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Content Provider | IEEE Xplore Digital Library |
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Author | Acampora, G. Loia, V. |
Copyright Year | 2009 |
Description | Author affiliation: Department of Mathematics and Computer Science, University of Salerno, Fisciano, Salerno, 84084 Italy (Acampora, G.; Loia, V.) |
Abstract | Ambient Intelligence (AmI) is born as a computer paradigm that deals with a new world where computing devices are spread everywhere in order to make wider the interaction between human beings and information technology and put together a dynamic computational-ecosystem capable of satisfying the users requirements. However, the AmI systems are more than a simple integration among computer technologies, indeed, their design can strongly depend upon psychology and social sciences aspects able to describe and analyze the human being status during the system's decision making. Consequently, from a computational point of view, an AmI system can be considered as a distributed cognitive framework composed by a collection of intelligent entities capable of modifying their behaviours by taking into account the user's cognitive status in a given time. This paper introduces a novel methodology of AmI systems' design that exploits multi-agent paradigm and a novel extension of Fuzzy Cognitive Maps theory benefiting on the theory of Timed Automata in order to create a collection of dynamical intelligent agents that use cognitive computing to define actions' patterns able to maximize environmental parameters as, for instance, user's comfort or energy saving. |
Starting Page | 770 |
Ending Page | 777 |
File Size | 690955 |
Page Count | 8 |
File Format | |
ISBN | 9781424435968 |
ISSN | 10987584 |
DOI | 10.1109/FUZZY.2009.5277303 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-08-20 |
Publisher Place | South Korea |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Multiagent systems Ambient intelligence Pervasive computing Humans Information technology Psychology Decision making Distributed computing Computational intelligence Fuzzy cognitive maps Systems Dynamic Fuzzy Cognitive Maps Ambient Intelligence Multi-Agent Systems |
Content Type | Text |
Resource Type | Article |
Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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