In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessary to enlarge the traditional concept of Belief Revision. For detecting contradictions and identifying their sources it is sufficient to maintain informations about what has been told; but to "solve" a contradiction it is necessary to keep informations about who said it or, in general, about the source where that knowledge came from. We can take as certain the fact that an agent gave an information, but we can take the given information only as a revisable assumption. The Belief Revision system can't leave the sources of the informations out of consideration because of their relevance in giving the additional notion of "strength of belief" [G...
It is generally recognized that the possibility of detecting contradictions and identifying their so...
The abilities of detecting contradictions and rearranging the cognitive space in order to cope with ...
This paper presents both a semantic and a computational model for multi-agent belief revision. We sh...
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...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
The ability to respond sensibly to changing and conflicting beliefs is an integral part of intellig...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...
Traditional work in belief revision deals with the question of what an agent should believe upon re...
We consider the problem of belief revision in a multi-agent system with information stemming from di...
Belief revision is the process of rearranging a knowledge base to preserve global consistency whilst...
Belief revision traditionally deals | from a first person perspective | with the question of what an...
Belief revision is a critical issue in real world DAI applications. A Multi-Agent System not only h...
This paper presents both a semantic and a computational model for multi-agent belief revision. We sh...
It is generally recognized that the possibility of detecting contradictions and identifying their so...
The abilities of detecting contradictions and rearranging the cognitive space in order to cope with ...
This paper presents both a semantic and a computational model for multi-agent belief revision. We sh...
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...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
The ability to respond sensibly to changing and conflicting beliefs is an integral part of intellig...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...
Traditional work in belief revision deals with the question of what an agent should believe upon re...
We consider the problem of belief revision in a multi-agent system with information stemming from di...
Belief revision is the process of rearranging a knowledge base to preserve global consistency whilst...
Belief revision traditionally deals | from a first person perspective | with the question of what an...
Belief revision is a critical issue in real world DAI applications. A Multi-Agent System not only h...
This paper presents both a semantic and a computational model for multi-agent belief revision. We sh...
It is generally recognized that the possibility of detecting contradictions and identifying their so...
The abilities of detecting contradictions and rearranging the cognitive space in order to cope with ...
This paper presents both a semantic and a computational model for multi-agent belief revision. We sh...