An Approach for Agent-Based Modeling Using AiC+

dc.contributor.author	Ngobye, Martin
dc.contributor.author	Kanagwa, Benjamin
dc.contributor.author	WEIDE, THEO VAN DER
dc.contributor.author	Groot, Wouter T. DE
dc.date.accessioned	2021-05-20T11:56:25Z
dc.date.available	2021-05-20T11:56:25Z
dc.date.issued	2011-12
dc.identifier.citation	Ngobye, M., Kanagwe, B., Weide, T., & de Groot, W. T. (2011). An Approach for Agent-Based Modeling Using AiC+.	en_US
dc.identifier.issn	1818-1139 (Print)
dc.identifier.issn	1996-1065 (Online)
dc.identifier.uri	http://ir.must.ac.ug/xmlui/handle/123456789/820
dc.description.abstract	In this paper, we present AiC+, an extension of the AiC framework designed for the explanation of human actions especially in the environmental field. We use first order logics to describe the semantics used to explain the action selection of the agent (actor) using an agent hierarchy system and a fuzzy typing relation. An example is illustrated using the AiC+ to validate the framework and discuss possible future extensions to the framework.	en_US
dc.language.iso	en_US	en_US
dc.publisher	International Journal of Computing and ICT Research.	en_US
dc.subject	Action-in-context	en_US
dc.subject	Agent hierarchy	en_US
dc.subject	First order logics	en_US
dc.subject	Fuzzy typing relation	en_US
dc.subject	Involvement function	en_US
dc.title	An Approach for Agent-Based Modeling Using AiC+	en_US
dc.type	Article	en_US