By Wiebe van der Hoek (auth.), Chiaki Sakama, Sebastian Sardina, Wamberto Vasconcelos, Michael Winikoff (eds.)
This ebook constitutes the completely refereed post-proceedings of the ninth foreign Workshop on Declarative Agent Languages and applied sciences, DALT 2011, held in Taipei, Taiwan, in may possibly 2011. the quantity comprises 6 revised chosen provided at DALT 2011, 7 top papers from the DALT sequence through the years, explaining how the learn constructed and the way it encouraged and impacted the group, the state of the art and next paintings, and invited papers from the DALT Spring tuition, which came about in April 2011.
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The former may be used to permanently eliminate a goal that cannot be achieved (although suspension may be a more sensible response). g. re-fuelling). π which executes π (we can define synchronous and asynchronous variants of this) – P ICK M E which specifies that this goal should be given priority when selecting which goal to execute (but, since more than one goal may be flagged as P ICK M E, cannot guarantee that the goal will be selected next). More generally, we could have a priority mechanism and have responses that raise/lower the priority of the goal.
They have all used constraints and message passing in LCC interaction models to implement security solutions for access control and secure data transfer, but they have not addressed inference of private data based on our defined probing attack. In this paper, we introduce a new attack against the confidentiality of agents’ local knowledge, inspired by the concept of probing attack in conventional computer networks. We introduce an attack detection method by proposing a conceptual representation of LCC interaction models and adapting an inference system from credential-based authorisation policies [13] to electronic institutions.
AgentSpeak(L): BDI Agents Speak Out in a Logical Computable Language. , Van de Velde, W. ) MAAMAW 1996. LNCS (LNAI), vol. 1038, pp. 42–55. Springer, Heidelberg (1996) 13. : Goals in the context of BDI plan failure and planning. In: Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 16–23 (2007) 14. : Structural operational semantics (lecture notes). Technical Report DAIMI FN19, Aarhus University (1981(reprinted 1991)) 15. : Identifying and resolving conflicts among agents with hierarchical plans.