Human Heuristics for Autonomous Agents

  • Franco Bagnoli
  • Andrea Guazzini
  • Pietro Liò
Conference paper

DOI: 10.1007/978-3-540-92191-2_30

Volume 5151 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Bagnoli F., Guazzini A., Liò P. (2008) Human Heuristics for Autonomous Agents. In: Liò P., Yoneki E., Crowcroft J., Verma D.C. (eds) Bio-Inspired Computing and Communication. Lecture Notes in Computer Science, vol 5151. Springer, Berlin, Heidelberg

Abstract

We investigate the problem of autonomous agents processing pieces of information that may be corrupted (tainted). Agents have the option of contacting a central database for a reliable check of the status of the message, but this procedure is costly and therefore should be used with parsimony. Agents have to evaluate the risk of being infected, and decide if and when communicating partners are affordable. Trustability is implemented as a personal (one-to-one) record of past contacts among agents, and as a mean-field monitoring of the level of message corruption. Moreover, this information is slowly forgotten in time, so that at the end everybody is checked against the database. We explore the behavior of a homogeneous system in the case of a fixed pool of spreaders of corrupted messages, and in the case of spontaneous appearance of corrupted messages.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Franco Bagnoli
    • 1
  • Andrea Guazzini
    • 1
  • Pietro Liò
    • 2
  1. 1.Department of EnergyUniversity of Florence, Also CSDC and INFN, sez. FirenzeFirenzeItaly
  2. 2.Computer LaboratoryUniversity of CambridgeCambridgeUK