Advisory Board

Professor John Licato

John Licato, Ph.D. is an Assistant Professor in the Computer Science and Engineering department of the University of South Florida (USF), and the founder/director of the Advancing Machine and Human Reasoning (AMHR) Lab.
John is an artificial intelligence researcher primarily interested in human-level and logical reasoning; particularly, the kind of reasoning that we normally refer to as cognitive. This encompasses the following topics: Computational modeling of cognitive reasoning; cognitive science and robotics; computational cognitive architectures; automated theorem provers; artificially intelligent reasoners; analogical, deductive, and hypothetico-deductive reasoning; and artificial reasoning with highly-expressive (e.g. second-order, modal, etc.) logics.
In August 2015, he started as an Assistant Professor of Computer Science at Indiana University-Purdue University Fort Wayne (IPFW) and founding director of the Analogical Constructivism and Reasoning Lab (ACoRL). Later that year, he was awarded the 2015 AFOSR Young Investigator’s Program award. In 2017, he moved to the USF CSE department, and established the AMHR lab.
His papers include Real robots that pass human tests of self-consciousness, Psychometric artificial general intelligence: the Piaget-MacGuyver room, Nuclear deterrence and the logic of deliberative mindreading, Analogico-Deductive Generation of Gödel’s First Incompleteness Theorem from the Liar Paradox, Structural representation and reasoning in a hybrid cognitive architecture, and On logicist agent-based economics.
John earned his Ph.D. in Computer Science from Rensselaer Polytechnic Institute (RPI) in May 2015, working under Professor Selmer Bringsjord and specializing in the computational modeling of analogical reasoning. He earned his BSc in Computer Science (Magna Cum Laude), University of South Alabama in 2010.
Watch AGI-13 John Licato — On Deep Computational Formalization of Natural Language. Read his Google Scholar profile and his LinkedIn profile. Follow his Twitter feed.