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The aim of this paper is to raise awareness of some issues in designing (formal) models for norm change. I start by positioning this research in a broader context. Then I will briefly recall several concepts and problems from deontic logic, which is the field primarily concerned with notions like ‘norm’, ‘obligation’, ‘right’, etc. Then I proceed with what I regard the main contribution of the paper:...
Electronic institutions (EIs) define the rules of the game in agent societies by fixing what agents are permitted and forbidden to do and under what circumstances. Autonomic Electronic Institutions (AEIs) adapt their rules to comply with their goals when regulating agent societies composed of varying populations of self-interested agents. We present a self-adaptation model based on Case-Based Reasoning...
We are concerned with multi-agent systems which are open, volatile, and decentralised, and which require collective use of a limited common resource. We define an institution to regulate access to the resource through a vote. We then investigate the adaptation of the voting rules to deal with the volatility of the agent presence, with the aim of achieving some semblance of ‘satisfaction’ without depleting...
Autonomic computing is being advocated as a tool for maintaining and managing large, complex computing systems. Self-organising multi-agent systems provide a suitable paradigm for developing such autonomic systems. Towards this goal, we demonstrate a robust, decentralised approach for structural adaptation in explicitly modelled problem solving agent organisations. Our method is based on self-organisation...
Organization–oriented modeling approaches are established tools for Agent–Oriented Software Engineering (AOSE) efforts. Role and Group concepts are prevalent concepts in the design of agent–based applications. These allow the definition and partition of static organizational structures and facilitate the description of agent behaviors in terms of role/group changing activities. Due to a growing interest...
Agent-based simulation can be used to investigate behavioural requirements, capabilities and strategies that might be helpful in complex, dynamic and adaptive situations, and can be used in training scenarios. In this paper, we study the requirements of coordination in complex unfolding scenarios in which agents may come and go and where there is a dynamic organisational structure. This is a step...
Physical agents, such as robots, are generally constrained in their communication capabilities. In a multi-agent system composed of physical agents, these constraints have a strong influence on the organization and the coordination mechanisms. Our multi-agent system is a satellite constellation for which we propose a collaboration method based on incremental coalition formation in order to optimize...
Agent-based simulations have proven to be suitable to investigate many kinds of problems, especially in the field of social science. But to provide useful insights, the behaviour of the involved, simulated actors needs to reflect relevant features of the real world. In this paper, we address one particular aspect in this regard, namely the correct reflection of an actor’s evolution during a simulation...
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