Designing social force: control for collective behavior of learning individuals

  • Authors:
  • Keiki Takadama;Katsunori Shimohara

  • Affiliations:
  • ATR Human Information Science Labs., 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288 Japan;ATR Human Information Science Labs., 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288 Japan

  • Venue:
  • ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
  • Year:
  • 2002

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Abstract

This paper explores methods for controlling the collective behavior of learning individuals (e.g., robots, agents) to achieve goals at the collective level while these individuals pursue their own goals at the individual level. Toward this enormous goal, we start by categorizing the four levels for controlling individuals in terms of both direct and indirect control, and then investigate the results at each control level to clarify the extent to which degree we should force the learning individuals to achieve goals at the collective level.