Di Paolo, E. A., Noble, J., & Bullock, S. (2000). Simulation models as opaque thought experiments. In M. Bedau, J. McCaskill, N. Packard, & S. Rasmussen (Eds.), Artificial Life VII (pp. 497--506). Cambridge, MA: The MIT Press/Bradford Books. Home/Search Document Details and Download
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Spatial Organisation of a Homogeneous Agent Population Using.. - Williams (2002) (Correct)
....mechanisms upon which the idea is based. By examination of the behaviour of the model in different circumstances, the soundness of the model can be tested and revised, until it is consistent enough for the experimenter to make hypotheses concerning the real world. This approach is described in [7] as the use of simulation models as opaque thought experiments. 3.3 Agents and Environment 3.3.1 The World The world is a toroidal featureless plane, chosen so that there is no possibility of unintended edge effects, and so that the only source of information is the pheromone concentration ....
Di Paolo, E. A., Noble, J. & Bullock, S. (2000). Simulation models as opaque thought experiments. In M. A. Bedau, J. S. McCaskill, N. H. Packard, & S. Rasmussen (Eds.) Artificial Life VII: The Seventh International Conference on the Simulation and Synthesis of Living Systems, Reed College, Portland, Oregon, USA, 1-6 August (pp. 497-506). MIT Press/Bradford Books, Cambridge, MA.
Enhancing Game Theory With Coevolutionary Simulation Models.. - Dave Harris Seth Self-citation (Bullock) (Correct)
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E. A. Di Paolo, J. Noble & S. Bullock, "Simulation models as opaque thought experiments," Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life, Portland, Oregon, USA, 1-6 August, pp. 477-486, 2000.
The View from Elsewhere: Perspectives on ALife Modeling - Wheeler, Bullock, Di.. (2002) (1 citation) Self-citation (Di paolo Noble Bullock) (Correct)
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Di Paolo, E. A., Noble, J., & Bullock, S. (2000). Simulation models as opaque thought experiments. In M. A. Bedau, J. S. McCaskill, N. H. Packard, & S. Rasmussen (Eds.), Arti#cial Life VII: The Seventh International Conference on the Simulation and Synthesis of Living Systems (pp. 497--506). Cambridge, MA: MIT Press/Bradford Books.
The View from Elsewhere: Perspectives on ALife Modelling - Wheeler, Bullock, Di.. (2002) (2 citations) Self-citation (Di paolo Noble Bullock) (Correct)
....principle models [24] as thought experiments. And that is to lose a distinction (between mathematical models and thought experiments) which is worth having. This loss prevails even if one adds in Dennetts rider about possibility and necessity, or, in the case of simulations, Di Paolo et al..s [21] neo Kuhnian analysis that ALife models are thought experiments because they work by provoking a re organisation of our concepts. Here is a way forward: On a no nonsense account, a thought experiment is a device that takes place in the imagination [14] Unlike other accounts, the nononsense ....
....it is important that (i) they meet the same methodological standards as models from more orthodox modelling paradigms and (ii) they offer something beyond and possibly above these existing modelling approaches. These twin concerns motivate the majority of writing on ALife modelling methodology [13, 15, 21, 36, 47]. When is ALife simulation appropriate What are its strengths and weaknesses How can ALife simulation models be verified, calibrated, assessed and employed to best effect How realistic should an ALife model be In what senses are they superior to formal mathematical models In what senses are ....
Di Paolo, E. A., Noble, J. and Bullock, S. (2000). Simulation models as opaque thought experiments. In M. A. Bedau, J. S. McCaskill, N. H. Packard, and S. Rasmussen (Eds.), Artificial Life VII: the Seventh International Conference on the Simulation and Synthesis of Living Systems. Reed College, Portland, Oregon, USA, 1-6 August. Cambridge MA: MIT Press/Bradford Books, pp.497-506.
Artificial Life and Historical Processes - Di Paolo Self-citation (Di paolo) (Correct)
....place These are important open questions that deserve further development, and in which AL simulation models may play an important role. Such models can indeed show more flexibility than strictly analytical models, although their use as scientific tools also brings a whole new set of problems [22]. For the moment, the historical perspective can offer only a negative take on the issue of novelty. If the process cannot be said to be historical, then it is pointless to look for the conditions that will lead to novelty. The author wishes to acknowledge the support of the Nuffield Foundation, ....
Di Paolo, E.A., Noble, J., Bullock, S.: Simulation models as opaque thought experiments. In Bedau, M.A., McCaskill, J.S., Packard, N.H., Rasmussen, S., eds.: Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life, MIT Press, Cambridge, MA (2000) 497--506
Adaptive Factors in the Evolution of Signalling Systems - Noble, Di Paolo, Bullock Self-citation (Di paolo Noble Bullock) (Correct)
....to individual based computational modelling lets us test the idea that stable communication may emerge from low level details of space, time, and interactions between organisms that cannot be captured in a conventional game theoretic model. We are most interested in evolutionary simulation models (Di Paolo, Noble, Bullock, 2000), which involve the explicit modelling of individual organisms interacting in a shared environment. Evolution is incorporated in the sense that the more successful organisms (where success is de ned by a criterion analogous to energy accumulation) will have a greater likelihood of passing on their ....
....to be a combination of traditional analytical models and individual based computer simulations, in which factors such as space, discreteness of individuals, and noise can be included naturally. As an example of particularly non intuitive ecological e ects, we may consider the model introduced by Di Paolo (2000), in which the evolution of altruism in an action response game is studied via a series of analytical and simulation approaches. Action response games (e.g. Hurd, 1995) are fairly general models of social interaction which include signalling behaviour as a spe cial case. The evolution of ....
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Di Paolo, E. A., Noble, J., & Bullock, S. (2000). Simulation models as opaque thought experiments. In Bedau, M. A., McCaskill, J. S., Packard, N. H., & Rasmussen, S. (Eds.), Articial Life VII: Proceedings of the Seventh International Conference on Articial Life, pp. 497-506. MIT Press, Cambridge, MA.
A Gene Network Model for Developing Cell Lineages - Geard, Wiles (Correct)
No context found.
Di Paolo, E. A., Noble, J., & Bullock, S. (2000). Simulation models as opaque thought experiments. In M. Bedau, J. McCaskill, N. Packard, & S. Rasmussen (Eds.), Artificial Life VII (pp. 497--506). Cambridge, MA: The MIT Press/Bradford Books.
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