Information and representation in autonomous agents

  • Authors:
  • Mark H. Bickhard

  • Affiliations:
  • Cognitive Science, 17 Memorial Drive East, Lehigh University, Bethlehem, PA 18015, USA

  • Venue:
  • Cognitive Systems Research
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

Information and representation are thought to be intimately related. Representation, in fact, is commonly considered to be a special kind of information. It must be a special kind, because otherwise all of the myriad instances of informational relationships in the universe would be representational - some restrictions must be placed on informational relationships in order to refine the vast set into those that are truly representational. I will argue that information in this general sense is important to genuine agents, but that it is a blind alley with regard to the attempt to understand representation. On the other hand, I will also argue that a different, quite non-standard, form of information is central to genuine representation. First, I turn to some of the reasons why information as usually considered is the wrong category for understanding representation; second, to an alternative model of representation - one that is naturally emergent in autonomous agents, and that does involve information, but not in standard form; and third, I return to standard notions of informational relationships and show what they are in fact useful for.