Abstract. The ability to respond sensibly to changing and conflicting beliefs is an integral part of intelligent agency. To this end, we outline the design and implementation of a Distributed Assumption-based Truth Maintenance System (DATMS) appropriate for controlling cooperative problem solving in a dynamic real world multi-agent community. Our DATMS works on the principle of local coherence which means that different agents can have different perspectives on the same fact provided that these stances are appropriately justified. The belief revision algorithm is presented, the meta-level code needed to ensure that all system-wide queries can be uniquely answered is described, and the DATMS’ implementation in a general purpose multi-agent s...
In a real world multiagent system, where the agents are faced with partial, incomplete and intrins...
In this paper, a distributed approach to belief revision is presented. It is conceived as a collecti...
In a real world multiagent system, where the agents are faced with partial, incomplete and intrins...
The ability to respond sensibly to changing and conflicting beliefs is an integral part of intellig...
Belief revision is a critical issue in real world DAI applications. A Multi-Agent System not only h...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
Multi-agent architectures are well suited for complex inherently distributed problem solving domains...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
Abstract. In this paper, a distributed approach to belief revision is presented. It is conceived as ...
This paper outlines a distinction between distributed truth maintenance and distributed belief revis...
We propose a distributed architecture for belief revision-integration, where each element is conceiv...
In this work we analyze the problem of knowledge representation in a collaborative multi-agent syste...
In a multi-agent system, an agents belief base can be modified when that agent receives information ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
The ability to solve conflicting beliefs is crucial for multiagent systems where the information is ...
In a real world multiagent system, where the agents are faced with partial, incomplete and intrins...
In this paper, a distributed approach to belief revision is presented. It is conceived as a collecti...
In a real world multiagent system, where the agents are faced with partial, incomplete and intrins...
The ability to respond sensibly to changing and conflicting beliefs is an integral part of intellig...
Belief revision is a critical issue in real world DAI applications. A Multi-Agent System not only h...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
Multi-agent architectures are well suited for complex inherently distributed problem solving domains...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
Abstract. In this paper, a distributed approach to belief revision is presented. It is conceived as ...
This paper outlines a distinction between distributed truth maintenance and distributed belief revis...
We propose a distributed architecture for belief revision-integration, where each element is conceiv...
In this work we analyze the problem of knowledge representation in a collaborative multi-agent syste...
In a multi-agent system, an agents belief base can be modified when that agent receives information ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
The ability to solve conflicting beliefs is crucial for multiagent systems where the information is ...
In a real world multiagent system, where the agents are faced with partial, incomplete and intrins...
In this paper, a distributed approach to belief revision is presented. It is conceived as a collecti...
In a real world multiagent system, where the agents are faced with partial, incomplete and intrins...