Communication and cooperation in agent systems: a pragmatic theory
Communication and cooperation in agent systems: a pragmatic theory
Coordination techniques for distributed artificial intelligence
Foundations of distributed artificial intelligence
Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture
Autonomous Agents and Multi-Agent Systems
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
DAML-S: Web Service Description for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
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A generally portrayed mobile society vision is captured by the idea of Intelligent Personal mobile Lifestyle Assistants that takes on many forms, they help you find your way around the Internet, they might be mobile, they may be socially intelligent and may even communicate emotional responses when you interact with them using learning techniques to filter and match just what you want when you want it. This brings a promise of a better lifestyle supported through efficient and personalised electronic assistants, which brings just what you need when you need it. Imagine a time when people receive their intelligent Personal mobile lifestyle assistant. Perhaps there will be a legal age before you are able to officially use your electronic assistant. Just like learning to drive a car. Different countries will have different legislations about when, how, codes of practice, legal fines, storage costs etc. In order to support this interaction medium requires rich distributed service framework that supports many different aspects of knowledge content for personalization. Here we make an emphasis on lifestyle as the electronic society becomes part of many people's way of life for managing business, services and social opportunities.In this paper we focus on the developments and requirements to provide a core definition and support of service description in order to provide an intelligent middleware that is the backbone of enabling the mobile lifestyle we envision. We draw upon the various research activities that contribute to the development of rich service descriptions and the opportunity for aggregation of services in a dynamic environment that can support context-aware needs of m-lifestyle. We extend the current architectures used to enable a richer service description for a smarter lifestyle.