Reasoning about norms under uncertainty in dynamic environments

N. Criado*, E. Argente, P. Noriega, V. Botti

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
135 Downloads (Pure)

Abstract

The behaviour of norm-autonomous agents is determined by their goals and the norms that are explicitly represented inside their minds. Thus, they require mechanisms for acquiring and accepting norms, determining when norms are relevant to their case, and making decisions about norm compliance. Up until now the existing proposals on norm-autonomous agents assume that agents interact within a deterministic environment that is certainly perceived. In practise, agents interact by means of sensors and actuators under uncertainty with non-deterministic and dynamic environments. Therefore, the existing proposals are unsuitable or, even, useless to be applied when agents have a physical presence in some real-world environment. In response to this problem we have developed the n-BDI architecture. In this paper, we propose a multi-context graded BDI architecture (called n-BDI) that models norm-autonomous agents able to deal with uncertainty in dynamic environments. The n-BDI architecture has been experimentally evaluated and the results are shown in this paper.

Original languageEnglish
Pages (from-to)2049-2070
Number of pages22
JournalINTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Volume55
Issue number9
Early online date14 Feb 2014
DOIs
Publication statusPublished - 1 Dec 2014

Keywords

  • BDI agents
  • Graded
  • Norms
  • Uncertainty

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