Learning Models of Macrobehavior in Complex Adaptive Systems

Fast, Andrew S.

Learning Models of Macrobehavior in Complex Adaptive Systems

AAAI 2006 pp. 1910-1911

/aaai/2006/fast2006aaai-learning/

Abstract

Macrobehaviors in complex adaptive systems are highlevel behaviors that arise from a combination of low-level interactions and characteristics of individuals. Over time, individuals participating in these complex systems make choices that influence the behavior of other individuals. These types of interactions are present in both human and computational systems. For example, complex interactive behaviors are demonstrated as audience members enter a talk (Schelling 1978) and software agents negotiate over shared resources (Klein, Metzler, &amp; Bar-Yam 2005). Macrobehaviors arise when groups or aggregations of individuals develop grouplevel structure through interactions of individual characteristics and actions. One complex system that is familiar to academics is the pattern of citations in a given field or subfield of science

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Text

Fast. "Learning Models of Macrobehavior in Complex Adaptive Systems." AAAI Conference on Artificial Intelligence, 2006.

Markdown

[Fast. "Learning Models of Macrobehavior in Complex Adaptive Systems." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/fast2006aaai-learning/)

BibTeX

@inproceedings{fast2006aaai-learning,
  title     = {{Learning Models of Macrobehavior in Complex Adaptive Systems}},
  author    = {Fast, Andrew S.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2006},
  pages     = {1910-1911},
  url       = {https://mlanthology.org/aaai/2006/fast2006aaai-learning/}
}