Editing Cognitive model (section)

=====Adaptive behaviors=====
Behavioral dynamics have been applied to locomotive behavior.<ref name="Warren" /><ref>Fajen, B., R., & Warren, W. H. (2003). [http://www.rc.unesp.br/ib/e_fisica/aplab/obstacle%20avoidance.pdf Behavioral dynamics of steering, obstacle avoidance, and route selection]. Journal of Experimental Psychology: Human Perception and Performance, 29, 343-362.</ref><ref>Fajen, B. R., Warren, W. H., Temizer, S., & Kaelbling, L. P. (2003). [http://cs.ait.ac.th/~mdailey/cvreadings/Fajen-Dynamical.pdf A dynamical model of visually-guided steering, obstacle avoidance, and route selection]. International Journal of Computer Vision, 54, 15-34.</ref>  Modeling locomotion with behavioral dynamics demonstrates that adaptive behaviors could arise from the interactions of an agent and the environment.  According to this framework, adaptive behaviors can be captured by two levels of analysis.  At the first level of perception and action, an agent and an environment can be conceptualized as a pair of dynamical systems coupled together by the forces the agent applies to the environment and by the structured information provided by the environment.  Thus, behavioral dynamics emerge from the agent-environment interaction.  At the second level of time evolution,  behavior can be expressed as a dynamical system represented as a vector field. In this vector field, attractors reflect stable behavioral solutions, where as bifurcations reflect changes in behavior.  In contrast to previous work on central pattern generators, this framework suggests that stable behavioral patterns are an emergent, self-organizing property of the agent-environment system rather than determined by the structure of either the agent or the environment.