Noble, J., & Cliff, D. (1996). On simulating the evolution of communication. In Maes, P., Mataric, M., Meyer, J.-A., Pollack, J., & Wilson, S. W. (Eds.), From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pp. 608--617. MIT Press / Bradford Books, Cambridge, MA.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....starting populations under all three conditions. As is to be expected from simulations of this kind, there is considerable variation from run to run, but all the results are qualitatively the same as those we will describe. The experiments are robust and have been replicated in other laboratories [16]. When communication is suppressed, the degree of coordination (average level of cooperation) stays near to 6.25, the calculated level when the agents are guessing [6] figure 1.1 shows how the average number of cooperations per breeding cycle ff varies over time (measured in breeding cycles) ....

....from the partial cooperation of the agents exploiting the loophole in the scoring rule (section 1.3) rather than from full fledged cooperation, for the co occurrence matrices show cooperations to be taking place in a decreasing subset of the local state space. 1. 7 Related Work Noble and Cliff [16] have replicated our first series of experiments (section 1.3) and extended them in a number of ways. Overall their results agreed with ours, but their experiments exhibited several discrepancies. First, they measured lower entropy in the communication suppressed condition, as did Crumpton [2] ....

Jason Noble and Dave Cliff. On simulating the evolution of communication. In P. Maes, M. Mataric, J.-A. Meyer, J. Pollack, and S. W. Wilson, editors, From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, Cambridge, 1996. MIT Press.

....The way signaling ghting ability can help solve con icts has been explored in several contexts. For instance, Noble describes an evolutionary simulation that challenges Enquist s assumption that weak animals will signal their ghting ability honestly because they have so much to lose by blung (NOBL00). Likewise, Vaughan et al. implement stylized ghting behavior in a collectivity of robots to solve spatial interference problems. In case of space con ict between two robots, these robots compare their apparent levels of aggression and the more aggressive robot takes precedence over the less ....

....studies dominance interactions, spatial dynamics and emergent reciprocity in a virtual world. Another related work is that of Noble (NOBL98) who describes intention movements and the evolution of signaling in animal contests. Other varieties of communication have been studied in the SAB context (NOBL96, SAUN96) In particular, Reznikova and Ryabko apply Information Theory to the study of communication in ants and demonstrate that, in the communication system of these insects, the frequency of use of a message correlates with its length. The authors also demonstrate that the numerical competence ....

J. Noble and D. Cli. On Simulating the Evolution of Communication. In [SAB96].

....Research looking into the evolution of communication often sets up simple models that are difficult to analyse mathematically. With the help of GAs evolutionary stable strategies can be discovered and then their characteristics explored further (MacLennan Burghardt, 1994; Robbins, 1994; Noble Cliff, 1996; di Paolo, 1997; Bullock, 1997) Evolvable Hardware and Engineering Design This is one of the areas where existence is clearly an important aspect of the work (Thompson, 1996; Koza, Keane, Bennett III, Yu, Mudlowec, Stiffelman, 1999) Koza et al. 1999) report the use of genetic programming ....

Noble, J., & Cliff, D. (1996). On simulating the evolution of communication. In Proceedings of the Fourth Conference on the Simulation of Adaptive Behaviour.

....fitness of an individual must have the potential to be affected by the state of the environment or by others in the population. Much of the other work investigating the evolution of communication belongs to this category of models (MacLennan Burghardt, 1994; Werner Dyer, 1991; Bullock, 1997; Noble Cliff, 1996) as an external selection regime is being used to drive the evolutionary search process. However this does not alter the plausibility of the models, it only changes the potential dynamics of the search processes. Once again the nature of the hypothesis being tested places boundaries on the search ....

Noble, J., & Cliff, D. (1996). On simulating the evolution of communication. In SAB96.

....to ask others We have studied these questions in computer simulations of a minimal environment where two agents must communicate about a simple task. Very recently, a number of researchers have investigated these questions. Hutchins and Hazlehurst, 1995, Mataric, 1993, Moukas and Hayes, 1996, Noble and Cliff, 1996, Steels, 1996a; 1996b; forthc. Yanco and Stein, 1993, Yanco, 1994) Our approach relates to the Adaptable Synthetic Robot Language (ASRL) paradigm developed by Yanco and Stein (1993) and Yanco (1994) Yanco (1994) identifies two distinctions among ASRLs. First, whether the language is ....

Noble, J. & Cliff, D., (1996), "On Simulating the Evolution of Communication". In P. Maes, M. J. Mataric, J.-A. Meyer, J. Pollack and S. W. Wilson (eds.) Fourth International Conference on Simulation of Adaptive Behavior, Cape Cod, Massachusetts, 608--617, The MIT Press.

....may indeed be practised with good results but that it can not be placed at the core of a methodology for ALife, whether we see ALife as a collection of novel techniques or as a scientific discipline in its own right. 1 For a detailed methodological analysis on a specific piece of work see (Noble Cliff, 1996) 2 ALife as a tool for Theoretical Biology. Complex computer simulations do not define a new science by themselves, in any case, they are a technique which may provide new ways of doing an existing science. In the case of ALife Miller assumes that this science is theoretical biology and I will ....

Noble, J., & Cliff, D. (1996). On simulating the evolution of communication. Cognitive science research paper 420, School of Cognitive and Computing Sciences, University of Sussex.

....4 deals with aspects of learning a language and we then have 3 sections of experimental work before completing with a discussion of what has been learned. 2 A Language Community There has been much recent research into the evolution of communication using simulations. Most simulations (e.g. [7]) are predicated on the assumption that there is a need for the behavior of the receiver of the communication to be changed in some way by the communication. We, on the other hand, perform simple simulations to investigate the development of a joint communication language which is formed when the ....

....to be changed in some way by the communication. We, on the other hand, perform simple simulations to investigate the development of a joint communication language which is formed when the sender alone is forced to adapt to conform to the society in which it finds itself. We do however agree with [7] that such simulation should be grounded in the environment in which each agent finds itself. Therefore each agent uses a simple artificial neural network to extract information about the environment. We deliberately use a set of parameters for this network (particularly a fast learning rate) such ....

J. Noble and D. Cliff. On simulating the evolution of communication. In From Animals to Animats 4 - Proceedings of the Fourth International Conference on Adaptive Behaviour, 1996.

No context found.

Noble, J., & Cliff, D. (1996). On simulating the evolution of communication. In Maes, P., Mataric, M., Meyer, J.-A., Pollack, J., & Wilson, S. W. (Eds.), From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pp. 608--617. MIT Press / Bradford Books, Cambridge, MA.

.... biochemistry) what behaviors arti#cial neural networks exhibit is a topic that has received little attention in the literature (one example is the work of Nol# and Parisi [34] Finally, although a number of researchers have reported on studies of the evolution of communication in animats (e.g. [5, 26, 27, 33, 52]) none of the studies conducted so far have involved agents as complex as the norns in Creatures, and so the interaction between genetic evolution, lifetime learning, and cultural transmission of information (i.e. population memetics : See, e.g. 7] remains a topic open for further research. ....

Noble, J., & Cliff, D. (1996). On simulating the evolution of communication. In P. Maes, M. J. Matari c, J.-A. Meyer, J. Pollack, & S. W. Wilson (Eds.), From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior (pp. 608--617). Cambridge MA: MIT Press/Bradford Books.

No context found.

J. Noble and D. Cli#. On simulating the evolution of communication. In P. Maes, M. Mataric, J.-A. Meyer, J. Pollack, and S.W. Wilson, editors, From Animals to Animats 4 : Proceedings of the Fourth Annual Conference on Simulation of Adaptive Behavior, Cambridge, MA. MIT Press.

No context found.

Noble, J., & Cli, D. (1996). On simulating the evolution of communication. In P. Maes, M. Mataric, J.-A. Meyer, J. Pollack & S. W. Wilson (Eds.), From animals to animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pp. 608-617. Cambridge (MA): MIT Press.

No context found.

Noble, J., Cli, D., 1996. On Simulating the Evolution of Communication, Cognitive Science Research Paper 420, School of Cognitive and Computing Sciences, University of Sussex.

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