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Multi-agent systems research into the 21st century

  • Mark D'Inverno*
  • , M. Luck
  • , C. Boutilier
  • , C. Sierra
  • , S. Chong
  • , K. Liu
  • , A. Bazzan
  • , R. Bordini
  • , G. Andrioti
  • , R. Vicari
  • , J. Wahle
  • , M. Beer
  • , I. Anderson
  • , W. Huang
  • , M. Fisher
  • , C. Ghidini
  • , M. Schut
  • , M. Wooldridge
  • , S. Fatima
  • , C. Dixon
  • A. Bolotov, W. De Vries, W. Van der Hoek, J. J. Meyer, F. De Boer, T. Norman, C. Reed, C. Preist, C. Bartolini, I. Phillips, S. Poslad, P. Buckle, R. Hadingham, J. Bigham, L. Tokarchuk, L. Cuthbert, R. Ashri, M. Luck, A. Lomuscio, K. Clark, P. Robinson, J. Doran, O. Rana, L. Moreau, U. Hustadt, C. Dixon, R. Schmidt, J. J. Meyer, W. Van der Hoek
*Corresponding author for this work
  • Cavendish School of Computer Science
  • University of Westminster
  • Department of Electronics
  • University of Southampton
  • UKMAS 2001 Contriubutor

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The proceedings of the third UK Workshop on Multi-Agent systems (UKMAS 2001) held at St Catherine's College, Oxford were discussed. A method for solving sequential multi-agent decision problems by allowing agents to reason explicitly about specific coordination mechanisms was proposed. An adaptive organizational policy known as task and resource allocation in computational economy (TRACE), incorporating task and resource allocation for multi-agent systems that operate under time constraints and load variations was also proposed. An object-oriented extension of the multi-threaded Qu-Prolog language developed at Imperial College was also presented.

Original languageEnglish
Pages (from-to)271-275
Number of pages5
JournalKnowledge Engineering Review
Volume16
Issue number3
DOIs
Publication statusPublished - Jun 2001

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