Models for Strategy Choice in Random or Potentially Deceptive Environments

Voorhees, Burt

dc.contributor.author	Voorhees, Burt
dc.date.accessioned	2010-07-14T20:58:08Z
dc.date.available	2010-07-14T20:58:08Z
dc.date.issued	2010-07-14T20:58:08Z
dc.identifier.uri	http://hdl.handle.net/2149/2670
dc.description	The paper was presented in a session of “cognitive agents” on May 31, 2010. It was well received and led to several worthwhile discussions with other participants in the session. Suggestions for extending the work reported in part of the paper were offered (and some of these are already being developed by an NSERC summer student). Special interest was shown in the work reported on models illustrating the advantages of instability for complex systems.	en
dc.description.abstract	Two simulation models are presented illustrative of decision and behavioural choice issues for complex adaptive systems involving cognitive agents. The first illustrates the value of managed instability for complex systems. It explores conditions under which a system able maintain itself in an unstable state gains an advantage in behavioural flexibility offsetting the extra expense involved in maintaining that state against instability. The second model considers the trade-off between quickness and accuracy of response in risk/reward identification, in order to differentiate conditions under which rapid or considered responses are favoured.	en
dc.language.iso	en	en
dc.relation.ispartofseries	92.927.G1201;
dc.subject	Simulation models	en
dc.subject	Cognitive agents	en
dc.subject	Risk/reward identification	en
dc.subject	Differentiate conditions	en
dc.title	Models for Strategy Choice in Random or Potentially Deceptive Environments	en
dc.type	Presentation	en

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