Effects of Interagent Communications on the Collective

Zoltán Toroczkai (), Marian Anghel, György Korniss and Kevin E. Bassler
Additional contact information
Zoltán Toroczkai: Los Alamos National Laboratory, Complex Systems Group and Center for Nonlinear Studies
Marian Anghel: Los Alamos National Laboratory, Computer and Computational Sciences Division
György Korniss: Rensselaer Polytechnic Institute, Department of Physics, Applied Physics, and Astronomy
Kevin E. Bassler: University of Houston, Department of Physics

Chapter 7 in Collectives and the Design of Complex Systems, 2004, pp 185-198 from Springer

Abstract: Summary Based on a recently introduced networked multiagent game [2], we study how agent-agent communications across a complex social network can affect the evolution of the collective during multiple iterations of the game. We show that the information obtained from the social network local to the agent can override the global information source and thus completely change the evolution of the collective compared to the nonnetworked situation. In addition, we show that when trait diversity is low, namely when the agents' action space is severely limited, the overall stability of “leader agents” is improved.

Keywords: Social Network; Reinforcement Learning; Multiagent System; Strategy Space; Interagent Communication (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4419-8909-3_7

Ordering information: This item can be ordered from
http://www.springer.com/9781441989093

DOI: 10.1007/978-1-4419-8909-3_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().