资源论文Talking about Trust in Heterogeneous Multi-Agent Systems

Talking about Trust in Heterogeneous Multi-Agent Systems

2019-11-12 | |  107 |   45 |   0

Abstract

In heterogeneous multi-agent systems trust is neces-sary to improve interactions by enabling agents to choose good partners. Most trust models work by tak-ing, in addition to direct experiences, other agents’communicated evaluations into account. However, in an open MAS other agents may use different trust models and the evaluations they communicate are based on different principles: as such they are mean-ingless without some form of alignment. My doctoral research gives a formal definition of this problem and proposes two methods of achieving an alignment.


上一篇:Graph Pruning and Symmetry Breaking on Grid Maps

下一篇:An Analysis of Multiobjective Search Algorithms and Heuristics

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...