Reynolds, C. (1994). Competition, coevolution, and the game of tag. In Proceedings 4th Artificial Life Conference. MIT Press.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....to the VRML Script class that provides the communication between VRML and Java programs. 3.6 Selection algorithms One major issue in the design of genetic algorithms is selection: how the algorithm chooses which entities are best suited to continue breeding to develop toward some desired end. [5, 8, 9] In our current embodiment, we do not implement selection algorithms. Unlike most systems using genetic algorithms, we are making use of the behavior of the phenotypes (individuals) rather than the genotypes. Sound is produced by the presence of the individual itself, rather than by selecting ....

Reynolds, Craig. Competition, Coevolution, and the game of Tag. In the proceedings of Artificial Life IV, R. Brooks and P. Maes, editors, MIT Press, Cambridge, MA, pp. 56-69. 1994.

....of coevolutionary simulations in the context of the pursuer evasion model is also a difficult task. In their work, several tools were developed to track progress and detect loss of traits resulting from the Red Queen effect. Sims block creatures [99] and Reynolds experiments with the game of tag [86] are also two successful applications of competitive evolution. In all those works, the emergence of complex behaviors was observed. However, specific selection and evaluation strategies were chosen in order to maintain a variety of different strategies in the population and to allow significant ....

Craig W. Reynolds. Competition, coevolution, and the game of tag. In Brooks and Maes, editors, Artificial Life IV. MIT Press, 1994.

.... SAB94 we argued that it s important, interesting, and useful to simulate the co evolution of pursuit and evasion strategies, and presented some preliminary results [10] In that paper we presented a review of the relevant literature (e.g. 7] since then, other comparable work has appeared (e.g. [13, 14]) In the intervening two years of project development, we have improved our methods and generated more detailed and more complete results. This paper gives an overview of our current methods and some results from this ongoing research. We include only the briefest recap of the intellectual ....

.... techniques are already being used to develop sensory motor controllers and morphologies for virtual software agents whose behavior makes them fun to watch or interact with, or makes them easy to choreograph in producing movie sequences involving groups of complex interacting agents (e.g. [13, 14]) To indicate the possibilities, we have produced 3D movie sequences of the trajectories shown in Figures 2, 4, 6, and 8. The movies were made by taking the trajectory data shown earlier and using this to move two virtual 3D agents around a 2D plane: the animats are given 3D bodies and eyes , ....

C. Reynolds. Competition, coevolution, and the game of tag. In R. Brooks and P. Maes, editors, Artificial Life IV, pp. 59-- 69. MIT Press 1994.

....complexity of our simulations violates many of the simplifying assumptions on which theoretical studies of evolution, co evolution, and population dynamics, are founded. Furthermore, although other artificial life research has employed co evolution to develop autonomous agent architectures (e.g. [18, 15]) such work has concentrated mainly on the end results, rather than on the dynamics of the co evolutionary process. Co evolving pursuit and evasion strategies may appear related to the longestablished literature on theoretical modeling of predator prey population dynamics. Yet al.l such work with ....

C. Reynolds. Competition, coevolution, and the game of tag. In R. Brooks and P. Maes, editors, Artificial Life IV, pages 59--69. M.I.T. Press Bradford Books, 1994.

.... Blair and Land [Pollack et al. 1996] by Sims and Ray in evolving life forms [Sims, 1994, Ray, 1992] by Angeline and Pollack on co evolving Tic tac toe players [Angeline Pollack, 1993] In the adaptive behavior community, there is a focus developing on co evolution in predator prey games [Reynolds, 1994, Miller Cliff, 1994] Using competitive fitness in a massively parallel implementation of the genetic programming (GP) paradigm [Koza, 1992] we solved the problem of intertwined spirals, a very difficult classification benchmark from the field of neural networks. This learning problem, ....

Reynolds, C. W. (1994). Competition, coevolution, and the game of tag. In Proceedings of the Fourth Artificial Life Conference. MIT Press.

....models, it is completely unexpected for a 1 1 hillclimbing evolution. Co evolution was explored by Hillis (Hillis, 1992) on the sorting problem, by Angeline Pollack (Angeline and Pollack, 1994) on genetically programmed tic tac toe players, on predator prey games, e.g. Cliff and Miller, 1995, Reynolds, 1994), and by Juille Pollack on the intertwined spirals problem (Juille and Pollack, 1995) Rosin Belew applied competitive fitness to several games (Rosin and Belew, 1995) However, besides Tesauro s TD Gammon, which has not to date been viewed as an instance of co evolutionary learning, Sims ....

Reynolds, C. (1994). Competition, coevolution, and the game of tag. In Proceedings 4th Artificial Life Conference. MIT Press.

....zero sum competition in a simulated environment [88] Both controllers and structure of these robots were evolved, and a variety of complex successful strategies emerged. Several researchers have had success applying competitive coevolution to versions of the pursuer evader differential game [23, 78]. Recently, a very simple form of coevolution has been successfully applied to backgammon [75] Sebald and Schlenzig discuss a different approach to adversarial problems, and its application to controller design [86] This method uses a nested evolutionary programming procedure. The outer loop ....

Craig W. Reynolds. Competition, coevolution, and the game of tag. In Rodney A. Brooks and Pattie Maes, editors, Artificial Life IV. MIT Press, 1994. Used competitive co-evolution successfully to evolve strategies for the game of tag, treated as a differential game on a plane.

....unexpected for a 1 1 hillclimbing evolution. Co evolution has been explored on the sorting network problem (Hillis, 1992) on tic tac toe and other strategy games (Angeline and Pollack, 1994, Rosin and Belew, 1995, Schraudolph et al. 1994) on predator prey games (Cliff and Miller, 1995, Reynolds, 1994) and on classification problems such as the intertwined spirals problem (Juille and Pollack, 1995) However, besides Tesauro s TD Gammon, which has not to date been viewed as an instance of co evolutionary learning, Sims artificial robot game (Sims, 1994) is the only other domain as complex as ....

Reynolds, C. (1994). Competition, coevolution, and the game of tag. In Proceedings 4th Artificial Life Conference.

....unexpected for a 1 1 hillclimbing evolution. Co evolution has been explored on the sorting network problem (Hillis, 1992) on tic tac toe and other strategy games (Angeline and Pollack, 1994, Rosin and Belew, 1995, Schraudolph et al. 1994) on predator prey games (Cliff and Miller, 1995, Reynolds, 1994) and on classification problems such as the intertwined spirals problem (Juille and Pollack, 1995) However, besides Tesauro s TD Gammon, which has not to date been viewed as an instance of co evolutionary learning, Sims artificial robot game (Sims, 1994) is the only other domain as complex as ....

Reynolds, C. (1994). Competition, coevolution, and the game of tag. In Proceedings 4th Artificial Life Conference.

.... and one based on relative fitness (with respect to the rest of the population) This was explored by Hillis (Hillis, 1992) on the sorting problem, by Angeline Pollack (Angeline and Pollack, 1994) on genetically programmed Tic Tac Toe players, on predator prey games, e.g. Cliff and Miller, 1995, Reynolds, 1994), and by Juille Pollack on the intertwined spirals problem (Juille and Pollack, 1995) Rosin Belew applied competitive fitness to several games (Rosin and Belew, 1995) However, besides Tesauro s TDGammon, which has not to date been viewed as an instance of co evolutionary learning, Sims ....

Reynolds, C. (1994). Competition, coevolution, and the game of tag. In Proceedings 4th Artificial Life Conference.

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Reynolds, C. (1994). Competition, coevolution, and the game of tag. In Proceedings 4th Artificial Life Conference. MIT Press.

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Reynolds, C. (1994a), Competition, Coevolution, and the Game of Tag, in R. Brooks & P. Maes, eds, `Artificial Life IV', MIT Press, pp. 59--69.

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