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Observability-based Nested Belief Computation for Multiagent Systems and Its Formalization

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1757))

Abstract

Some agent architectures employ mental states such as belief, desire, goal, and intention. We also know that one often has a belief about someone else’s belief (nested belief), and one’s action is decided based on the nested belief. However, to the best of our knowledge, there is no concrete agent architecture that employs nested beliefs for decision. The reason is simple: we do not have a good model of nested belief change. Hence, interesting technological questions are whether such a model can be devised or not, how it can be implemented, and how it can be used. In a previous paper, we proposed an algorithm for nested beliefs based on observability and logically characterized its output. Here, we propose another algorithm with improved expressiveness and efficiency.

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Isozaki, H., Katsuno, H. (2000). Observability-based Nested Belief Computation for Multiagent Systems and Its Formalization. In: Jennings, N.R., Lespérance, Y. (eds) Intelligent Agents VI. Agent Theories, Architectures, and Languages. ATAL 1999. Lecture Notes in Computer Science(), vol 1757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10719619_3

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  • DOI: https://doi.org/10.1007/10719619_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67200-5

  • Online ISBN: 978-3-540-46467-9

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