Catálogo de publicaciones - libros
Coordination, Organizations, Institutions, and Norms in Agent Systems II: AAMAS 2006 and ECAI 2006 International Workshops, COIN 2006 Hakodate, Japan, May 9, 2006 Riva del Garda, Italy, August 28, 2006. Revised Selected Papers
Pablo Noriega ; Javier Vázquez-Salceda ; Guido Boella ; Olivier Boissier ; Virginia Dignum ; Nicoletta Fornara ; Eric Matson (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Artificial Intelligence (incl. Robotics); Software Engineering/Programming and Operating Systems; Software Engineering; Logics and Meanings of Programs; Programming Techniques; Computer Communication Networks
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-74457-3
ISBN electrónico
978-3-540-74459-7
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2007
Tabla de contenidos
Influence-Based Autonomy Levels in Agent Decision-Making
Bob van der Vecht; André P. Meyer; Martijn Neef; Frank Dignum; John-Jules Ch. Meyer
Autonomy is a crucial and powerful feature of agents and it is the subject of much research in the agent field. Controlling the autonomy of agents is a way to coordinate the behavior of groups of agents. Our approach is to look at it as a design problem for agents. We analyze the autonomy of an agent as a gradual property that is related to the degree of intervention of other agents in the decision process. We define different levels of autonomy in terms of inter-agent influences and we present a BDI-based deliberation process in which different levels of autonomy can be implemented.
V - AUTONOMY, COORDINATION AND SOCIAL ORDER | Pp. 322-337
Centralized Regulation of Social Exchanges Between Personality-Based Agents
Graçaliz Pereira Dimuro; Antônio Carlos da Rocha Costa; Luciano Vargas Gonçalves; Alexandre Hübner
This paper presents a centralized mechanism for solving the coordination problem of personality-based multiagent systems from the point of view of social exchanges. The agents may have different personality traits, which induce different attitudes towards both the regulation mechanism and the possible profits of social exchanges. A notion of exchange stability can be defined, and the connections between agents’ personalities and deviations of social exchanges from the stability point can be established. The model supports a decision procedure based on Qualitative Interval Markov Decision Processes, that can solve the problem of keeping the stability of social exchanges, in spite of the different personality traits of the agents. The paper deals only with transparent agents (agents that allow the external access to their balances of exchange values), but we hint on the case of non-transparent agents. The model is analyzed theoretically and contextualized simulations are presented.
V - AUTONOMY, COORDINATION AND SOCIAL ORDER | Pp. 338-355
Cooperative Interactions: An Exchange Values Model
Maíra R. Rodrigues; Michael Luck
In non-economic cooperative applications with resource constraints, explicitly motivating cooperation is important so that autonomous service providers have incentives to cooperate. When participants of such applications have different skills and expectations over services, it may be that an agent receives less than expected from a cooperation. A decision-making strategy over interactions in this context must consider not only the motivation to cooperate, but also which interactions to perform to cope with resource limitations. In this paper, we present a computational approach for modelling non-economic cooperative interactions based on the theory of . Here, exchange values are used to motivate cooperative interactions, and to allow agents to identify successful and unsuccessful cooperations with others, in order to limit service provision and to improve the number of successful interactions. We also present a scenario in which agents participate in a cooperative application in the bioinformatics domain, and show how agents can improve their interactions using the proposed approach.
V - AUTONOMY, COORDINATION AND SOCIAL ORDER | Pp. 356-371