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An Agent Cooperation Model and Dependency Measurement Based on Merge & Synthesis on Shared Timed Task Environments

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11248))

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Abstract

In this paper, we analyze cooperation phenomena based on agent synthesis on merge of timed two-input discrete transition systems. The model allows handling of possible incomplete task environment descriptions and representation of nondeterministic directive effects and/or deviating (or blocking) disturbances defined over agent capabilities. Also, we propose an agent dependency measure that uses the result of additive Merge&Synthesis operation for quantification purpose.

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Acknowledgements

Author of the paper would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper.

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Correspondence to Hürevren Kılıç .

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Kılıç, H. (2018). An Agent Cooperation Model and Dependency Measurement Based on Merge & Synthesis on Shared Timed Task Environments. In: Kaenampornpan, M., Malaka, R., Nguyen, D., Schwind, N. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2018. Lecture Notes in Computer Science(), vol 11248. Springer, Cham. https://doi.org/10.1007/978-3-030-03014-8_24

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  • DOI: https://doi.org/10.1007/978-3-030-03014-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03013-1

  • Online ISBN: 978-3-030-03014-8

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