this paper presents a comprehensive robust distributed intelligent control for optimum self-healing activities in smart distribution systems considering the uncertainty in loads. the presented agent based framework obviates the requirements for a central control method and improves the reliability of the self-healing mechanism. agents possess three characteristics including local views, decentr...

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...

In a multiagent system, coalition formation is a coordination method for agents aiming to form groups of interest. In this paper, we focus on the particular context where agents are self-interested and plan their activities. We develop a new coalition formation model that uses the plans of the agents to guide the search for the coalitions and analyzes the coalition proposals already suggested b...

In this paper we describe an individual-based model to account for the growth and morphogenesis of networks of galleries in the ant Messor sancta. The activity of the individuals depends only on their local perception of the immediate surroundings. Coordination between ants arises from the modifications of the environment resulting from their activity: the removal of sand pellets and a pheromon...

In [2] a general framework for the study of Emergence and hyper-structure was presented. This approach is mostly concerned with the description of such systems. In this paper we will try to bring forth a different aspect of this model we feel will be useful in the engineering of agent based solutions, namely the symbiotic approach. In this approach a self-organizing method of dividing the more ...

This paper tests a learning-based model of strategic teaching in repeated games with incomplete information. The repeated game has a long-run player whose type is unknown to a group of short-run players. The proposed model assumes a fraction of ‘short-run’ players follow a one-parameter learning model (self-tuning EWA). In addition, some ‘long-run’ players are myopic while others are sophistica...

— We present an overview of some representative Agent-Based Models in Economics. We discuss why and how agent-based models represent an important step in order to explain the dynamics and the statistical properties of financial markets beyond the Classical Theory of Economics. We perform a schematic analysis of several models with respect to some specific key categories such as agents’ strategi...

This paper describes an agent-based model to investigate the origins of gender differences in social status. The agents’ basic behaviour is modelled according to Kemper’s sociological status-power theory. Differences in the socializing forces of the surrounding society are modelled using Hofstede’s dimensions of culture. Particulars of play behaviour are modelled using experimental child develo...