This paper aims at explaining how to follow an agent-oriented process to develop a multi-agent mechanism design system. ADELFE methodology is devoted to adaptive multi-agent systems in which adaptation is enabled by cooperative self-organization. Two main works are emphasized. First, the analysis leads to the agent identification by studying the interactions both between the system and its envi...

Knowledge-based systems (KBS), which represent the knowledge and problem-solving expertise of human experts as well as other sources of expertise in narrow knowledge domains, have been used to support group decision-making. This research studied the use of a KBS and its explanation facilities to support group decision-making of experts versus novices in a laboratory setting. Consistent with pre...

In this paper we discuss a scaling approach to business fluctuations. Our starting point consists in recognizing that concepts and methods derived from physics have allowed economists to (re)discover a set of stylized facts which have to be satisfactorily accounted for in their models. Standard macroeconomics, based on a reductionist approach centered on the representative agent, is definitely ...

The explanation of the results is a key point of automatic problem solvers. CBR systems solve a new problem by assessing its similarity with already solved cases and they commonly show the user the set of cases that have been assessed as the most similar to the new problem. Using the notion of symbolic similarity, our proposal is to show the user a symbolic description that makes explicit what ...

We present a detailed analysis of the self-organization phenomenon in which the stylized facts originate from finite size effects with respect to the number of agents considered and disappear in the limit of an infinite population. By introducing the possibility that agents can enter or leave the market depending on the behavior of the price, it is possible to show that the system self-organize...

This paper studies the effect of different implementation approaches on agent-based computer models. This is accomplished via four reimplementations of a simple model of self-organization. How implementation choices 'guide our hands' and lead possibly to implicit assumptions about the modeled system is also demonstrated. Furthermore, the question of what makes a model agent-based is studied. An...

Self-adaptive systems are distributed computing systems that can adapt their behavior and structure to different kinds of conditions. This adaptation does not concern the single components only, but the entire system. In a previous work we have identified several patterns for self-adaptation, classifying them by means of a taxonomy, which aims at being a support for developers of self-adaptive ...

Although various location-sensing techniques and services have been developed, most of the conventional location-based services provide only static service. They do not consider user’s preference but only a current location. Considering the trajectory might help to understand the user’s intention and to provide a proper service. We propose a novel method that predicts user’s mobility to provide...

How do collective processes in decentralized, self-organizing systems respond to environmental change? What are the contrasting roles of collective structures and innovative components (variation, diversity, entropy), and how do these roles change with different rates of environmental change? To answer these questions, a simple self-organizing system is examined – a simulation of foraging for f...

Flocks of brown-headed cowbirds, Molothrus ater, selforganize social environments, which have strong impacts on social learning and behavior. To understand the rules underlying self-organization of the social environment, I develop an agent-based model of cowbird social association and evolve it to match observed patterns of association measured from real birds. The behavioral rules evolved in ...