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Faculty of Law Administration at Baekseok University, Korea, Republic of

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2 Papers

Hovering Information: A Self-Organising Infrastructure-Free Information Storage and Retrieval Service

Authors: Alfredo A. Villalba Castro ¹ , Giovanna Di Marzo Serugendo ² and Dimitri Konstantas ¹

Affiliations: ¹ University of Geneva, Switzerland , ² Birkbeck College, University of London, United Kingdom

Digital Object Identifier: 10.5220/0004465500690087

Proceedings of I-WEST 2010, ISBN: 978-989-8425-44-7

Quick Abstract

This paper introduces the Spatial Memory concept which defines any geographical location as a memory where information can be stored and retrieval by user-applications. The Hovering Information Middleware is also introduced as a constrained implementation of the Spatial Memory concept. This middleware is based on results presented on previous works related with Hovering Information. Two main modules of the middleware are discussed and evaluated, the Storage and the Retrieval Modules. The evaluation is done by simulations using both random-way-point and real mobility patterns. Real mobility patterns are generated with the SLAW real mobility model. The simulations evaluate current storage and retrieval algorithms and outlines the major drawbacks and potential improvements for next milestones.

A Complexity Theory Approach to Evolvable Production Systems

Authors: José Barata ¹ , Regina Frei ¹ and Giovanna Di Marzo Serugendo ²

Affiliations: ¹ New University of Lisbon, Portugal , ² Birkbeck (University of London), United Kingdom

Digital Object Identifier: 10.5220/0001634800440053

Proceedings of MARS 2007/ICINCO, ISBN: 978-972-8865-86-6

Quick Abstract

Evolvable Production Systems differ from Reconfigurable and Holonic Manufacturing Systems by implying ontology-based process-specific modularity at fine granularity with local intelligence and a distributed control solution based on the Multi-Agent paradigm. Understanding the dynamics of such complex production systems is not feasible with traditional engineering. For creating the manufacturing systems of the future, engineers need to dare a leap in their ways of thinking. Complexity Theory and Artificial Intelligence can be a valuable source of inspiration for manufacturing engineers. This article illustrates how ideas from these scientific areas fit the problems and open questions of manufacturing. Some concepts, as Self-Organization and Emergence, need adaptation to be applicable in production systems; others simply require the right perspective. Finally, a vision of future EPS is outlined.