This paper investigates the skills of autonomous agents to reorganize their society as answer to environmental changes. The reorganization of an agent society can be motivated by the desire to reduce connicts within inter-agent cooperation and to increase the eeciency in achieving goals. Our interest is centered on situations where new agents want to join an existing agent society which has est...

Societies are regulated by norms and, consequently, autonomous agents that want to be part of them must be able to reason about norms. However, no reasoning can be done if agents lack a model of norms that allows them to know how by complying with norms some of their goals might be affected. In this paper, a general model of norms is proposed. By contrast with current models of norms, our model...

The complexity of distributed and decentralized systems demands new tools for designing and programming processes. An idea of autonomous agents that arises as an extension of the object and process concepts may be applied to distributed and decentralized systems development ([9],[11]). In the paper the authors have undertaken an attempt to describe formally the architecture of multiagent system...

We design a protocol for two autonomous negotiating agents to incorporate Dung-style argumentation into an ongoing bargaining dialogue. Previous approaches considered bargaining and Dung-Style Argumentation as separated components, we show that intertwining these approaches increases the agents scope of action. In our framework the acceptance of an argument or attack uttered by self-interested ...

Autonomous agents operate in complex and dynamic environments. Therefore, an intelligent agent must be able to learn new capabilities throughout its lifetime or it risks becoming obsolete and useless. Ideally an intelligent agent would be capable of both retrospective and proactive self-adaptation. Retrospective adaptation occurs when an agent fails in its assigned task, and proactive adaptatio...

In this paper we present a new Pilot for a Multi-Agent based control architecture for Autonomous Robots. This Pilot is based on the use of virtual potential fields and is easy to implement yet effective. The Pilot functions as an autonomous agent in a complex Multi-Agent Architecture for the control and navigation of an autonomous robot. In this architecture, various agents are responsible for ...

Predicting and identifying an optimal navigational forecasting for a mobile robot agent is considered to be one of the key challenges for researchers in the field of AI and robotics. A mobile robot agent participating for wide range of mission critical application will explore into an unknown environment will be challenging criteria, considering its contraints such as time, cost, energy, explor...

Commitments are crucial to understanding and designing autonomous agents and multiagent systems. We propose a deenition of commitments that applies especially well to agents in information-rich applications, such as electronic commerce and virtual enterprises. Our approach has a number of important features, including { not gratuitously translating social concepts to psychological concepts { di...

Given the current set of intentions an autonomous agent may have, intention selection is the agent’s decision which intention it should focus on next. Often, in the presence of conflicts, the agent has to choose between multiple intentions. One factor that may play a role in this deliberation is the level of completeness of the intentions. To that end, this paper provides pragmatic but principl...