The study of the development of cooperative multi-agent systems is an issue of fundamental importance in the field of distributed artificial intelligence. We present a new type of multi-agent system, called dynamic agency, that is aimed to overcome the critical problem of having each agent performing both several specific operation functions and one uniform cooperation function. Dynamic agency ...

Electronic Commerce plays an important role in today’s business. We here present an overview of the techniques involved in Electronic Commerce, highlighting its advantages as well as challenges, showing how distributed artificial intelligence can be used in this field. We also stress how economic organisations are being affected by this new paradigm leading to the establishment of Electronic Ma...

Among the traditional two approaches to scientific discovery, which assume that scientific discovery is a totally rational or a totally irrational activity, we adopt a third intermediate approach that envisages a bipolar scientific discovery in which man and machine are synergically involved. The purpose of this paper is to illustrate the mutual interaction between two interesting roles that ma...

Multiagent systems are a matter of growing importance in distributed artificial intelligence. Whereas several applications based on multiagent systems have been developed to address disparate fields, little work has been done for the definition of general methodologies to develop multiagent systems. The purpose of this paper is to present a formal description of the first phase of the design of...

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...

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...

using image processing and artificial intelligence systems in agriculture and food industry is increasing daily. the purpose of this research is to study the feasibility of using image processing technique in predicting process of moisture content changes on green tea sheets during the drying using predictive artificial intelligence systems such as: artificial neural networks and adaptive neuro...

Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. Existing problem domains for DCOP focus on small (<100 variables), deterministic domains. We present a mapping to DCOP for large-scale team coordination problems that were used in the DARPA Coordinators program. This domain requires distributed, scalable algorithms to meet diffic...

The ambitious short-term and long-term goals set down by the various national space agencies call for radical advances in several of the main space engineering areas, the design of intelligent space agents certainly being one of them. In recent years, this has led to an increasing interest in artificial intelligence by the entire aerospace community. However, in the current state of the art, se...