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A Simulation of Temporally Variant Agent Interaction via Passive Inquiry

A Simulation of Temporally Variant Agent Interaction via Passive Inquiry

Adam J. Conover
Copyright: © 2009 |Pages: 15
ISBN13: 9781605662367|ISBN10: 1605662364|EISBN13: 9781605662374
DOI: 10.4018/978-1-60566-236-7.ch006
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MLA

Conover, Adam J. "A Simulation of Temporally Variant Agent Interaction via Passive Inquiry." Handbook of Research on Agent-Based Societies: Social and Cultural Interactions, edited by Goran Trajkovski and Samuel G. Collins, IGI Global, 2009, pp. 69-83. https://doi.org/10.4018/978-1-60566-236-7.ch006

APA

Conover, A. J. (2009). A Simulation of Temporally Variant Agent Interaction via Passive Inquiry. In G. Trajkovski & S. Collins (Eds.), Handbook of Research on Agent-Based Societies: Social and Cultural Interactions (pp. 69-83). IGI Global. https://doi.org/10.4018/978-1-60566-236-7.ch006

Chicago

Conover, Adam J. "A Simulation of Temporally Variant Agent Interaction via Passive Inquiry." In Handbook of Research on Agent-Based Societies: Social and Cultural Interactions, edited by Goran Trajkovski and Samuel G. Collins, 69-83. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-236-7.ch006

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Abstract

This chapter presents a description of ongoing experimental research into the emergent properties of multi-agent communication in “temporally asynchronous” environments. Many traditional agent and swarm simulation environments divide time into discrete “ticks” where all entity behavior is synchronized to a master “world clock”. In other words, all agent behavior is governed by a single timer where all agents act and interact within deterministic time intervals. This discrete timing mechanism produces a somewhat restricted and artificial model of autonomous agent interaction. In addition to the behavioral autonomy normally associated with agents, simulated agents should also have “temporal autonomy” in order to interact realistically. Part I of this two-part series focuses on an exploration of the effects of incremental migration of John Conway’s “Game of Life” form a simple cellular automata simulation to a framework for the exploration of spatially embedded agents.

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