Computational Intelligence for Agent-based Systems

In these last years the digital technology explosion has spawned so many new lifestyle models that the boundaries between "real" and "digital" are fiercely debated. This scenario has deeply changed the viewpoint about computer applications: computers become smaller, cheapest and...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Lee, Raymond S. T. (Επιμελητής έκδοσης), Loia, Vincenzo (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Studies in Computational Intelligence, 72
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:In these last years the digital technology explosion has spawned so many new lifestyle models that the boundaries between "real" and "digital" are fiercely debated. This scenario has deeply changed the viewpoint about computer applications: computers become smaller, cheapest and hugely distributed in wired or unwired networks, applications become so flexible and intelligent as to tailor its communication facilities in order to increase the usability of the system. Such data-intensive, unstructured spaces featured by minimal or no centralized control flow, present a challenge for traditional methods of analysis, design and integration of advanced, distributed and intelligent computer systems. Within this challenge, an important role is played by two important research areas : Fuzzy Technology, thanks to its ability to exploit the tolerance for imprecision to achieve tractability and Agent Technology, thanks to its nature to employ agent-wise communities to carry out complex goals by means of smart interaction, cooperation, and pro-activeness. Computational Intelligence inside Agents is a novel and extremely helpful approach to support the designer of smart applications that treat unknown or ill-defined situations so to better handle knowledge representation and reasoning under these assumptions. We hope this volume represents a new step on intelligent system management roadmap.
Φυσική περιγραφή:XVII, 263 p. online resource.
ISBN:9783540731771
ISSN:1860-949X ;