Reaction and reflection in Tetris
Proceedings of the first international conference on Artificial intelligence planning systems
A robot that walks: emergent behaviors from a carefully evolved network
Proceedings of the workshop on "Locomotion Control in Legged Invertebrates" on Biological neural networks in invertebrate neuroethology and robotics
Artificial minds
Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
Understanding intelligence
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Catching Ourselves in the Act: Situated Activity, Interactive Emergence, Evolution, and Human Thought
Robotics and Autonomous Systems
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The development of complex, adaptive behavior in biological organisms represents vast improvement over current methods of learning for artificial autonomous systems. Dynamical and embodied models of cognition [1-13] are beginning to provide new insights into how the chaotic, non-linear dynamics of heterogeneous neural structures may self-organize in order to develop effective patterns of behavior. We are interested in creating models of ontogenetic development that capture some of the flexibility and power of biological systems. In this paper we present a testbed for the creation and testing of models of development. We present some results on standard neural networks in learning to perform this task and discuss future plans for developmental models in this environment.