Effective Selection of Abstract Plans for Multi-Agent Systems

Many researchers have demonstrated that the organizational design employed by an agent system can have a significant, quantitative effect on its performance characteristics. A range of organizational strategies have emerged from this line of research, each with different strengths and weaknesses. In this article we present a survey of the major organizational paradigms used in multi-agent systems. These include hierarchies, holarchies, coalitions, teams, congregations, societies, federations, markets, and matrix organizations. We will provide a description of each, discuss their advantages and disadvantages, and provide examples of how they may be instantiated and maintained. This summary will facilitate the comparative evaluation of organizational styles, allowing designers to first recognize the spectrum of possibilities, and then guiding the selection of an appropriate organizational design for a particular domain and environment.

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Strategy Model for Multi-Robot Coordination in Robotic Soccer

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.393.592 ◽

2013 ◽

Vol 393 ◽

pp. 592-597 ◽

Cited By ~ 2

Author(s):

José G. Guarnizo ◽

Martin Mellado ◽

Cheng Yee Low ◽

Norheliena Aziz

Keyword(s):

Team Member ◽

Multi Agent Systems ◽

Agent Systems ◽

Strategy Model ◽

Soccer Teams ◽

Multi Agent ◽

Soccer Robots ◽

Robotic Soccer ◽

Selection Of ◽

Multi Robot

Soccer robots have been frequently used to validate models of multi-agent systems, involving collaboration among the agents. For this purpose, many researchers in robotics have been developing robotic soccer teams which compete in events such as RoboCup. This paper presents a strategy model for multi-robot coordination in robotic soccer teams involving ball position, team member position and opponent position for the selection of a team tactic and the player roles. This assignation is dynamical and achieved by a virtual coach. This strategy model was validated in a RoboCup Small Size League environment using Webots robot simulator.

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Dynamic Selection of Negotiation Protocol in Multi-agent Systems for Disaster Management

Computational Collective Intelligence. Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-23938-0_37 ◽

2011 ◽

pp. 363-373 ◽

Cited By ~ 1

Author(s):

Amelia Bădică ◽

Costin Bădică ◽

Sorin Ilie ◽

Alex Muscar ◽

Mihnea Scafeş

Keyword(s):

Disaster Management ◽

Multi Agent Systems ◽

Dynamic Selection ◽

Negotiation Protocol ◽

Agent Systems ◽

Multi Agent ◽

Selection Of

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A multi-agent systems-based contractor pre-qualification model

Engineering Construction & Architectural Management ◽

10.1108/ecam-01-2016-0013 ◽

2016 ◽

Vol 23 (6) ◽

pp. 709-726 ◽

Cited By ~ 12

Author(s):

Faikcan Kog ◽

Hakan Yaman

Keyword(s):

Selection Process ◽

Construction Sector ◽

Multi Agent Systems ◽

Content Type ◽

Quantitative Survey ◽

Agent Systems ◽

Proposed Model ◽

Multi Agent ◽

User Friendly ◽

Selection Of

Purpose The selection of the contractor, as a main participant of a construction project, is the most important and challenging decision process for a client. The purpose of this paper is to propose a multi-agent systems (MAS)-based contractor pre-qualification (CP) model for the construction sector in the frame of the tender management system. Design/methodology/approach The meta-classification and analysis study of the existing literature on CP, contractor selection and criteria weighting issues, which examines the current and important CP criteria, other than price, is introduced structurally. A quantitative survey, which is carried out to estimate initial weightings of the identified criteria, is overviewed. MAS are used to model the pre-qualification process and workflows are shown in Petri nets formalism. A user-friendly prototype program is created in order to simulate the tendering process. In addition, a real case regarding the construction work in Turkey is analyzed. Findings There is a lack of non-human-driven solutions and automation in CP and in the selection problem. The proposed model simulates the pre-qualification process and provides consistent results. Research limitations/implications The meta-classification study consists of only peer-reviewed papers between 1992 and 2013 and the quantitative survey initiates the perspectives of the actors of Turkish construction sector. Only the traditional project delivery method is selected for the proposed model, that is other delivery methods such as design/build, project management, etc., are not considered. Open, selective limited and negotiated tendering processes are examined in the study and the direct supply is not considered in the scope. Practical implications The implications will help to provide an objective CP and selection process and to prevent the delays, costs and other troubles, which are caused by the false selection of a contractor. Originality/value Automation and simulation in the pre-qualification and the selection of the contractor with a non-human-driven intelligent solution ease the decision processes of clients in terms of cost, time and quality.

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Trust and Normative Control in Multi-Agent Systems

ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL ◽

10.14201/adcaij2012114352 ◽

2013 ◽

Vol 1 (1) ◽

pp. 43-52

Author(s):

Joana Urbano ◽

Henrique Lopes Cardoso ◽

Ana Paula Rocha ◽

Eugénio Oliveira

Keyword(s):

Negotiation Process ◽

Dyadic Relationships ◽

Multi Agent Systems ◽

Agent Behavior ◽

Agent Systems ◽

Economics Literature ◽

Multi Agent ◽

Behavior Models ◽

Selection Of

Despite relevant insights from socio-economics, little research in multi-agent systems has addressed the interconnections between trust and normative notions such as contracts and sanctions. Focusing our attention on scenarios of betrayal, in this paper we combine the use of trust and sanctions in a negotiation process. We describe a scenario of dyadic relationships between truster agents, which make use of trust and/or sanctions, and trustee agents, characterized by their ability and integrity, which may influence their attitude toward betrayal. Both agent behavior models are inspired in socio-economics literature. Through simulation, we show the virtues and shortcomings of using trust, sanctions, and a combination of both in processes of selection of partners.

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Multi-agent system as support process of transplant of organs

Visión electrónica ◽

10.14483/22484728.18398 ◽

2018 ◽

Vol 1 (2) ◽

pp. 349-363

Author(s):

Félix Andrés Sánchez-Rivera ◽

Miguel Ángel Leguizamón-Páez ◽

Jheshua Dannand Jared Larrota-Alférez

Keyword(s):

Base Line ◽

Multi Agent System ◽

Transplant Recipients ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Search And Selection ◽

Tissue Transplant ◽

Selection Of

This article is a review that leads to build a state of knowledge about Multi-Agent Systems based on Selection and Search (ISSA) applied in the search and selection of organ and tissue transplant recipients, emphasizing as a case study the heart, using Geo-location. In particular, this research analyzes technical, scientific and normative aspects of ISSA, between 2007 and 2017, in Europe (Spain) and Latin America (Colombia). A base line of systems based on Artificial Intelligence is thus obtained for the selection and search of transplant recipients, before a possible demand of the List of Persons Waiting for Donation (LED). From the above, solutions can be implemented reducing time in the allocation of organs taking into account their characteristics and compatibility: blood group, size, location criteria, among others, from one to several possible recipients. Finally, a technological solution model for Colombia is proposed.

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