Paper Info
Title
Harnessing agent-based games research for analysis of collective agent behavior in critical settings
Abstract
This paper presents an AI architecture that has been developed specifically for controlling complex multi-agents interaction in games. The model is based on previous research into Emotional Societies and presents a realistic and believable environment for games. In response to a perceived lack of depth and realism in the team relationship dynamics of modern gaming, we developed a human agent architecture, multi-agent system, and demonstrative game application. The agent architecture was based partially on research into social psychology, and utilized emotion and belief representations to drive action selection. Agent interaction and relationship development was produced on the basis of the Iterated Prisoner’s Dilemma (IPD), through which a team’s success came to be determined by its members’ choices to cooperate or compete with its leader. A produced game application illustrated the operation of the developed architecture within the context of a political street protest. A set of evaluation scenarios were devised to test the success of the project work within this game application, and ultimately found it to be successful in achieving a good level of realistic team-based reasoning and interaction. Beside the potential application of the model and architecture to a computer entertainment environment, the model is generic and can be used as well for “serious” application which involves distributed emerging behavior, scenarios based simulation, complex agent-based modeling including emotional, reactive and deliberative reasoning.
Year
DOI
Venue
2005
10.1007/11964995_26
WRAC
Keywords
Field
DocType
complex multi-agents interaction,human agent architecture,critical setting,believable environment,developed architecture,ai architecture,demonstrative game application,potential application,collective agent behavior,agent-based games research,agent interaction,game application,agent architecture,social psychology,emergent behavior,multi agent system,action selection
Architecture,Agent-based social simulation,Knowledge management,Finite-state machine,Agent architecture,Dilemma,Game Developer,Engineering,Action selection,Realism
Conference
Volume
ISSN
ISBN
3825
0302-9743
3-540-69265-7
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Abdennour El Rhalibi133849.07
A. Taleb-Bendiab238348.64