Michel, O., and Biondi, J., 1995, "From the chromosome to the neural network," Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA'95). Springer-Verlag, New York.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....W. 869] Bergman, Aviv, 619, 620, 621] Berk, Friedrich, 365] Bernier, J. L. 153] Bertoni, A. 319] Bessi ere, Pierre, 622] Bhandari, Dinabandhu, 130, 136] Biles, J. A. 433] Billing, G. 229] Billings, Steve A. 154] Bing, Zhang, 438] Binstead, M. J. 606] Biondi, Joelle, [200] Bishop, J. M. 775, 776] Blanchet, Max, 623] Blekas, K. 587] Bluff, K. 482, 624] Bo, Z. Q. 566] Boers, Egber J. W. 625] Boers, Egbert J. W. 155] Bogart, Christopher, 949, 953, 954] Bohari, Abdul Rahman, 434] Borges, Newton Chaves Kras, 156] Born, Joachim, 17, 102, 626, ....

....J. 417] Melsheimer, S. S. 55] Menczer, Filippo, 834, 835, 836] Mendoca, P. R. S. 480] Mendonca, P. R. S. 317] Meng, Qing chun, 277] Merelo, J. J. 153, 198, 293, 513, 865, 866] Meservy, R. D. 346] Meyer, Claudia M. 867, 868] Meyer, Jean Arcady, 772] Michel, Olivier, [200] Middleton, L. T. 837] Miglino, Orazio, 63, 296, 862] Mihaila, D. 298] Miikkulainen, Risto, 118, 838, 839] Mikami, Sadayoshi, 553, 574] Miller, Geoffrey F. 37, 711, 712, 713] Miller, G. 112] Miller, Graham, 533] Miller, K. R. 917] Mitchell, R. J. 775] Miyoshi, T. 373] ....

[Article contains additional citation context not shown here]

Olivier Michel and Joelle Biondi. From the chromosome to the neural network. In Pearson et al. [999], pages 80--83. ga95aMichel.

....[198, 202, 204, 237, 238, 287] Barnes, D. P. 88] Barrett, David, 437] Bartscht, E. 33] Beer, Randall D. 216] Bennett III, Forest H. 288] Bersano Begey, Tommaso F. 242] Bessi ere, Pierre, 160, 329, 416, 417, 418, 419, 420, 421, 422, 423, 424] Bikdash, M. 296] Biondi, Joelle, [146] Blume, Christian, 102, 370] Bonarini, Andrea, 330] Boone, G. 86] Both, Hans Heinrich, 434] Boudreau, R. 259] Bradshaw, A. 103] Braunstingl, R. 127, 164] Bressgott, W. 33] Brevart, V. 128] Brillowski, K. 260] Brooks, Rodney A. 331] Browne, David, 211] Bruce, Wilker Shane, ....

....J. 242] McDonnell, John R. 402, 403, 404, 405] McNutt, Greg, 305] Meeden, Lisa A. 270] Mehdi, Q. 62] Meng, Qing chun, 153] Mester, G. 135, 179] Meyer, Jean Arcady, 144] Meystel, A. 74] Michalewicz, Zbigniev, 313] Michalewicz, Zbigniew, 73, 108, 301, 406] Michel, Olivier, [146, 232, 306] Michel, O. 151] Miglino, G. 110] Miglino, Orazio, 83, 147] Mikami, Sadayoshi, 180, 392] Minagawa, Masaaki, 48, 49, 407] Ming, Lei, 233] Mitsumoto, Naoki, 148] Miyagawa, K. 191] Miyata, Yujiro, 215] M.McCrea, Anna, 309] Mohamed, Samir S. 412] Mohammadian, M. 12, 149] ....

[Article contains additional citation context not shown here]

Olivier Michel and Joelle Biondi. From the chromosome to the neural network. In Pearson et al. [453], pages 80--83. ga95aMichel.

....specification schemes in [7] in this approach, parameters for generating a NN ( 9] or a set of rules whose application would generate a connection array ( 10] or a NN ( 6] are coded into a genome. Other approaches include a message passing structure encoded into a variable length chromosome [8]. 3. Node addressing or weak specification schemes [7] genes that represent NN nodes refer by indirect or direct addressing to other parts of the genome that also codify nodes ( 4] 11] 4. Incremental Decremental, which are not purely GA approaches, but rather rely on heuristic rules to add ....

Michel, O.; Biondi, J., From the chromosome to the neural network, Artificial Neural Networks and Genetic Algorithms, D. W. Pearson, N. C. Steele, R. F. Albrecht (eds.), p. 80-83, Springer-Verlag, 1995.

....types of cells) where different substances are marks for the cell s state. Even neural networks were evolved, but to which no function could be assigned. In contrast to our approach, Kitano used no differential gene expression and in his system no forms of cell clusters evolved. Michel and Biondi [23] introduced a developmental model which uses morphogenetic mechanisms to evolve neural control structures for autonomous agents. As this model does not describe any mechanisms about cell differentiation, it is not clear how different cells can result. Sims [29] described a system for the evolution ....

Olivier Michel and Joelle Bondi. From the chromosome to the neural network. In Proceedings of the interantioal conference on artificial Neural Networks and Genetic Algorithms (ICANNA'95), 1995.

....the developmental process is described by a set of rules. A rule based system bears the danger that certain properties of the system are defined by the designer rather than being emergent form the developmental process. Cangelosi et al. 1994) presented a model of cell division and migration. (Michel and Biondi, 1995) introduced a biologically inspired model: They use morphogenetic mechanisms to evolve neural control structures for autonomous agents. As this model doesn t describe any mechanisms about cell differentiation it is not clear how different cells can result. In section three we describe the used ....

Michel, O. and J. Bondi (1995). From the chromosome to the neural network. In Proceedings of the interantioal conference on artificial Neural Networks and Genetic Algorithms (ICANNA'95).

....two different types of cells) where different substances are marks for the cell s state. Even neural networks were evolved, but to which no function could be assigned. In contrast to our approach, Kitano used no differential gene expression and evolved no forms of cell clusters. Michel and Biondi [22] introduced a developmental model which uses morphogenetic mechanisms to evolve neural control structures for autonomous agents. As this model does not describe any mechanisms about cell differentiation, it is not clear how different cells can result. Sims [29] described a system for the evolution ....

Olivier Michel and Joelle Bondi. From the chromosome to the neural network. In Proceedings of the interantioal conference on artificial Neural Networks and Genetic Algorithms (ICANNA'95), 1995.

....by a set of rules. Nolfi [16] proposed a developmental model for neural networks based on cell division and cell migration. The major flaw of this approach is that the number of the genes in the genome grows with the number of neurons which leads to a bad scaling behavior. Michel and Biondi [15] introduced a model for development which uses morphogenetic mechanisms to evolve neural control structures for autonomous agents. Dellaert and Beer [4, 3, 5] proposed a model based on Boolean networks to evolve autonomous agents with developmental processes. With the proposed method he was able ....

Olivier Michel and Joelle Bondi. From the chromosome to the neural network. In Proceedings of the interantioal conference on artificial Neural Networks and Genetic Algorithms (ICANNA'95), 1995.

....of solving a large class of problems ranging from simple phototaxis and obstacle avoidance behaviors to complex navigation tasks involving learning and landmarks categorization. 3 Early Results EVOTS model was first used to evolve successfully neural controllers able to drive an evot to find food [12]. Obstacles avoidance behavior were also obtained that could be successfully transfered to the real robot [11] Although the resulting controllers appear to be very simple (i.e. looking like Braitenberg s simplest vehicles [1] they constitute the basis for more evolved cognitive systems. The ....

Olivier Michel and Joelle Biondi. From the chromosome to the neural network. In D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA'95). Springer-Verlag Wien New York, 1995.

No context found.

Michel, O., and Biondi, J., 1995, "From the chromosome to the neural network," Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA'95). Springer-Verlag, New York.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC