Business Dynamics
On Personal and Role Mental Attitudes: A Preliminary Dependence-Based Analysis
SBIA '98 Proceedings of the 14th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Deliberative Normative Agents: Principles and Architecture
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Role-assignment in open agent societies
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Autonomous Agents and Multi-Agent Systems
Human behavior models for agents in simulators and games: part I: enabling science with PMFserv
Presence: Teleoperators and Virtual Environments
Modelling trade and trust across cultures
iTrust'06 Proceedings of the 4th international conference on Trust Management
Towards a New Approach in Social Simulations: Meta-language
Multi-Agent-Based Simulation IX
A case study in model selection for policy engineering: simulating maritime customs
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Normative, cultural and cognitive aspects of modelling policies
Proceedings of the Winter Simulation Conference
Close Encounters of the Agent Kind: Designing Agents for Effective Training
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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The process of introducing new public policies is a complex one in the sense that the behavior of society at the macro-level depends directly on the individual behavior of the people in that society and ongoing dynamics of the environment. It is at the micro-level that change is initiated, that policies effectively change the behavior of individuals. Since macro-models do not suffice, science has turned to develop and study agent-based simulations, i.e., micro-level models. In correspondence with the good scientific practice of parsimony, current ABSS models are based on agents with simple cognitive capabilities. However, the societies being modeled in policy making relate to real people with real needs and personalities, often of a multi-cultural composition. Those circumstances require the agents to be diversified to accommodate these facts. In this positioning paper, we propose an incrementally complex model for agent reasoning that can describe the influence of policies or comparable external influences on the behavior of agents. Starting from the BDI model for agent reasoning, we discuss the effect when personality and Maslow's hierarchy of needs are added to the model. Finally, we extend the model with a component that captures the cultural background and normative constitution of the agent. In the paper we show how these extensions affect the filtering of the desires and intentions of the agent and the willingness of the agent to modify its behavior in face of a new policy. This way, simulations can be made that support the differentiation of behaviors in multi-cultural societies, and thus can be made to support policy makers in their decisions.