Knowledge-Based Design Evaluation of Rotational CAD-Models with a Multi-Agent System

This paper deals with the verification of a multi-agent system simulator. Agents in the simulator are based on the Mobile Agent Network (MAN) formal model. It describes a shared plan representing a process which allows team formation according to task complexity and the characteristics of the distributed environment where these tasks should be performed. In order to verify the simulation results, we compared them with performance characteristics of a real multi-agent system, called the Multi-Agent Remote Maintenance Shell (MA–RMS). MA–RMS is organized as a team-oriented knowledge based system responsible for distributed software management. The results are compared and analyzed for various testing scenarios which differ with respect to network bandwidth as well as task and network complexity.

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Towards the knowledge-based multi-agent system identification

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) ◽

10.1109/iciea.2015.7334146 ◽

2015 ◽

Cited By ~ 5

Author(s):

K.R. Chernyshov

Keyword(s):

System Identification ◽

Multi Agent System ◽

Agent System ◽

Knowledge Based ◽

Multi Agent

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Multi-agent system for Knowledge-based recommendation of Learning Objects

ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL ◽

10.14201/adcaij2015418089 ◽

2015 ◽

Vol 4 (1) ◽

pp. 80 ◽

Cited By ~ 8

Author(s):

Paula Andrea RODRÍGUEZ MARÍN ◽

Néstor DUQUE ◽

Demetrio OVALLE

Keyword(s):

Learning Objects ◽

Multi Agent System ◽

Agent System ◽

Knowledge Based ◽

Multi Agent

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A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System

International Journal of Information Systems for Crisis Response and Management ◽

10.4018/ijiscram.2017070106 ◽

2017 ◽

Vol 9 (3) ◽

pp. 96-109

Author(s):

Claire Prudhomme ◽

Christophe Cruz ◽

Ana Roxin ◽

Frank Boochs

Keyword(s):

Decision Making ◽

Information Exchange ◽

Disaster Response ◽

Explicit Representation ◽

Multi Agent System ◽

Agent System ◽

Knowledge Based ◽

Testing Strategies ◽

Generic Agent ◽

Multi Agent

The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framework allowing for different organizations involving in the disaster response to assess their collaboration through its simulation using an explicit representation of their knowledge. This framework is based on a multi-agent system composed of three generic agent models to represent the organizational structure of disaster response. The decision-making about response actions is done through task decomposition and repartition. It is based reasoning on ontologies which provides an explicit trace of the response plans design and their execution. Such framework aims at identifying cooperation problems and testing strategies of information exchange to support the preparation of disaster response.

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