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MONICA ANDERSON, MSc
Monica Anderson, MSc is the founder of
Syntience.
Syntience Inc. is developing a novel document understanding algorithm
which starts from the idea that language comprehension in humans is
based more on intuition than logic. Logic has its place, but is a
surprisingly cumbersome tool for solving everyday problems in
"logic-unfriendly" situations such as planning for and execution of
walking, running, and other movement, for problem solving in complex
real-world environments, and for natural language understanding and
generation.
Artificial Intuition is straightforward to implement in computers.
It
could become a component
of future Artificial Intelligence systems, and may well become a
standalone alternative to
logic based AI in many application domains.
In the short and medium term, Syntience expects Artificial Intuition
based
approaches to surpass
state of the art document understanding algorithms for dozens of
economically important
applications, such as
- Web search, especially "Semantic Search"
- Web page quality evaluation
- Document classification and clustering
- Speech Recognition
- Machine Translation
- Dialog based systems
Monica earned her Master's degree in Computer Science from
Linköping University in
Sweden, and has been working in Silicon Valley for many years and is
a US citizen. She has created three expert systems for Cisco Systems
for product configuration verification; she has co-designed systems to
automatically classify documents by content; she has (co-)designed
and/or
(co-)written LISP interpreters, debuggers, chat systems, OCR output
parsers, visualization tools, operating system kernels, MIDI control
real-time systems for music, virtual worlds, and peer-to-peer
distributed database systems.
She was Manager of Systems
Support for
Schlumberger Palo Alto Research. She has worked with robotics,
industrial
control, marine, and other kinds of embedded systems. She has worked on
improving the quality of web searches for Google. She wrote a Genetic
Algorithm which successfully generated solutions for the Set Coverage
Problem (which has been shown to be NP-hard) around 1994. She has used
more than a dozen programming languages professionally and designed or
co-designed at least four programming languages, large or small. English
is her third human language out of four or five.
Watch
Bizarre Systems and
Artificial Intuition - Monica Anderson.
Read
Prediction,
Bizarre Domains,
Intuition vs. Logic,
Absurd vs. Possible, and
The Tradeoff.
Read her
LinkedIn profile and her
blog.
Print bio!
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