Artificial life: organization, adaptation and complexity from the bottom up
| Abstract | Artificial life attempts to understand the essential general properties of living systems by synthesizing life-like behavior in software, hardware and biochemicals. As many of the essential abstract properties of living systems (e.g. autonomous adaptive and intelligent behavior) are also studied by cognitive science, artificial life and cognitive science have an essential overlap. This review highlights the state of the art in artificial life with respect to dynamical hierarchies, molecular selforganization, evolutionary robotics, the evolution of complexity and language, and other practical applications. It also speculates about future connections between artificial life and cognitive science. | |||||||||
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Evan Thompson (1997). Symbol Grounding: A Bridge From Artificial Life to Artificial Intelligence. Brain and Cognition 34 (1):48-71.
James Franklin (2003). The Representation of Context: Ideas From Artificial Intelligence. Law, Probability and Risk 2:191-199.
Bernard Korzeniewski (2005). Confrontation of the Cybernetic Definition of a Living Individual with the Real World. Acta Biotheoretica 53 (1).
Margaret A. Boden (2009). Life and Mind. Minds and Machines 19 (4):453-463.
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