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Evolving Tool Use Behavior and Its Implications

Yoonsuck Choe

Texas A&M University
College Station, Texas USA


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 (, 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 (