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Publication
Domain-specific trust for context-aware BDI Agents: preliminary work
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Advisor(s)
Abstract(s)
Context-aware systems are capable of perceiving the physical environment where they are deployed and adapt
their behavior accordingly. Multiagent systems based on the BDI architecture can be used to process contextual
information in the form of beliefs. Contextual information can be divided and structured in the form of
information domains. Information and experience sharing enables a single agent to receive data on different
information domains from another agent. In this scenario, establishing a trust model between agents can take
into account the relative perceptions each agent has of the others, as well as different trust degrees for different
information domains. The objective of this work is to adapt an epistemic model to be used by agents with their
belief revision in order to establish a mechanism of domain-specific relative trust attribution. Such mechanism
will allow for each agent to possess different trust degrees associated with other agents regarding different
information domains.
Description
Keywords
Context-aware systems Multiagent systems BDI Trust Contextual planning Experience sharing Learning . Faculdade de Ciências Exatas e da Engenharia
Citation
Casals, A., Fermé, E. and Brandão, A. Domain-specific Trust for Context-aware BDI Agents - Preliminary Work. DOI: 10.5220/0006600602440249 In Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018) - Volume 1, pages 244-249
Publisher
Scitepress