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Agents, Interactions, and Co-Evolutionary Learning

In: Knowledge, Complexity and Innovation Systems

Author

Listed:
  • David F. Batten

    (Temaplan Group, Applied Systems Analysis for Industry and Government)

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.

Suggested Citation

  • David F. Batten, 2001. "Agents, Interactions, and Co-Evolutionary Learning," Advances in Spatial Science, in: Manfred M. Fischer & Josef Fröhlich (ed.), Knowledge, Complexity and Innovation Systems, chapter 15, pages 297-316, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-04546-6_15
    DOI: 10.1007/978-3-662-04546-6_15
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