Prediction market-based information aggregation for multi-sensor information processing

Janyl Jumadinova, Prithviraj Dasgupta

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

2 Scopus citations

Abstract

Prediction markets have been shown to be a useful tool in forecasting the outcome of future events by aggregating public opinion about the event’s outcome. We consider an analogous problem of information fusion from multiple sensors of different types with the objective of improving the confidence of inference tasks, such as object classification. We develop a multi-agent prediction market-based technique to solve this information fusion problem. To monitor the improvement in the confidence of the object classification as well as to dis-incentivize agents from misreporting information, we have introduced a market maker that rewards the agents based on the quality of the submitted reports. We have implemented the market maker’s reward calculation in the form of a scoring rule and have shown analytically that it incentivizes truthful revelation by each agent. We have experimentally verified our technique for multi-sensor information fusion for an automated landmine detection scenario. Our experimental results show that, for identical data distributions and settings, using our information aggregation technique increases the accuracy of object classification favorably as compared to two other commonly used techniques for information fusion for landmine detection.

Original languageEnglish (US)
Title of host publicationAgent-Mediated Electronic Commerce
Subtitle of host publicationDesigning Trading Strategies and Mechanisms for Electronic Markets - AMEC and TADA 2012, Revised Selected Papers
EditorsEsther David, Valentin Robu, Sebastian Stein, Christopher Kiekintveld, Onn Shehory
PublisherSpringer Verlag
Pages75-89
Number of pages15
ISBN (Print)9783642408632
DOIs
StatePublished - 2013
EventInternational Workshop on Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, AMEC/TADA 2012 - Valencia, Spain
Duration: Jun 4 2012Jun 4 2012

Publication series

NameLecture Notes in Business Information Processing
Volume136
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Other

OtherInternational Workshop on Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, AMEC/TADA 2012
CountrySpain
CityValencia
Period6/4/126/4/12

Keywords

  • Information fusion
  • Landmine detection
  • Multi-sensor aggregation
  • Prediction market

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management

Fingerprint Dive into the research topics of 'Prediction market-based information aggregation for multi-sensor information processing'. Together they form a unique fingerprint.

  • Cite this

    Jumadinova, J., & Dasgupta, P. (2013). Prediction market-based information aggregation for multi-sensor information processing. In E. David, V. Robu, S. Stein, C. Kiekintveld, & O. Shehory (Eds.), Agent-Mediated Electronic Commerce: Designing Trading Strategies and Mechanisms for Electronic Markets - AMEC and TADA 2012, Revised Selected Papers (pp. 75-89). (Lecture Notes in Business Information Processing; Vol. 136). Springer Verlag. https://doi.org/10.1007/978-3-642-40864-9_6