Multi-agent distributed intelligent system based on fuzzy decision making

Fazlollahi, Bijan; Vahidov, Rustam; Aliev, R. A.

doi:10.1002/1098-111x(200009)15:9<849::aid-int2>3.0.co;2-i

Cited by 19 publications

(9 citation statements)

References 5 publications

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“…For the purpose of making the best decision from the multi-agent subsystem of a homecare robot, this paper applies the methodology proposed by Fazlollahi et aI., which is based on multi-agent distributed artificial intelligence technology and a FMCDM procedure [23]. Figure 8 shows the architecture of our multi-agent FMCDM system.…”

Section: B Fuzzy Multi-criteria Decision Makingmentioning

confidence: 99%

A multi-agent hybrid cognitive architecture with self-awareness for homecare robot

Silva

Liu

2014

2014 9th International Conference on Computer Science &Amp; Education

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This paper presents a novel anthropomorphic multi agent hybrid architecture with abilities of self-awareness and cognitive control for homecare robots. The paper presents the details of the robot memory (knowledge/data base), self-awareness model, learning method for weight updating, and the decision making algorithm. The developed architecture will facilitate a robot to adapt to an uncertain and dynamic home environment and improve its intelligence, reliability and flexibility for effectively performing homecare tasks.Index Terms-homecare robot, multi-agent architecture, self awareness model, robotic learning, robotic decision making.

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Section: B Fuzzy Multi-criteria Decision Makingmentioning

confidence: 99%

A multi-agent hybrid cognitive architecture with self-awareness for homecare robot

Silva

Liu

2014

2014 9th International Conference on Computer Science &Amp; Education

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“…Their DSS generates alternatives using so called ''A-Team'' with multiple constructor, improver, and destroyer agents incorporating diverse OR/MS models. Other similar work included the use of multiple agents for generating solutions with their subsequent evaluation in terms of appropriateness, proposer competence, and other relevant factors [2,22].…”

Section: Agents and Massmentioning

confidence: 99%

Pluralistic multi-agent decision support system: a framework and an empirical test

Vahidov

Fazlollahi

2004

Information & Management

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“…Usually, several intelligent agents (e.g. interface agent, information discovery agent) organized in distributed architectures take part in the information gathering activity [3,8,9,14,19]. The problem is the design of appropriate communication protocols among the agents.…”

Section: A Fuzzy Linguistic Multi-agent Model For Information Gatherimentioning

confidence: 99%

A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques

Herrera‐Viedma

Porcel

López

et al. 2004

Advances in Web Intelligence

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Information gathering in Internet is a complex activity. A solution consists in to assist Internet users in their information gathering processes by means of distributed intelligent agents in order to find the fittest information to their information needs. In this paper we describe a fuzzy linguistic multi-agent model that incorporates information filtering techniques in its structure, i.e., a collaborative filtering agent. In such a way, the information filtering possibilities of multi-agent system on the Web are increased and its retrieval results are improved.

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Multi-agent distributed intelligent system based on fuzzy decision making

Cited by 19 publications

References 5 publications

A multi-agent hybrid cognitive architecture with self-awareness for homecare robot

A multi-agent hybrid cognitive architecture with self-awareness for homecare robot

Pluralistic multi-agent decision support system: a framework and an empirical test

A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques

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