This paper presents a detailed overview on coalition formation mechanisms developed in the areas of game theory, distributed artificial intelligence, and electronic commerce. Further it proposes a concept of long-term coalitions for the electronic marketplace based on nurturing customer-vendor relationships. Because trust is an important factor in any form of commercial interactions we use trus...

The dynamics and characteristics behind intelligent cognitive systems lie at the heart of understanding, and devising, successful solutions to a variety of multiagent problems. Despite the extant literature on collective intelligence, important questions like “how does the effectiveness of a collective compare to its isolated members?” and “are there some general rules or properties shaping the...

In this paper, we describe an application scenario where distributed artificial intelligence is needed for performance monitoring and fault diagnosis in a telecommunications network. We then describe the prototype agent-based system that we have developed for this task. Based on this application scenario, we highlight the key issues that have affected the design of our system, in terms of the c...

This paper presents a newly developed student model agent, which is the basic part of an e-learning environment that incorporates Intelligent Agents and Computational Intelligence Techniques. The elearning environment consists of three parts, the E-learning platform Front-End, the Student Questioner Reasoning and the Student Model Agent. The basic aim of this contribution is to describe in deta...

The construction of Smart Grids leads to the main question of what kind of intelligence such grids require and how to build it. Some authors choose an agent based solution to realize this intelligence. However, there may be some misunderstandings in the way this technology is being applied. This paper exposes some considerations of this subject, focusing on the Microgrid level, and shows a prac...

The MATLB (Mobile Agent for Traffic Load Balancing) architecture proposed here is a conceptual service-oriented architecture supporting interoperability of systems implementing Ambient Intelligence (AmI) environment. The objective of the paper Mobile Agent Approach for Traffic Load Balancing using Sensors focuses on building an environment equipped with ambient intelligence that can control the...

There are a great deal of approaches in artificial intelligence, some of them also coming from biology and neirophysiology. In this paper we are making a review, discussing many of them, and arranging our discussion around the autonomous agent research. We highlight three aspect in our classification: type of abstraction applied for representing agent knowledge, the implementation of hypothesis...

This paper explores the development of an Artificial Intelligence system for an already existing framework of card games, called SKCards, and the experimental results obtained from this. The current Artificial intelligence in the SKCards Blackjack is highly flawed. Reinforcement Learning was chosen as the method to be employed. Reinforcement Learning attempts to teach a computer certain actions...

Research in distributed artificial intelligence (DAI) is concerned with how automated agents can be designed to interact effectively. Negotiation is proposed as a means for agents to communicate and compromise to reach mutually beneficial agreements. The paper examines the problems of resource allocation and task distribution among autonomous agents which can benefit from sharing a common resou...