Fuzzifying the thoughts of animats

  • Authors:

  • Iztok Lebar Bajec;Nikolaj Zimic;Miha Mraz

  • Affiliations:

  • Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

  • Venue:
  • IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
  • Year:
  • 2003

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Abstract

In this article we present a fuzzy logic based method for the construction of thoughts of artificial animals (animats). Due to the substantial increase of the processing power of personal computers in the last decade there was a notable progress in the field of animat construction and simulation. Regardless of the achieved results, the coding of the animat's behaviour is very inaccurate and can, to someone not familiar with common physics variables like speed, acceleration, banking, etc., seem like pure black magic. Our leading hypothesis is, that by using linguistic programming based on common sense, unclear and even partially contradictory knowledge of dynamics, we can achieve comparable, if not better, simulation results. We begin the article with the basics of animats, continue with their fuzzyfication and end with the presentation and comparison of simulation results.