In this paper, we propose a framework for information exchange among abductive agents whose local knowledge bases are enlarged with a set of abduced hypotheses. We integrate the as...
Marco Gavanelli, Evelina Lamma, Paola Mello, Paolo...
This paper presents a multiagent architecture constructed for learning from the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carb...
Protection of agent data state and partial results in mobile agent systems continues to draw research interest. Current solutions to integrity attacks are geared at detection of m...
J. Todd McDonald, Alec Yasinsac, Willard C. Thomps...
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...