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Evolving Tool Use Behavior and Its Implications

Yoonsuck Choe

Texas A&M University
College Station, Texas USA
choe@tamu.edu

Abstract

Tool use and tool construction provide perhaps one of the strongest implications of intelligent behavior in animals. In this presentation I will discuss in general the various levels of tool use and tool construction and their task requirements, and demonstrate that non-trivial tool use behavior can be evolved in a computer simulation. Major challenges in extending this kind of work toward tool construction will also be discussed.

Short Bio

Yoonsuck Choe is a professor and director of the Brain Networks Laboratory in the Department of Computer Science and Engineering at Texas A&M University. His research interests are broadly in computational neuroscience, computational neuroanatomy, neuroinformatics, neural networks, and neuroevolution. His work ranges from visual cortical modeling (http://computationalmaps.org), sensorimotor learning, temporal aspects of brain function (delay, memory, and prediction), whole brain physical sectioning imaging (Knife-Edge Scanning Microscopy), and web-based brain atlas frameworks (http://kesm.org).


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