Computer users employ a collection of software tools to support their day-to-day work. Often the software environment is dynamic with new tools being added as they become available and removed as they become obsolete or ...

The use of intelligent software agents is a modelling paradigm that is gaining increasing attention in the applications of distributed systems. This paper identifies essential characteristics of agents and shows how they ...

This paper describes an architecture for building distributed information systems from existing information resources, based on distributed object and software agent technologies. This architecture is being developed as ...

The increasing availability and variety of large environmental data sets is opening new opportunities for data mining and useful cross-referencing of disparate environmental data sets distributed over a network. In order ...

In today's open, distributed environments, there is an increasing need for systems to assist the interoperation of tools and information resources. This paper describes a multi-agent system, DALEKS, that supports such ...

This paper discusses the problem of integrated planning and execution for tasks that involve the consumption, production and alteration of relational information. Unlike information retrieval problems, the information ...

This paper describes an agent-based architecture designed to provide automation support for users who perform information processing tasks using a collection of distributed and disparate software tools and on-line resources. ...

Current tools and techniques for ontology development are based on the traditions of AI knowledge representation research. This research has led to popular formalisms such as KIF and KL-ONE style languages. However, these ...

The concept of an intelligent software agent has emerged from its origins in artificial intelligence laboratories to become an important basis for the development of distributed systems in the mainstream computer science ...

With the increasing size, complexity and interconnectedness of systems and organisations, there is a growing need for high level modelling approaches that span the range of application domains. Causal agent modelling offers ...