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...

This study presents a review of biodegradability modeling efforts including a detailed assessment of two models developed using an artificial intelligence based methodology. Validation results for these models using an independent, quality reviewed database, demonstrate that the models perform well when compared to another commonly used biodegradability model, against the same data. The ability...

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...

research institutes, and academic institutions from far corners of the world. The subtitle was “Theory for systems; application for theories,” and the aim was to find common ground between those who work on defining The American Association for Artificial Intelligence, in cooperation with Stanford University’s Department of Computer Science, presented the 2002 Spring Symposium Series, held Mond...

Conceptual blending is an important area of research for creativity modeling. In this paper we present a creativity model that takes an existing blend and generates new blends using the nearest neighborhood replacements from a lexical ontology. For example “Artificial Intelligence” is a compounded concept comprising of “Artificiality” and “Intelligence” as two sub-concepts. After concept genera...