Simulation of a trading multi-agent system

Pedro Mariano; A. Pereira; L. Correia; R. Ribeiro; V. Abramov; N. Szirbik; J. Goossenaerts; T. Marwala; P. De Wilde

doi:10.1109/ICSMC.2001.972041

Simulation of a trading multi-agent system

Pedro Mariano, A. Pereira, L. Correia, R. Ribeiro, V. Abramov, N. Szirbik, J. Goossenaerts, T. Marwala, P. De Wilde

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

In a trading scenario agents Interact with each other, selling and buying resources. In order to control the behavior of the trading scenario, the interactions must be coordinated. We present a brief discussion of communication types and coordination models applicable in multi-agent systems. We find a programmable tuple space more appropriate to manage and rule the interactions between the trading agents. We discuss the advantages of a trading agent model that deals with the trading strategy, concentrating on what to buy or sell. This relieves the agent from the task of coordinating the negotiations and their revoking or acceptances. This is the task of the programmable tuple space.

Original language	English
Pages (from-to)	3378-3384
Number of pages	7
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	5
DOIs	https://doi.org/10.1109/ICSMC.2001.972041
Publication status	Published - 2001
Externally published	Yes

Keywords

Communication
Coordination
Programmable tuple space

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture

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10.1109/ICSMC.2001.972041

Cite this

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AU - Mariano, Pedro

AU - Pereira, A.

AU - Correia, L.

AU - Ribeiro, R.

AU - Abramov, V.

AU - Szirbik, N.

AU - Goossenaerts, J.

AU - Marwala, T.

AU - De Wilde, P.

PY - 2001

Y1 - 2001

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AB - In a trading scenario agents Interact with each other, selling and buying resources. In order to control the behavior of the trading scenario, the interactions must be coordinated. We present a brief discussion of communication types and coordination models applicable in multi-agent systems. We find a programmable tuple space more appropriate to manage and rule the interactions between the trading agents. We discuss the advantages of a trading agent model that deals with the trading strategy, concentrating on what to buy or sell. This relieves the agent from the task of coordinating the negotiations and their revoking or acceptances. This is the task of the programmable tuple space.

KW - Communication

KW - Coordination

KW - Programmable tuple space

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JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

ER -

Simulation of a trading multi-agent system

Abstract

Keywords

ASJC Scopus subject areas

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