Adaptive computing for agents and dynamic collaborative environments

Federico Bergenti, Giacomo Cabri, M. Brian Blake, Usman Wajid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The "Adaptive Computing (and Agents) for Enhanced Collaboration" (ACEC) track currently enjoys its 11th year. ACEC focuses on the dynamic collaboration that occurs between networked systems as realized by agent-based or adaptive solutions or services. The purpose of this track is to bring together research in the fields of software agents and daptive computing, more broadly, as they relate to the challenges associated with efficient, effective collaboration. This report briefly discusses the content of the papers presented in the track by respective authors and collective knowledge derived from the underlying state-of-the-art.

Original languageEnglish (US)
Title of host publicationProceedings - 22nd IEEE International WETICE Conference, WETICE 2013
Pages1-2
Number of pages2
DOIs
StatePublished - Sep 11 2013
Event2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013 - Hammamet, Tunisia
Duration: Jun 17 2013Jun 20 2013

Publication series

NameProceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE
ISSN (Print)1524-4547

Other

Other2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013
CountryTunisia
CityHammamet
Period6/17/136/20/13

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Keywords

  • agent-based
  • computing
  • enterprise collaboration
  • service-oriented

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

Cite this

Bergenti, F., Cabri, G., Blake, M. B., & Wajid, U. (2013). Adaptive computing for agents and dynamic collaborative environments. In Proceedings - 22nd IEEE International WETICE Conference, WETICE 2013 (pp. 1-2). [6570573] (Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE). https://doi.org/10.1109/WETICE.2013.83