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008 120301s2010 fr | s |||| 0|eng d
020 _a9789491216312
_9978-94-91216-31-2
040 _cMX-MeUAM
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
082 0 4 _a006.3
_223
100 1 _aMangina, Eleni.
_eauthor.
245 1 0 _aAgent-Based Ubiquitous Computing
_h[recurso electrónico] /
_cby Eleni Mangina, Javier Carbo, José M. Molina.
264 1 _aParis :
_bAtlantis Press,
_c2010.
300 _aXIII, 196p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAtlantis Ambient and Pervasive Intelligence,
_x1875-7669 ;
_v1
505 0 _aSolving Conflicts in Agent-Based Ubiquitous Computing Systems: A Proposal Based on Argumentation -- Mixed Reality Agent (MiRA) Chameleons -- A Generic Architecture for Human-Aware Ambient Computing -- e-Assistance Support by Intelligent Agents over MANETs -- The ActiveMetadata Framework -- Coalition of Surveillance Agents. Cooperative Fusion Improvement in Surveillance Systems -- Designing a Distributed Context-Aware Multi-Agent System -- Agent-Based Context-Aware Service in a Smart Space -- An Agent Based Prototype for Optimizing Power Plant Operation -- IUMELA: Intelligent Ubiquitous Modular Education Learning Assistant in Third Level Education.
520 _aUbiquitous 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.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aCarbo, Javier.
_eauthor.
700 1 _aMolina, José M.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
830 0 _aAtlantis Ambient and Pervasive Intelligence,
_x1875-7669 ;
_v1
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.2991/978-94-91216-31-2
596 _a19
942 _cLIBRO_ELEC
999 _c206651
_d206651