The work described in this paper aims at the definition of a general framework for the formal specification of agents` beliefs in a multiagent environment. The basic idea is to model both agents` beliefs and the view that each agent has of other agents` beliefs as logical theories. The logical theories and the relations among them characterize a ‘belief system’. Belief systems are naturally presented using ‘Multi context systems’. We show how some of the modal approaches to the formalization of (non) omniscient belief can be captured within our framewor
Multi-agent systems consist of a number of autonomous agents (software programs) that are capable of...
Starting from the view that it is convenient to look to Artificial Agents (AA) as institutionally de...
In multi-agent systems a group of autonomous intelligent systems, called agents, acts and cooperates...
The goal of this paper is to present a logical framework for the formalization of agents` mutual bel...
This paper describes a general framework for the formalization of monotonic reasoning about belief i...
. The formalization of agents attitudes, and belief in particular, has been investigated in the past...
It is widely recognized that intelligent and autonomous agents operating in a distributed environmen...
The formalization of agents attitudes, and belief in particular, has been investigated in the past b...
This paper is concerned with providing a context based logic (language + semantics) for the represen...
(Conférencier invité) Workshop hosted by the 18th European Conference on Artificial Intelligence ECA...
We present a logical framework for reasoning about multi-agent systems. This framework uses Giunchig...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge ...
As discussed in previous papers, belief contexts are a powerful and adequate formalism for the repre...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
Multi-agent systems consist of a number of autonomous agents (software programs) that are capable of...
Starting from the view that it is convenient to look to Artificial Agents (AA) as institutionally de...
In multi-agent systems a group of autonomous intelligent systems, called agents, acts and cooperates...
The goal of this paper is to present a logical framework for the formalization of agents` mutual bel...
This paper describes a general framework for the formalization of monotonic reasoning about belief i...
. The formalization of agents attitudes, and belief in particular, has been investigated in the past...
It is widely recognized that intelligent and autonomous agents operating in a distributed environmen...
The formalization of agents attitudes, and belief in particular, has been investigated in the past b...
This paper is concerned with providing a context based logic (language + semantics) for the represen...
(Conférencier invité) Workshop hosted by the 18th European Conference on Artificial Intelligence ECA...
We present a logical framework for reasoning about multi-agent systems. This framework uses Giunchig...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge ...
As discussed in previous papers, belief contexts are a powerful and adequate formalism for the repre...
Single-agent planning in partially observable settings is a well understood problem and existing pla...
Multi-agent systems consist of a number of autonomous agents (software programs) that are capable of...
Starting from the view that it is convenient to look to Artificial Agents (AA) as institutionally de...
In multi-agent systems a group of autonomous intelligent systems, called agents, acts and cooperates...