Exploring adaptive agency II: simulating the evolution of associative learning
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Zipf's Law, Music Classification, and Aesthetics
Computer Music Journal
Guided self-organisation for autonomous robot development
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
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Adaptability to changing circumstances is a key feature of living creatures. Understanding such adaptive processes is central to developing successful autonomous artifacts. In this paper two perspectives are brought to bear on the issue of adaptability. The first is a short term perspective which looks at adaptability in terms of the interactions between the agent and the environment. The second perspective involves a hierarchical evolutionary model which seeks to identify higher-order forms of adaptability based on the concept of adaptive meta-constructs. Task orientated and agent-centered models of adaptive processes in artifacts are considered from these two perspectives. The former is represented by the fitness function approach found in evolutionary learning, and the latter in terms of the concepts of empowerment and homeokinesis found in models derived from the self-organizing systems approach. A meta-construct approach to adaptability based on the identification of higher level meta-metrics is also outlined.