Choosing a candidate using efficient allocation of biased information

Shulamit Reches, Meir Kalech

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This article deals with a decision-making problem concerning an agent who wants to choose a partner from multiple candidates for long-term collaboration. To choose the best partner, the agent can rely on prior information he knows about the candidates. However, to improve his decision, he can request additional information from information sources. Nonetheless, acquiring information from external information sources about candidates may be biased due to different personalities of the agent searching for a partner and the information source. In addition, information may be costly. Considering the bias and the cost of the information sources, the optimization problem addressed in this article is threefold: (1) determining the necessary amount of additional information, (2) selecting information sources from which to request the information, and (3) choosing the candidates on whom to request the additional information. We propose a heuristic to solve this optimization problem. The results of experiments on simulated and real-world domains demonstrate the efficiency of our algorithm.

Original languageEnglish
Article number66
JournalACM Transactions on Intelligent Systems and Technology
Volume5
Issue number4
DOIs
StatePublished - 1 Dec 2014

Keywords

  • Decision theory
  • Multiagent systems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Artificial Intelligence

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