Knowledge in multiagent systems
نویسندگان
چکیده
منابع مشابه
Knowledge Modelling in Multiagent Systems:
This paper presents the knowledge model of a distributed decision support system, that has been designed for the management of a national network in Ukraine. It shows how advanced Artificial Intelligence techniques (multiagent systems and knowledge modelling) have been applied to solve this real-world decision support problem: on the one hand its distributed nature, implied by different loci of...
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Agent’s motivations are represented aa preference, utility on global states of the system. So that agent’s goal consists in maximization of his utility. Maybe not all motivations can be represented in this way, however this representation is formal and allows to focus on interactions between planning, mutual (common) knowledge, and decision making. Usually Bayesian behavior is considered aa the...
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The goal of this thesis is to allow easier design of probabilitybased agents and multiagent systems, resulting in rational decision making. A multiagent framework is presented and compared with other proposed frameworks where advantages and disadvantages of each are outlined. A central problem of message passing in probabilistic systems is the familiar rumor problem, where cycles in message pas...
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In a seminal paper, Lin and Reiter introduced the progression of basic action theories in the situation calculus. In this paper, we study the progression of knowledge in multiagent settings, where after actions, an agent updates her beliefs but also updates what she believes other agents know given what has occurred. By appealing to the notion of only knowing, we are able to avoid limitations o...
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ژورنال
عنوان ژورنال: ACM Transactions on Computational Logic
سال: 2000
ISSN: 1529-3785,1557-945X
DOI: 10.1145/359496.359527