Steels, L. (1995). A self-organizing spatial vocabulary. Artificial Life, 2(3):319--332.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....latter model is unsophisticated. Of course there are also many studies of self organization with no reference to physical simulation in the sense that it is modelled in SOCA, rather a physics (although it may not be called such) is modelled according to the researcher s particular needs. Steels [29] investigates the development of language as if it were a self organizing system. Banzhaf uses binary strings to explore auto catalysis and metabolic formation [1] Saitou and Jakiela [24,25] have examined the process of sub assembly (that is, the ordering of assembly processes within larger scale ....

Steels L., "A Self-Organizing Spatial Vocabulary", Artificial Life, Langton (ed), Vol2, No3, MIT Press, 1995, pp319-332

....are optimized but not how they have become optimized. The work described in this paper is based on the theory that self organization in a population of language users drives sound systems towards optimality. It is based on the theories of Luc Steels of language as a complex dynamic system [17, 18, 19] and is also related to other work on the origins and the evolution of language [7, 9] In the theories of Luc Steels language is considered as much to be a phenomenon of a population as it is knowledge of individuals. This approach does not consider language in terms of abstract ideal knowledge ....

Steels, Luc (1995) A Self-Organizing Spatial Vocabulary, Artificial Life 2(3), pp. 319-- 332.

....that the optimisation is an emergent phenomenon, caused by the fact that all language users have to learn the sound system under sub optimal conditions. More optimal sound systems will thus have the advantage. This idea fits in with the theories of Luc Steels concerning the origins of language. Steels (Steels, 1995, 1997) says that human language is the result of a self organising process of cultural evolution. The workings of this process are quite comparable to those of biological, genetic evolution. Both can increase complexity and create innovation. For this to happen variation and selection are needed. ....

....expressions, by erosion of already existing ones, or by imperfect imitation (Hopper 3 Traugott 1993, McMahon, 1994, Steels 1997) Selection in biology is determined by the successfulness in creating offspring; in language it is determined by communicative success. With communicative success Steels (1995) means the success of achieving your communicative goals (in Steels case indicating spatially located objects, in our case imitating the sound of the other speaker) with minimum effort. We can illustrate how this would work in natural language with an example from the history of English. At a ....

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Steels, L. (1995). A Self-Organizing Spatial Vocabulary. Artificial Life, 2(3), 319--332.

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L. Steels, "A Self-organizing Spatial Vocabulary," Artificial Life Journal, 2(3) (1996).

....represents an important milestone, there are obviously many things which can and should be done next, and some of this work is already going on in our laboratory. First, we are working on experiments in which spatial categories emerge. Software simulations have already shown that this is possible [10]. Second, we are doing experiments in which vision is the primary source of sensory experiences. To this purpose, our robots are being equiped with a camera. The sensory channels then consist of the results of low level visual routines. The use of vision allows for a much broader repertoire of ....

Steels, L. (1996c) A self-organizing spatial vocabulary. Artificial Life Journal, (2).

.... more complexity in living systems, beginning with the origin of life itself, 5] and of artificial life experiments seeking to synthesise a spontaneous increase in complexity [4] Of particular interest here are related experiments on the origin of communication [6] the origin of vocabulary [15] [12], and the growth in complexity of syntax [3] There is also a secondary motivation. Understanding the mechanisms by which a language self organises, may make a bottom up approach to artificial intelligence possible [10] Although much progress has been made recently on the synthesis and ....

Steels, L. (1996b) A self-organizing spatial vocabulary. Artificial Life Journal, 3, 1996.

....some features and deducing other features from them. Success in a game equals predictive success and failure leads to the construction of more refined features or the revision of prediction rules. 2.2 Lexicons through language games We now turn to the lexicon. As discussed in other papers [29], 30] evolutionary language games can be defined that lead to the formation of a lexicon. In each game, there is a speaker and a hearer and a set of objects making up a context. The speaker identifies one object (the topic) for example by pointing. Both then find a feature set discriminating the ....

....more distinctions are needed. It also puts pressure on the lexicon to lexicalise the meanings that need to be communicated. Thus the more meanings are used in language games the bigger the lexicon will have to be. In the experiments conducted so far, multiple word sentences start to emerge [29] because as feature sets become more elaborate more than one word is needed to code a given feature set into words. Syntax becomes a natural need when greater and greater pressure is exerted to express more and more sophisticated meaning within as few elements as possible. The possible origins of ....

Steels, L. (1996b) A self-organizing spatial vocabulary. Artificial Life Journal, 2(4), 1996.

....we feel that this experiment represents an important milestone, there are obviously many things which can and should be done next, and some of this work is already going on in our laboratory. First, we have done other software simumations showing how spatial categories may become lexicalised [11]. These experiments are currently being ported to physical robots. Second, we are doing experiments in which vision is the primary source of sensory experiences. One of these experiments is based on two robotic heads that are located near the robotic ecosystem and give comments on the dynamically ....

Steels, L. (1996c) A self-organizing spatial vocabulary. Artificial Life Journal, 3(2).

....less probable a change. This results in a feedback process. When more agents use the same word for the same meaning, communicative success increases and therefore the word meaning association becomes more stable. It has been shown that coherence indeed emerges [18] In one experiment (reported in [19]) agents developed spontaneously and autonomously a vocabulary to talk about themselves and identify spatial relations among themselves. Here is an example dialog where the object is introduced by a 25 using a spatial description (straight in front of me) expressed as b u v a j a and confirmed ....

STEELS, L.: A self-organizing spatial vocabulary. Artificial Life Journal. Vol 3. 1996b.

....a system that gives rise to adaptive lexicons in a group of distributed agents. The system is discussed here in an abstract fashion, but it has been coupled with meaning creation processes [12] implemented on physical robots, and tested in applications such as spatial vocabulary formation [11]. A more detailed description of the lexicon formation process is found in [10] Other researchers have been exploring the emergent language hypothesis as well. For example, McLennan [7] and Werner and Dyer [14] have conducted experiments in the origins of communication from an alife ....

Steels, L. (1996b) A self-organizing spatial vocabulary. Artificial Life Journal, 3(2).

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Steels, L. (1995). A self-organizing spatial vocabulary. Artificial Life, 2(3):319--332.

No context found.

Steels, L. (1995). A self-organizing spatial vocabulary. Artificial Life Journal, 2(3):319--332.

No context found.

Luc Steels. A self-organizing spatial vocabulary. Arti cial Life, 2:315-332, 1995.

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Steels, Luc, (1996b) "A self-organizing spatial vocabulary" Artificial Life Journal 2(3).

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