This paper presents the main features and some simulation results for the DEPINT system, a multi-agent system conceived to illustrate some essential aspects of a social reasoning mechanism (Sichman, 1995), based on the notion of social dependence (Castelfranchi et al., 1992). This social reasoning mechanism is considered to be an essential building block of really autonomous agents, immersed in...

• Set of agents A = {1..n} and set of indivisible resources R. • An allocation A is a partitioning of R amongst the agents. Example: A(i) = {r5, r7} — agent i owns resources r5 and r7 • Each agent i ∈ A has got a valuation function vi : 2R → R. Example: vi(A) = vi(A(i)) = 577.8 — agent i is pretty happy • Agents may engage in negotiation to exchange resources in order to benefit either themselv...

In this chapter, we present a framework for the design of agent societies that considers the influence of social organizational aspects on the functionality and objectives of the agent society and specifies the development steps for the design and development of an agent-based system for a particular domain. Our approach will provide a generic frame that directly relates to the organizational p...

August 1, 2012. While preparing this column and in my periodic and frantic search for material of interest, I stumbled on this most appropriate motto: Optimum is maximum at a minimum – due to the nu-jazz artist Mr Gaus (no, this is not made up). In view of the coming ISMP festivities, this sounded a marvelous quote, at least if properly interpreted. Indeed, it would be completely wrong to sugge...

In some two-player games, e.g., the Prisoner’s Dilemma(PD), myopic decisions can produce poor performance both for the individual and the agent collection (society). When such games are played repeatedly between agents in a society, auxiliary mechanisms can be used to mitigate such lack of coordination. By biasing which other agents a particular agent can play, we can promote social coordinatio...

Multi-agent systems can be considered from a variety of perspectives. One such perspective arises from considering the architecture of an agent itself. Another is that of an instantiated agent architecture and its interaction with its peers in a MAS. A third perspective is that of an external observer. These three perspectives cover a potentially overlapping but essentially distinct set of issu...

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Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM) presents a multidimensional agent-oriented approach for brain modelling and decision making based on the hypothesis that a brain system consists of a society of semiautonomous neural agents and full autonomy is the result of coordination of semiautonomous functionalities. The agent-oriented approach leads to the following con...

Akira Namatame, Hiroshi Sato Dept. of Computer Science, National Defense Academy Yokosuka, 239-8686, JAPAN E-mail: { nama, hsato}@cc.nda.ac.jp Abstract An important aspect of collective intelligence is the learning strategy adapted by each agent. An interesting problem which has been widely investigated is under what circumstances will agents converge to some particular equilibrium? We consider...

With the recent rapid growth of interest in Multi-Agent Systems(MAS), has come an associated difficulty modelling basic terms, concepts. In this paper, the underlying homogeneousness between human being (society) and software agent (MAS, Multi-Agent System) is opened out, based on which a new definition and architecture for agent is proposed. An agent is made of certain soft genes and roles. Su...