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Integrating BDI agents with Agent-based simulation platforms

Singh, Dhirendra; Padgham, Lin; Logan, Brian


Dhirendra Singh

Lin Padgham

Brian Logan


Agent-Based Models (ABMs) is 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 exible 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 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.


Singh, D., Padgham, L., & Logan, B. (in press). Integrating BDI agents with Agent-based simulation platforms. Autonomous Agents and Multi-Agent Systems, 30(6), 1050-1071.

Journal Article Type Article
Acceptance Date Mar 9, 2016
Online Publication Date Mar 19, 2016
Deposit Date Mar 18, 2016
Publicly Available Date Mar 19, 2016
Journal Autonomous Agents and Multi-Agent Systems
Print ISSN 1387-2532
Electronic ISSN 1387-2532
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 30
Issue 6
Pages 1050-1071
Keywords BDI ; Agent-Based Modelling ; Simulation ; Integration
Public URL
Publisher URL
Copyright Statement Copyright information regarding this work can be found at the following address:
Additional Information The final publication is available at Springer via


2015jaamas-bdi-abm.pdf (983 Kb)

Copyright Statement
Copyright information regarding this work can be found at the following address:

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