Luc Steels, Frederic Kaplan - 1999 - Collective learning and semiotic dynamics

Steels, L. and Kaplan, F. (1999) Collective learning and semiotic dynamics. In Floreano, D. and Nicoud, J-D and Mondada, F., editors, ECAL99, pages 679--688. Springer-Verlag.

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Paper at a Glance

Collective learning and semiotic dynamics
Luc Steels 1,2 and Frederic Kaplan 2
1 VUB AI Laboratory, Pleinlaan 2, 1050 Brussels,
2 SONY Computer Science Laboratory, 6 Rue Amyot, Paris
steels@arti.vub.ac.be, kaplan@csl.sony.fr
Abstract. We report on a case study in the emergence of a lexicon in a group of autonomous distributed agents situated and grounded in an open environment. Because the agents are autonomous, grounded, and situated, the possible words and possible meanings are not fixed but continuously change as the agents autonomously evolve their communi cation system and adapt it to novel situations. The case study shows that a complex semiotic dynamics unfolds and that generalisations present in the language are due to processes outside the agent.
1 Introduction In recent years it has become clear that the complex adaptive systems approach pioneered by Artificial Life research can fruitfully be applied to the study of the origins and evolution of language [9], particularly to the emergence of shared sound systems [3], the selforganisation of lexicons [7], [11], grounded word mean ing [12], and the origins of grammar [4], [1], [5]. In all this research, the same mechanisms for the generation and maintenance of complexity are being used as exploited in other Artificial Life research, and a similar complex dynamics can be seen to emerge. This paper focuses on grounded lexicons as they emerge from the local in teractions of a group of distributed autonomous robotic agents, grounded in a real world physical environment through visual sensing. Consequently, and in contrast with other work so far, the meanings of words are no longer given as symbols supplied by a designer, nor is it assumed that hearers have perfect knowledge of what meaning is intended by a speaker. Rather the agents must autonomously infer the possible meanings of unknown words from their visual interpretation of the situations they encounter. Agents never get immediate feed back on whether ...

BibTex

@inproceedings{steels99collectiveLearning,
  author={L. Steels and F. Kaplan},
  title={Collective learning and semiotic dynamics},
  year={1999},
  pages={679-688},
  editor={Floreano, D. and Nicoud, J-D and Mondada, F.},
  publisher={Springer-Verlag},
  booktitle={ECAL99},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/steels99collectiveLearning.html},
  keywords={semantics, grounding, evolutionary linguistics,Talking Heads, semiotics}
}

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