Integrating BDI Agents with Agent-Based Simulation Platforms

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• 作者：Dhirendra Singh ; Lin Padgham ; Brian Logan
• 关键词：BDI ; Agent ; based modelling ; Simulation ; Integration
• 刊名：Autonomous Agents and Multi-Agent Systems
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：30
• 期：6
• 页码：1050-1071
• 全文大小：914 KB
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Systems Organization and Communication Networks
  Computing Methodologies
  Software Engineering, Programming and Operating Systems
  User Interfaces and Human Computer Interaction
  
• 出版者：Springer Netherlands
• ISSN：1573-7454
• 卷排序：30

文摘

Agent-based models (ABMs) are increasingly being used for exploring and supporting decision making about social science scenarios involving modelling of human agents. However existing agent-based simulation platforms (e.g., SWARM, Repast) provide limited support for the simulation of more complex cognitive agents required by such scenarios. We present a framework that allows Belief-Desire-Intention (BDI) cognitive agents to be embedded in an ABM system. Architecturally, this means that the “brains” of an agent can be modelled in the BDI system in the usual way, while the “body” exists in the ABM system. The architecture is flexible in that the ABM can still have non-BDI agents in the simulation, and the BDI-side can have agents that do not have a physical counterpart (such as an organisation). The framework addresses a key integration challenge of coupling event-based BDI systems, with time-stepped ABM systems. Our framework is modular and supports integration of off-the-shelf BDI systems with off-the-shelf ABM systems. The framework is Open Source, and all integrations and applications are available for use by the modelling community.