Negotiation criteria for multiagent resource allocation

被引:2
|
作者
Iyer, Karthik [1 ]
Huhns, Michael N. [1 ]
机构
[1] Univ S Carolina, Dept Comp Sci & Engn, Columbia, SC 29208 USA
来源
KNOWLEDGE ENGINEERING REVIEW | 2009年 / 24卷 / 02期
关键词
CAKE; CUT;
D O I
10.1017/S0269888909000204
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Negotiation in a multiagent system is a topic of active interest for enabling the allocation of scarce resources among autonomous agents. This paper presents a discussion of the research on negotiation criteria, which puts in context the contributions to resource allocation from the fields of economics, mathematics, and multiagent systems. We group the criteria based on how they relate to each other as well as their historical origin. In addition, we present three new criteria: verifiability, dimensionality, and topology. The criteria are organized into five categories. The allocation category contains criteria concerning fairness and envy-freeness with respect to how resources are allocated to agents. The protocol category covers criteria for stability, strategy-proofness, and communication costs. The procedure category includes criteria about the complexity of allocation procedures. The resource category has criteria for the properties that various resources can take and how they affect allocation. The paper concludes with a discussion of the criteria for agent utility functions. The overall objectives of this paper are (1) to create a starting point for protocol engineering by future negotiation designers and (2) to enumerate the criteria and their measures that enable negotiation and allocation mechanisms to be compared objectively.
引用
收藏
页码:111 / 135
页数:25
相关论文
共 50 条
  • [1] Multiagent negotiation for fair and unbiased resource allocation
    Iyer, K
    Huhns, M
    [J]. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2005: COOPIS, DOA, AND ODBASE, PT 1, PROCEEDINGS, 2005, 3760 : 453 - 465
  • [2] Simulation of Negotiation Policies in Distributed Multiagent Resource Allocation
    Buisman, Hylke
    Kruitbosch, Gijs
    Peek, Nadya
    Endriss, Ulle
    [J]. ENGINEERING SOCIETIES IN THE AGENTS WORLD VIII, 2008, 4995 : 224 - 239
  • [3] Multiagent resource allocation
    Chevaleyre, Y
    Dunne, PE
    Endriss, U
    Lang, J
    Maudet, N
    Rodríguez-Aguilar, JA
    [J]. KNOWLEDGE ENGINEERING REVIEW, 2005, 20 (02): : 143 - 149
  • [4] Issues in Multiagent Resource Allocation
    Chevaleyre, Yann
    Dunne, Paul E.
    Endriss, Ulle
    Lang, Jerome
    Lemaitre, Michel
    Maudet, Nicolas
    Padget, Julian
    Phelps, Steve
    Rodriguez-Aguilar, Juan A.
    Sousa, Paulo
    [J]. INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS, 2006, 30 (01): : 3 - 31
  • [5] Multiagent resource allocation in the presence of externalities
    Dunne, PE
    [J]. MULTI-AGENT SYSTEMS AND APPLICATIONS IV, PROCEEDINGS, 2005, 3690 : 408 - 417
  • [6] Multiagent resource allocation with sharable items
    Airiau, Stephane
    Endriss, Ulle
    [J]. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2014, 28 (06) : 956 - 985
  • [7] Multiagent resource allocation with sharable items
    Stéphane Airiau
    Ulle Endriss
    [J]. Autonomous Agents and Multi-Agent Systems, 2014, 28 : 956 - 985
  • [8] A Study of Multiagent Systems for Resource Allocation
    Liu, Haixiao
    Shao, Zhichao
    Li, Shanfei
    Tan, Xianglin
    [J]. ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS I, 2017, 1820
  • [9] Context dependence in multiagent resource allocation
    Dunne, PE
    [J]. ECAI 2004: 16TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2004, 110 : 1001 - 1002
  • [10] The Atkinson Inequality Index in Multiagent Resource Allocation
    Schneckenburger, Sebastian
    Dorn, Britta
    Endriss, Ulle
    [J]. AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 272 - 280