leverage socio-inspired self-organisation, self-regulation, and collective awareness.

The project could provide us with profound insights into societal behaviour and improve policymaking. The project echoes the Large Hadron Collider at CERN in its scope and vision, only here we are trying to understand the state of the world. The FutureICT project combines the creation of a ‘Planetary Nervous System’ (PNS) where Big Data will be collated and organised, a ‘Living Earth Simulator’ (LES), and the ‘Global Participatory Platform’ (GPP). The LES will simulate the data and provide models for analysis, while the GPP will provide the data, models and methods to everyone. People wil be able to collaborate and research in a very different way. The availability of Big Data to participants will both strengthen our ability to understand complex socio-economic systems, and it could help build a new dialogue between nations in how we solve complex global societal challenges.

FutureICT aim to develop a ‘Global Systems Science’, which will

lay the theoretical foundations for these platforms, while the focus on socio-inspired ICT will use the insights gained to identify suitable designs for socially interactive systems and the use of mechanism that have proven effective in society as operational principles for ICT systems.

It is exciting to think about the possible breakthroughs that could be made. What new insights and scientific discoveries could be made? What new technologies could emerge? The Innovation Accelerator (IA) is one feature of the venture that could create both disruptive technology and politics. Next year will open up a new world of possibilities. A possible project for the Lifeboat Foundation to be involved in.

To achieve interstellar travel, the Kline Directive instructs us to be bold, to explore what others have not, to seek what others will not, to change what others dare not. To extend the boundaries of our knowledge, to advocate new methods, techniques and research, to sponsor change not status quo, on 5 fronts, Legal Standing, Safety Awareness, Economic Viability, Theoretical-Empirical Relationships, and Technological Feasibility.

In this post I discuss the third and final part, Concepts and Logical Flow, of how to read or write a journal paper, that is not taught in colleges.

A paper consists of a series of evolving concepts expressed as paragraphs. If a concept is too complex to be detailed in a single paragraph, then break it down into several sub-concept paragraphs. Make sure there is logical evolution of thought across these sub-concepts, and across the paper.

As a general rule your sentences should be short(er). Try very hard not to exceed two lines of Letter or A4 size paper at font size 11. Use commas judicially. Commas are not meant to extend sentences or divide the sentence into several points!!! They are used to break up a sentence into sub-sentences to indicate a pause when reading aloud. How you use commas can alter the meaning of a sentence. Here is an example.

“And this I know with confidence, I remain and continue …”

Changing the position of the commas, changes the meaning to

“And this I know, with confidence I remain and continue …”

We see how ‘confidence’ changes from the speaker’s assessment of his state of knowledge, to the speaker’s reason for being. So take care.

When including mathematical formulae, always wrap. Wrap them with an opening paragraph and a closing paragraph. Why? This enhances the clarity of the paper. The opening paragraph introduce the salient features of the equation(s), i.e. what the reader needs to be aware of in the equation(s), or an explanation of the symbols, or why the equation is being introduced.

The closing paragraph explains what the author found by stating the equations, and what the reader should expect to look for in subsequent discussions, or even why the equation(s) is or is not relevant to subsequent discussions.

Many of these concept-paragraphs are logically combined into sections, and each section has a purpose for its inclusion. Though this purpose may not always be stated in the section, it is important to identify what it is and why it fits in with the overall schema of the paper.

The basic schema of a paper consists of an introduction, body and conclusion. Of course there are variations to this basic schema, and you need to ask the question, why does the author include other types of sections.

In the introduction section(s) you summarize your case, what is your paper about, and what others have reported. In the body sections you present your work. In the conclusion section you summarize your findings and future direction of the research. Why? Because a busy researcher can read your introduction and conclusion and then decide whether your paper is relevant to his or her work. Remember we are working within a community of researchers in an asynchronous manner, an asynchronous team, if you would. As more and more papers are published every year, we don’t have the time to read all of them, completely. So we need a method of eliminating papers we are not going to read.

An abstract is usually a summary of the body of the paper. It is difficult to do well and should only be written after you have completed your paper. That means you are planning ahead and have your paper written and abstracts completed when you receive the call for papers.

An abstract tells us if the paper could be relevant, to include in our list of papers to be considered for the shortlist of papers to be read. The introduction and conclusion tells if the paper should be removed from our short list. If the conclusion fits in with what we want to achieve, then don’t remove the paper from the short list.

I follow a rule when writing the introduction section. If I am writing to add to the body of consensus, I state my case and then write a review of what others have reported. If I am negating the body of consensus, then I write a review of what others have reported, and then only do I state my case of why not.

As a general rule, you write several iterations of the body first, then introduction and finally the conclusion. You’d be surprised by how your thinking changes if you do it this way, This is because you have left yourself open to other inferences that had not crossed your mind from the time you completed your work, to the time you started writing your paper.

If someone else has theoretical or experimental results that apparently contradicts your thesis, then discuss why and why not, and you might end up changing your mind. It is not a ‘sin’ to include contradictory results, but make sure you discuss this intelligently and impartially.

Your work is the sowing and growing period. Writing the paper is the harvesting period. What are you harvesting? Wheat, weeds or both? Clearly the more wheat you harvest the better your paper. The first test for this is the logical flow of your paper. If it does not flow very well, something is amiss! You the author, and you the reader beware! There is no substitute but to rethink your paper.

The second test is, if you have tangential discussions in your paper that seem interesting but are not directly relevant. Prune, prune & prune. If necessary split into multiple concise papers. A concise & sharp paper that everyone remembers is more valuable than a long one that you have to plough through.

Go forth, read well and write more.

Previous post in the Kline Directive series.

Next post in the Kline Directive series.

—————————————————————————————————

Benjamin T Solomon is the author & principal investigator of the 12-year study into the theoretical & technological feasibility of gravitation modification, titled An Introduction to Gravity Modification, to achieve interstellar travel in our lifetimes. For more information visit iSETI LLC, Interstellar Space Exploration Technology Initiative.

Solomon is inviting all serious participants to his LinkedIn Group Interstellar Travel & Gravity Modification.

To achieve interstellar travel, the Kline Directive instructs us to be bold, to explore what others have not, to seek what others will not, to change what others dare not. To extend the boundaries of our knowledge, to advocate new methods, techniques and research, to sponsor change not status quo, on 5 fronts, Legal Standing, Safety Awareness, Economic Viability, Theoretical-Empirical Relationships, and Technological Feasibility.

In this post I discuss part 2 of 3, Mathematical Construction versus Mathematical Conjecture, of how to read or write a journal paper that is not taught in colleges.

I did my Master of Arts in Operations Research (OR) at the best OR school in the United Kingdom, University of Lancaster, in the 1980s. We were always reminded that models have limits to their use. There is an operating range within which a model will provide good and reliable results. But outside that operating range, a model will provide unreliable, incorrect and even strange results.

Doesn’t that sound a lot like what the late Prof. Morris Kline was saying? We can extrapolate this further, and ask our community of theoretical physicists the question, what is the operating range of your theoretical model? We can turn the question around and require our community of theoretical physicists to inform us or suggest boundaries of where their models fail “ … to provide reasonability in guidance and correctness in answers to our questions in the sciences …”

A theoretical physics model is a mathematical construction that is not necessarily connected to the real world until it is empirically verified or falsified, until then these mathematical constructions are in limbo. Search the term ‘retrocausality’ for example. The Wikipedia article Retrocausality says a lot about how and why of the origins of theoretical physics models that are not within the range of our informed common sense. Let me quote,

“The Wheeler–Feynman absorber theory, proposed by John Archibald Wheeler and Richard Feynman, uses retrocausality and a temporal form of destructive interference to explain the absence of a type of converging concentric wave suggested by certain solutions to Maxwell’s equations. These advanced waves don’t have anything to do with cause and effect, they are just a different mathematical way to describe normal waves. The reason they were proposed is so that a charged particle would not have to act on itself, which, in normal classical electromagnetism leads to an infinite self-force.”

John Archibald Wheeler and Richard Feynman are giants in the physics community, and these esteemed physicists used retrocausality to solve a mathematical construction problem. Could they not have asked the different questions? What is the operating range of this model? How do we rethink this model so as not to require retrocausality?

This unfortunate leadership in retrocausality has led to a whole body of ‘knowledge’ by the name of ‘retrocausality’ that is in a state of empirical limbo and thus, the term mathematical conjecture applies.

Now, do you get an idea of how mathematical construction leads to mathematical conjecture? Someone wants to solve a problem, which is a legitimate quest because that is how science progresses, but the solution causes more problems (not questions) than previously, which leads to more physicists trying to answer those new problems, and so forth .… and so forth .… and so forth .…

In Hong Kong, the Cantonese have an expression “chasing the dragon”.

Disclaimer: I am originally from that part of the world, and enjoyed tremendously watching how the Indian and Chinese cultures collided, merged, and separated, repeatedly. Sometimes like water and oil, and sometimes like water and alcohol. These two nations share a common heritage, the Buddhist monks, and if they could put aside their nationalistic and cultural pride, who knows what could happen?

Chasing the dragon in the Chinese cultural context “refers to inhaling the vapor from heated morphine, heroin, oxycodone or opium that has been placed on a piece of foil. The ‘chasing’ occurs as the user gingerly keeps the liquid moving in order to keep it from coalescing into a single, unmanageable mass. Another more metaphorical use of the term ‘chasing the dragon’ refers to the elusive pursuit of the ultimate high in the usage of some particular drug.”

Solving a mathematical equation always gives a high, and discovering a new equation gives a greater high. So when we write a paper, we have to ask ourselves, are we chasing the dragon of mathematical conjecture or chasing the dragon of mathematical construction? I hope it is the latter.

Previous post in the Kline Directive series.

—————————————————————————————————

Benjamin T Solomon is the author & principal investigator of the 12-year study into the theoretical & technological feasibility of gravitation modification, titled An Introduction to Gravity Modification, to achieve interstellar travel in our lifetimes. For more information visit iSETI LLC, Interstellar Space Exploration Technology Initiative.

Solomon is inviting all serious participants to his LinkedIn Group Interstellar Travel & Gravity Modification.

The historical context in which Brain Computer Interfaces (BCI) has emerged has been addressed in a previous article called “To Interface the Future: Interacting More Intimately with Information” (Kraemer, 2011). This review addresses the methods that have formed current BCI knowledge, the directions in which it is heading and the emerging risks and benefits from it. Why neural stem cells can help establish better BCI integration is also addressed as is the overall mapping of where various cognitive activities occur and how a future BCI could potentially provide direct input to the brain instead of only receive and process information from it.

EEG Origins of Thought Pattern Recognition
Early BCI work to study cognition and memory involved implanting electrodes into rats’ hippocampus and recording its EEG patterns in very specific circumstances while exploring a track both when awake and sleeping (Foster & Wilson, 2006; Tran, 2012). Later some of these patterns are replayed by the rat in reverse chronological order indicating a retrieval of the memory both when awake and asleep (Foster & Wilson, 2006). Dr. John Chapin shows that the thoughts of movement can be written to a rat to then remotely control the rat (Birhard, 1999; Chapin, 2008).

A few human paraplegics have volunteered for somewhat similar electrode implants into their brains for an enhanced BrainGate2 hardware and software device to use as a primary data input device (UPI, 2012; Hochberg et al., 2012). Clinical trials of an implanted BCI are underway with BrainGate2 Neural Interface System (BrainGate, 2012; Tran, 2012). Currently, the integration of the electrodes into the brain or peripheral nervous system can be somewhat slow and incomplete (Grill et al., 2001). Nevertheless, research to optimize the electro-stimulation patterns and voltage levels in the electrodes, combining cell cultures and neurotrophic factors into the electrode and enhance “endogenous pattern generators” through rehabilitative exercises are likely to improve the integration closer to full functional restoration in prostheses (Grill et al., 2001) and improved functionality in other BCI as well.

When integrating neuro-chips to the peripheral nervous system for artificial limbs or even directly to the cerebral sensorimotor cortex as has been done for some military veterans, neural stem cells would likely help heal the damage to the site of the limb lost and speed up the rate at which the neuro-chip is integrated into the innervating tissue (Grill et al., 2001; Park, Teng, & Snyder, 2002). These neural stem cells are better known for their natural regenerative ability and it would also generate this benefit in re-establishing the effectiveness of the damaged original neural connections (Grill et al., 2001).

Neurochemistry and Neurotransmitters to be Mapped via Genomics
Cognition is electrochemical and thus the electrodes only tell part of the story. The chemicals are more clearly coded for by specific genes. Jaak Panksepp is breeding one line of rats that are particularly prone to joy and social interaction and another that tends towards sadness and a more solitary behavior (Tran, 2012). He asserts that emotions emerged from genetic causes (Panksepp, 1992; Tran, 2012) and plans to genome sequence members of both lines to then determine the genomic causes of or correlations between these core dispositions (Tran, 2012). Such causes are quite likely to apply to humans as similar or homologous genes in the human genome are likely to be present. Candidate chemicals like dopamine and serotonin may be confirmed genetically, new neurochemicals may be identified or both. It is a promising long-term study and large databases of human genomes accompanied by medical histories of each individual genome could result in similar discoveries. A private study of the medical and genomic records of the population of Iceland is underway and has in the last 1o years has made unique genetic diagnostic tests for increased risk of type 2 diabetes, breast cancer prostate cancer, glaucoma, high cholesterol/hypertension and atrial fibrillation and a personal genomic testing service for these genetic factors (deCODE, 2012; Weber, 2002). By breeding 2 lines of rats based on whether they display a joyful behavior or not, the lines of mice should likewise have uniquely different genetic markers in their respective populations (Tran, 2012).

fMRI and fNIRIS Studies to Map the Flow of Thoughts into a Connectome
Though EEG-based BCI have been effective in translating movement intentionality of the cerebral motor cortex for neuroprostheses or movement of a computer cursor or other directional or navigational device, it has not advanced the understanding of the underlying processes of other types or modes of cognition or experience (NPG, 2010; Wolpaw, 2010). The use of functional Magnetic Resonance Imaging (fMRI) machines, and functional Near-Infrared Spectroscopy (fNIRIS) and sometimes Positron Emission Tomography (PET) scans for literally deeper insights into the functioning of brain metabolism and thus neural activity has increased in order to determine the relationships or connections of regions of the brain now known collectively as the connectome (Wolpaw, 2010).

Dr. Read Montague explained broadly how his team had several fMRI centers around the world linked to each other across the Internet so that various economic games could be played and the regional specific brain activity of all the participant players of these games can be recorded in real time at each step of the game (Montague, 2012). In the publication on this fMRI experiment, it shows the interaction between baseline suspicion in the amygdala and the ongoing evaluation of the specific situation that may increase or degree that suspicion which occurred in the parahippocampal gyrus (Bhatt et al., 2012). Since the fMRI equipment is very large, immobile and expensive, it cannot be used in many situations (Solovey et al., 2012). To essentially substitute for the fMRI, the fNIRS was developed which can be worn on the head and is far more convenient than the traditional full body fMRI scanner that requires a sedentary or prone position to work (Solovey et al., 2012).

In a study of people multitasking on the computer with the fNIRIS head-mounted device called Brainput, the Brainput device worked with remotely controlled robots that would automatically modify the behavior of 2 remotely controlled robots when Brainput detected an information overload in the multitasking brains of the human navigating both of the robots simultaneously over several differently designed terrains (Solovey et al., 2012).

Writing Electromagnetic Information to the Brain?
These 2 examples of the Human Connectome Project lead by the National Institute of Health (NIH) in the US and also underway in other countries show how early the mapping of brain region interaction is for higher cognitive functions beyond sensory motor interactions. Nevertheless, one Canadian neurosurgeon has taken volunteers for an early example of writing some electromagnetic input into the human brain to induce paranormal kinds of subjective experience and has been doing so since 1987 (Cotton, 1996; Nickell, 2005; Persinger, 2012). Dr. Michael Persinger uses small electrical signals across the temporal lobes in an environment with partial audio-visual isolation to reduce neural distraction (Persinger, 2003). These microtesla magnetic fields especially when applied to the right hemisphere of the temporal lobes often induced a sense of an “other” presence generally described as supernatural in origin by the volunteers (Persinger, 2003). This early example shows how input can be received directly by the brain as well as recorded from it.

Higher Resolution Recording of Neural Data
Electrodes from EEGs and electromagnets from fMRI and fNIRIS still record or send data at the macro level of entire regions or areas of the brain. Work on intracellular recording such as the nanotube transistor allows for better understanding at the level of neurons (Gao et al., 2012). Of course, when introducing micro scale recording or transmitting equipment into the human brain, safety is a major issue. Some progress has been made in that an ingestible microchip called the Raisin has been made that can transmit information gathered during its voyage through the digestive system (Kessel, 2009). Dr. Robert Freitas has designed many nanoscale devices such as Respirocytes, Clottocytes and Microbivores to replace or augment red blood cells, platelets and phagocytes respectively that can in principle be fabricated and do appear to meet the miniaturization and propulsion requirements necessary to get into the bloodstream and arrive at the targeted system they are programmed to reach (Freitas, 1998; Freitas, 2000; Freitas, 2005; Freitas, 2006).

The primary obstacle is the tremendous gap between assembling at the microscopic level and the molecular level. Dr. Richard Feynman described the crux of this struggle to bridge the divide between atoms in his now famous talk given on December 29, 1959 called “There’s Plenty of Room at the Bottom” (Feynman, 1959). To encourage progress towards the ultimate goal of molecular manufacturing by enabling theoretical and experimental work, the Foresight Institute has awarded annual Feynman Prizes every year since 1997 for contribution in this field called nanotechnology (Foresight, 2012).

The Current State of the Art and Science of Brain Computer Interfaces
Many neuroscientists think that cellular or even atomic level resolution is probably necessary to understand and certainly to interface with the brain at the level of conceptual thought, memory storage and retrieval (Ptolemy, 2009; Koene, 2010) but at this early stage of the Human Connectome Project this evaluation is quite preliminary. The convergence of noninvasive brain scanning technology with implantable devices among volunteer patients supplemented with neural stem cells and neurotrophic factors to facilitate the melding of biological and artificial intelligence will allow for many medical benefits for paraplegics at first and later to others such as intelligence analysts, soldiers and civilians.

Some scientists and experts in Artificial Intelligence (AI) express the concern that AI software is on track to exceed human biological intelligence before the middle of the century such as Ben Goertzel, Ray Kurzweil, Kevin Warwick, Stephen Hawking, Nick Bostrom, Peter Diamandis, Dean Kamen and Hugo de Garis (Bostrom, 2009; de Garis, 2009, Ptolemy, 2009). The need for fully functioning BCIs that integrate the higher order conceptual thinking, memory recall and imagination into cybernetic environments gains ever more urgency if we consider the existential risk to the long-term survival of the human species or the eventual natural descendent of that species. This call for an intimate and fully integrated BCI then acts as a shield against the possible emergence of an AI independently of us as a life form and thus a possible rival and intellectually superior threat to the human heritage and dominance on this planet and its immediate solar system vicinity.

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To achieve interstellar travel, the Kline Directive instructs us to be bold, to explore what others have not, to seek what others will not, to change what others dare not. To extend the boundaries of our knowledge, to advocate new methods, techniques and research, to sponsor change not status quo, on 5 fronts, Legal Standing, Safety Awareness, Economic Viability, Theoretical-Empirical Relationships, and Technological Feasibility.

I was not intending to write Part 5, but judging from the responses I thought it was necessary to explain how to read a journal paper – and a good read cannot be done without a pen and paper. If you are writing a paper, when you have completed it, I would suggest you set it aside for at least a week. Don’t think about your paper or the topic during this shmita period. Then come back to your paper with a pen & paper and read it afresh. You’d be surprised by the number of changes you make, which means you have to start well before your deadline.

Note, you can find articles on how to review or write papers and here is one, by IOP (Institute of Physics, UK) titled Introduction to refereeing, and is a good guide to read before reading or writing a paper. This is especially true for physics but applies to all the sciences and engineering disciplines.

Note, for those who have been following the comments on my blog posts, IOP explicitly states “Do not just say ‘This result is wrong’ but say why it is wrong…” and “be professional and polite in your report”. So I hope, we as commentators, will be more professional in both our comments and the focus of our comments. Thanks.

In this post I will address what is not taught in colleges. There are three things to look out for when reading or writing a paper, Explicit and Implicit Axioms, Mathematical Construction versus Mathematical Conjecture, and finally, Concepts and Logical Flow. In this first part I discuss Explicit and Implicit Axioms.

This may sound silly but 1+1 = 2 is not an axiom. Alfred North Whitehead and Bertrand Russell proved that 1+1 adds to 2. Therefore, we see, that the immense success of the modern civilization compared to all other previous civilizations, is due to the encroachment of the imperceptible mathematical rigor in our daily lives by nameless, faceless scientist, engineers and technicians. Now that is something to ponder about. If we lose that rigor we lose our society. We can discuss economic and political theory but without this mathematical rigor, nothing else works.

Any theoretical work is based on axioms. For example in Pythagorean geometry, one assumes that surfaces are flat in such a manner the sum of the angles of a triangle adds to 180º. In Riemann geometry this is not the case. Explicit axioms are those stated in the paper.

Implicit axioms are axioms that are taken for granted to be true and therefore not stated, or considered too trivial to be mentioned. More often than not, the author is not aware he or she is using or stating an implicit axiom.

For example, mass causes a gravitational field is an implicit axiom, as we cannot with our current theoretical foundations nor with our current technologies prove either way that mass is or is not the source of a gravitational field. This axiom is also considered trivial because what else could?

But wait, didn’t Einstein … ? Yes correct, he did .…

Mass is a carryover from Newton. It shows how difficult it is to break from tradition even when we are breaking from tradition! Since Newton figured out that mass was an excellent means (i.e. “proxy” to be technically rigorous) to determining gravitational acceleration in mathematical form, therefore mass had to be the source. All tests pertaining to Einstein’s relativity test the field characteristics, not how the source creates the gravitational field.

But our understanding of the world has changed substantially since both Newton and Einstein. We know that quarks are at the center of matter and exist in the same ‘amount’ as mass. So how does one tell the difference between quark interaction and mass as the gravitational source?

The importance of implicit axioms in particular and axioms in general, is that when we recognize them we can change them and drive fundamental changes in theory and technologies. I asked the questions, what is gravity modification and how can we do it? These questions are at best vague, but they were as good a starting point as any? But life happens backwards. We get the answer and then only do we recognize the precise question we were attempting to ask!

When I started researching gravity modification in 1999, I just had this sense that gravity modification should be possible in our lifetimes, but I did not know what the question was. It was all vague and unclear at that time, but I was very strict about the scope of my investigation. I would only deal with velocity and acceleration.

I spent 8 years searching, examining, discarding, testing and theorizing anomalies, trying to get a handle on what gravity modification could be. Finally in 2007 I started building numerical models of how gravitational acceleration could work in spacetime. In February 2008 I discovered g=τc2 and at that moment I knew the question: Can gravitational acceleration be described mathematically without knowing the mass of the planet or star?

So the implicit axiom, mass is required for gravitational acceleration, is no longer valid, and because of that we now have propulsion physics.

If, in the spirit of the Kline Directive, you want to explore what others have not, and seek what others will not, my advice is that when you read a paper ask yourself, what are the implicit and explicit axioms in the paper?

Previous post in the Kline Directive series.

Next post in the Kline Directive series.

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Benjamin T Solomon is the author & principal investigator of the 12-year study into the theoretical & technological feasibility of gravitation modification, titled An Introduction to Gravity Modification, to achieve interstellar travel in our lifetimes. For more information visit iSETI LLC, Interstellar Space Exploration Technology Initiative.

Solomon is inviting all serious participants to his LinkedIn Group Interstellar Travel & Gravity Modification.