Agents, Interactions, and Co-Evolutionary Learning

David F. Batten
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David F. Batten: Temaplan Group, Applied Systems Analysis for Industry and Government

Chapter 15 in Knowledge, Complexity and Innovation Systems, 2001, pp 297-316 from Springer

Abstract: Abstract Innovation breeds new products, new processes and new organisational forms. In other words, it breeds changes to the status quo. Yet innovative change is not the sole province of the creative individual. More often than not, fundamental changes to a society or economy result from the collective behaviour of groups of interacting agents. When tacit knowledge is shared, agents can behave in a myriad of different ways. How does this heterogeneous microworld of individual behaviours generate the global macroscopic regularities of society? Much of the creative capacity of such tacit collectives is hidden within a virtual system of accumulated interactions. If we choose to isolate the agents, then these virtual parts disappear. If we choose to aggregate the agents, then the virtual parts disappear. It’s the virtual parts of an interactive society that we must discover.

Keywords: Cellular Automaton; Collective Outcome; Efficient Market Hypothesis; Expectational Model; Virtual Part (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1007/978-3-662-04546-6_15

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