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Norm-based behaviour modification in BDI agents
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 table of contents
Budapest, Hungary
SESSION: Norms and normative behaviour table of contents
Pages 177-184  
Year of Publication: 2009
ISBN:978-0-9817381-6-1
Authors
Felipe Meneguzzi  King's College London, London, United Kingdom
Michael Luck  King's College London, London, United Kingdom
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Wiley - Blackwell Ltd
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
Publisher
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ABSTRACT

While there has been much work on developing frameworks and models of norms and normative systems, consideration of the impact of norms on the practical reasoning of agents has attracted less attention. The problem is that traditional agent architectures and their associated languages provide no mechanism to adapt an agent at runtime to norms constraining their behaviour. This is important because if BDI-type agents are to operate in open environments, they need to adapt to changes in the norms that regulate such environments. In response, in this paper we provide a technique to extend BDI agent languages, by enabling them to enact behaviour modification at runtime in response to newly accepted norms. Our solution consists of creating new plans to comply with obligations and suppressing the execution of existing plans that violate prohibitions. We demonstrate the viability of our approach through an implementation of our solution in the AgentSpeak(L) language.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Felipe Meneguzzi: colleagues
Michael Luck: colleagues