Cangelosi, A., & Parisi, D. (1998). The emergence of a language in an evolving population of neural networks. Connection Science, 10(2), 83-97.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....showed that a sound system can emerge without genetic interaction or innate perceptual ability, through a process of self organisation. 4. 3 Lexicon Development The study of communication in artificial populations has led some researchers to include fixed lexicons as a part of their experiment[12, 13]. While this has provided a useful starting point, others argue that the use of a fixed lexicon is not representative of real world language development. Much research has been done focusing on a dynamic lexicon in a population of communicating organisms[8, 14, 15, 16, 17, 18] The population in ....

C. Angelo and D. Parisi. The emergence of a language in an evolving population of neural networks. Technical Report NSAL--96004, National Research Council, Rome, 1996.

....turbulence existed. Saunders and Pollack [12] utilized recurrent neural networks to realize virtual ants that evolved a communication scheme over continuous channels which conveyed task specific information when the virtual ants were learning to follow broken trails of food. Cangelosi and Parsi [2] realized a virtual environment where a simple language emerged in the inhabitant artificial neural networks when they were evolving the perceptual ability of categorizing edible and poisonous mushrooms in order to decide whether to approach or avoid encountered mushrooms. M611er et al. 9] ....

Cangelosi A. and Parisi D. "The emergence of a 'language' in an evolving population of neural networks." Connection Science. 1998, vol. 10, no.2, pp.83-97.

.... have mastered the system previously using evolutionary computation and reinforcement learning 1 Introduction In an artificial environment for learning there are those which suggest that genetic transmission between generations alone is capable of developing innate communication systems [1], 2] 3] 4] 5] 6] 7] Genetic mechanisms neglect the origin of language which would be the logical starting point from an A Life perspective. Others suggest that cultural transmission between generations alone is capable of developing and refining entirely learned communication systems ....

A.Cangelosi and D. Parisi. The emergence of language in an evolving population of neural networks. In Proceedings of the 18 th Conference of the Cognitive Science Society, San Diego, 1996

.... Berwick (1997) point out, our intuitions about the evolution of even simple dynamical systems are often wrong. Recently, many researchers have responded to this problem by taking a computational perspective (for example, Hurford 1989; Hurford 1991; MacLennan 1991; Batali 1994; Oliphant 1996; Cangelosi Parisi 1996; Steels 1996; Kirby Hurford 1997; Briscoe 1997; Briscoe this volume, Batali this volume, Hurford this volume) 2 This paper follows on from this line of work, and also borrows from language learning algorithms developed in computational linguistics (namely, Stolcke 1994) in order to see if a ....

CANGELOSI, ANGELO, & DOMENICO PARISI. 1996. The emergence of a language in an evolving population of neural networks. Technical Report NSAL--96004, National Research Council, Rome.

....between agents. Similar approaches are currently under study in social sciences [7] 8] The multi agent paradigm seems well adapted to the study of these phenomena (see discussion in [6] Interesting results have already been obtained for different areas of language: simple communication codes [2] [13] 15] 22] coordination [4] 5] meaning and class formation [16] conventional lexicons [10] 17] 20] phonetics [3] and syntax [1] 9] 18] An overview of this approach is given in [19] This paper focuses on the links between class formation and lexicon building. This topic is a ....

A. Cangelosi and D. Parisi. The emergence of language in an evolving population of neural networks. In Proceedings of the 18th Conference of the Cognitive Science Society, San Diego, 1996.

.... approaches (Warneryd, 1993; Blume, Kim, and Sobel, 1993; Kim and Sobel, 1995; Skyrms, 1996) and an increasingly large literature of computational modeling work (Werner and Dyer, 1991; Oliphant, 1993; Oliphant, 1996; MacLennan and Burghardt, 1994; Ackley and Littman, 1994; Levin, 1995; Cangelosi and Parisi, 1996; Bullock, 1997; Werner and Todd, 1997; de Bourcier and Wheeler, 1997; Di Paolo, 1997; Noble, 1998) have given us a good understanding of how such innate mappings can be tuned by selection. If the system is to be learned, rather than being directly specified genetically, the learning mechanism ....

Cangelosi, A. and D. Parisi (1996, January). The emergence of a 'language' in an evolving population of neural networks. Technical Report NSAL-96-004, Institute of Psychology, National Research Council, Rome.

.... Berwick (1997) point out, our intuitions about the evolution of even simple dynamical systems are often wrong. Recently, many researchers have responded to this problem by taking a computational perspective (for example, Hurford 1989; Hurford 1991; MacLennan 1991; Batali 1994; Oliphant 1996; Cangelosi Parisi 1996; Steels 1996; Kirby Hurford 1997; Briscoe 1997; Briscoe this volume, Batali this volume, Hurford this volume) This paper follows on from this line of work, and also borrows from language learning algorithms developed in computational linguistics (namely, Stolcke 1994) in order to see if a ....

CANGELOSI, ANGELO, & DOMENICO PARISI. 1996. The emergence of a language in an evolving population of neural networks. Technical Report NSAL--96004, National Research Council, Rome.

....techniques to study the evolution of correspondences between agent s internal states and externally observable behaviors. A number of researchers have used a grid like environment scattered with food particles to study how communication might evolve to facilitate coordinated foraging behavior. Cangelosi and Parisi (1996) use such a model to evolve networks to classify edible inedible food and pass this information on to others via a communication system. Di Paolo (1996) presents a similar simulation framework. While the evolutionary simulations that will be discussed in the next sections share much in common with ....

....that were exploited were the result of random drift, and hence not very reliable. Exploitation is much more effective in cases where the regularities occur as a result of an observable manifestation of some relevant internal state of another individual. A striking example of this can be seen in Cangelosi and Parisi (1996). This paper looks at a particular set of conditions 64 under which they claim that a system of communication emerges in a population of neural networks. The fitness relevant task used in the simulations they present is the ability to discriminate food items based on their edibility. Some food ....

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Cangelosi, A. and D. Parisi (1996, January). The emergence of a 'language' in an evolving population of neural networks. Technical Report NSAL-96-004, Institute of Psychology, National Research Council, Rome.

....about the evolution of even simple dynamical systems are often wrong. Recently many researchers have responded to these problems in tackling the origins of human language by taking a computational perspective (for example, Hurford 1989; Hurford 1991; MacLennan 1991; Batali 1994; Oliphant 1996; Cangelosi Parisi 1996; Steels 1996; Kirby Hurford 1997; Briscoe 1997) This paper follows on from this line of work, and also borrows from language learning algorithms developed in computational linguistics (namely, Stolcke 1994) in order to see if a significant portion of the evolution of syntax can proceed without ....

CANGELOSI, ANGELO, & DOMENICO PARISI. 1996. The emergence of a language in an evolving population of neural networks. Technical Report NSAL--96004, National Research Council, Rome.

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Cangelosi, A., & Parisi, D. (1998). The emergence of a language in an evolving population of neural networks. Connection Science, 10(2), 83-97.

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