AGENT-BASED UBIQUITOUS COMPUTING

1. Front Matter

   Pages i-xiii

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2. Solving Conflicts in Agent-Based Ubiquitous Computing Systems: A Proposal Based on Argumentation

   • Andrés Muñoz Ortega, Juan A. Botía Blaya, Félix J. García Clemente, Gregorio Martínez Pérez, Antonio F. Gómez Skarmeta

   Pages 1-12

3. Mixed Reality Agent (MiRA) Chameleons

   • Mauro Dragone, Thomas Holz, G. M. P. O’Hare, Michael J. O’Grady

   Pages 13-33

4. A Generic Architecture for Human-Aware Ambient Computing

   • Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur

   Pages 35-61

5. e-Assistance Support by Intelligent Agents over MANETs

   • Eduardo Rodríguez, Juan C. Burguillo, Daniel A. Rodríguez

   Pages 63-83

6. The ActiveMetadata Framework

   • Christopher McCubbin, R. Scott Cost, John Cole, Nicholas Kratzmeier, Markus Dale, Daniel Bankman

   Pages 85-102

7. Coalition of Surveillance Agents. Cooperative Fusion Improvement in Surveillance Systems

   • Federico Castanedo, Miguel A. Patricio, Jesús García, José M. Molina

   Pages 103-115

8. Designing a Distributed Context-Aware Multi-Agent System

   • Virginia Fuentes, Nayat Sánchez-Pi, Javier Carbó, José M. Molina

   Pages 117-130

9. Agent-Based Context-Aware Service in a Smart Space

   • Wan-rong Jih, Jane Yung-jen Hsu

   Pages 131-146

10. An Agent Based Prototype for Optimizing Power Plant Operation

    • Christina Athanasopoulou, Vasilis Chatziathanasiou

    Pages 147-162

11. IUMELA: Intelligent Ubiquitous Modular Education Learning Assistant in Third Level Education

    • Elaine McGovern, Bernard Roche, Rem Collier, Eleni Mangina

    Pages 163-181

12. Back Matter

    Pages 183-196

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Ubiquitous computing names the third wave in computing, where the personal computing era appears when technologyrecedesinto the backgroundof our lives. The widespread use of new mobile technology implementing wireless communicationssuch as personal digital assistants (PDAs) and smart phones enables a new type of advanced applications. In the pastyears,themainfocusofresearchinmobileserviceshasaimedattheanytime-anywhere principle (ubiquitous computing). However, there is more to it. The increasing demand for distributed problem solving led to the development of multi-agent systems. The latter are formed from a collection of independent software entities whose collective skills can be applied in complex and real-time domains. The target of such systems is to demonstrate howgoaldirected,robustandoptimalbehaviorcanarise frominteractionsbetweenindiv- ual autonomous intelligent software agents. These software entities exhibit characteristics like autonomy, responsiveness, pro-activeness and social ability. Their functionality and effectiveness has proven to be highly depended on the design and development and the - plication domain. In fact, in several cases, the design and developmentof effective services shouldtakeintoaccountthecharacteristicsofthecontextfromwhichaserviceisrequested. Contextis the set of suitable environmentalstates and settings concerninga user, which are relevant for a situation sensitive application in the process of adapting the services and - formation offered to the user. Agent technology seems to be the right technology to offer the possibility of exploringthe dynamic context of the user in order to provideadded-value services or to execute more and complex tasks.

• agents
• argumentation
• artificial intelligence
• behavior
• intelligence
• learning
• mobile
• multi-agent system
• problem solving
• software agents
• ubiquitous computing

• School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland

  Eleni Mangina, Javier Carbo, José M. Molina

• Computer Science Department Applied Artificial Intelligence Group (GIAA), University Carlos III of Madrid, Colmenarejo, Spain

  Eleni Mangina, Javier Carbo, José M. Molina

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