An agent recieves information from the environment which usually includes other agents. Sorne of those agents could be providers of data. It is natural for the agent to maintain a certain arder among the informants based on the reliability or plausibility they show. In a dynamic environment that arder might change. In this work we present a model for representing changes on plausibility relations. The central idea is that the beliefs of an agent are provided by a set of informants, for which there is a plausibility relation. This relation establishes if sorne informants are more reliable than others. We propase change operators for the plausibility relation. We give postulates for these operators and define their construction.I Workshop d...
Traditional work in belief revision deals with the question of what an agent should believe upon re...
In this paper, we model knowledge dynamics in agents' belief bases in a collaborative multi-agent sy...
An agent will generally have incomplete and possibly inac-curate knowledge about its environment. In...
An agent recieves information from the environment which usually includes other agents. Sorne of tho...
Within the context of multi-agent systems, an agent may often ¯nd itself in a position where it rece...
Within the context of multi-agent systems, an agent may often find itself in a position where it rec...
AbstractBelief change is a fundamental problem in AI: Agents constantly have to update their beliefs...
Within the context of multi-agent systems, an agent may often ¯nd itself in a position where it rece...
. A new proposal for incorporating new evidence in an agent's knowledge base is presented in th...
Current reasoning systems attempt to model an agent's knowledge and interaction with its environment...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
In this work we analyze the problem of knowledge representation in a collaborative multi-agent syste...
This chapter gives an overview of current dynamic logics that describe belief update and revision, b...
With the advance of robots and more intelligent computer programs, belief revision is becoming an in...
Traditional work in belief revision deals with the question of what an agent should believe upon re...
In this paper, we model knowledge dynamics in agents' belief bases in a collaborative multi-agent sy...
An agent will generally have incomplete and possibly inac-curate knowledge about its environment. In...
An agent recieves information from the environment which usually includes other agents. Sorne of tho...
Within the context of multi-agent systems, an agent may often ¯nd itself in a position where it rece...
Within the context of multi-agent systems, an agent may often find itself in a position where it rec...
AbstractBelief change is a fundamental problem in AI: Agents constantly have to update their beliefs...
Within the context of multi-agent systems, an agent may often ¯nd itself in a position where it rece...
. A new proposal for incorporating new evidence in an agent's knowledge base is presented in th...
Current reasoning systems attempt to model an agent's knowledge and interaction with its environment...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
In this work we analyze the problem of knowledge representation in a collaborative multi-agent syste...
This chapter gives an overview of current dynamic logics that describe belief update and revision, b...
With the advance of robots and more intelligent computer programs, belief revision is becoming an in...
Traditional work in belief revision deals with the question of what an agent should believe upon re...
In this paper, we model knowledge dynamics in agents' belief bases in a collaborative multi-agent sy...
An agent will generally have incomplete and possibly inac-curate knowledge about its environment. In...