The computational complexity of propositional STRIPS planning
Artificial Intelligence
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
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IEEE Expert: Intelligent Systems and Their Applications
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Propositional planning in BDI agents
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Semantics of declarative goals in agent programming
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Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
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IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Augmenting BDI agents with deliberative planning techniques
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Declarative Agent Languages and Technologies VI
DALT'11 Proceedings of the 9th international conference on Declarative Agent Languages and Technologies
Declarative planning in procedural agent architectures
Expert Systems with Applications: An International Journal
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Research on practical models of autonomous agents has largely focused on a procedural view of goal achievement. This allows for efficient implementations, but prevents an agent from reasoning about alternative courses of action for the achievement of its design objectives. In this paper we show how a procedural agent model can be modified to allow an agent to compose existing plans into new ones at runtime to achieve desired world states. This new agent model can be used to implement a declarative goals interpreter, since it allows designers to specify only the desired world states in addition to an agent's basic capabilities, enhancing the agent's ability to deal with failures. Moreover our approach allows the new plans to be included in the plan library, effectively enabling the agent to improve its runtime performance over time.