Journal
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
Volume 30, Issue 6, Pages 1050-1071Publisher
SPRINGER
DOI: 10.1007/s10458-016-9332-x
Keywords
BDI; Agent-based modelling; Simulation; Integration
Funding
- AOS
- ARC [DP1093290, LP130100008]
- Telematics Trust
- Australian Research Council [DP1093290, LP130100008] Funding Source: Australian Research Council
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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.
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