The society of mind
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Applying conflict management strategies in BDI agents for resource management in computational grids
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
An architecture for Real-Time Reasoning and System Control
IEEE Expert: Intelligent Systems and Their Applications
A Multi-threaded Approach to Simulated Soccer Agents for the RoboCup Competition
RoboCup-99: Robot Soccer World Cup III
A Parallel BDI Agent Architecture
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A Flexible BDI Architecture Supporting Extensibility
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Are Parallel BDI Agents Really Better?
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A goal deliberation strategy for BDI agent systems
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
A semiotic multi-agent system for intelligent building control
Proceedings of the 1st international conference on Ambient media and systems
A general framework for parallel BDI agents in dynamic environments
Web Intelligence and Agent Systems
Motivation for a new formal framework for agent-oriented software engineering
International Journal of Agent-Oriented Software Engineering
An agent's activities are controlled by his priorities
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Activity scheduling for a robotic caretaker agent for the elderly
International Journal of Intelligent Information and Database Systems
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The traditional BDI agent has 3 basic computational components that generate beliefs, generate intentions and execute intentions. They run in a sequential and cyclic manner. This may introduce several problems. Among them, the inability to watch the environment continuously in dynamic environments may be disastrous. There is also no support for goal and intention reconsideration and consideration of relationships between goals at the architecture level. A parallel BDI agent architecture was proposed in [15] and evaluated in [16]. Based on the work in [15] and [16], we propose in this paper, a general framework for the parallel BDI agent model. Under this general framework, parallel BDI agents with different configurations depending on the availability of physical resources may be built. These agents have a number of advantages over the sequential one: 1. changes in the agent's environment can be detected immediately; 2. emergencies will be dealt with immediately; 3. the support is provided at the architecture level for reconsideration of desires/intentions and the consideration of goal relationships when a new belief/desire is generated. We show some example parallel BDI agents with different configurations under the framework and their performance in a set of experiments.