11 found
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  1.  14
    Complexity at the Social Science Interface.Nigel Gilbert & Seth Bullock - 2014 - Complexity 19 (6):1-4.
  2.  31
    Embracing the Tyranny of Distance: Space as an Enabling Constraint.Seth Bullock & Christopher L. Buckley - 2009 - Technoetic Arts 7 (2):141-152.
  3.  43
    Made to Measure: Ecological Rationality in Structured Environments. [REVIEW]Seth Bullock & Peter M. Todd - 1999 - Minds and Machines 9 (4):497-541.
    A working assumption that processes of natural and cultural evolution have tailored the mind to fit the demands and structure of its environment begs the question: how are we to characterize the structure of cognitive environments? Decision problems faced by real organisms are not like simple multiple-choice examination papers. For example, some individual problems may occur much more frequently than others, whilst some may carry much more weight than others. Such considerations are not taken into account when (i) the performance (...)
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  4.  61
    Levins and the Lure of Artificial Worlds.Seth Bullock - 2014 - The Monist 97 (3):301-320.
    What is it about simulation models that has led some practitioners to treat them as potential sources of empirical data on the real-world systems being simulated; that is, to treat simulations as ‘artificial worlds’within which to perform computational ‘experiments’? Here we use the work of Richard Levins as a starting point in identifying the appeal of this model building strategy, and proceed to account for why this appeal is strongest for computational modellers. This analysis suggests a perspective on simulation modelling (...)
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  5.  35
    Developmental Motifs Reveal Complex Structure in Cell Lineages.Nicholas Geard, Seth Bullock, Rolf Lohaus, Ricardo B. R. Azevedo & Janet Wiles - 2011 - Complexity 16 (4):48-57.
    Many natural and technological systems are complex, with organizational structures that exhibit characteristic patterns but defy concise description. One effective approach to analyzing such systems is in terms of repeated topological motifs. Here, we extend the motif concept to characterize the dynamic behavior of complex systems by introducing developmental motifs, which capture patterns of system growth. As a proof of concept, we use developmental motifs to analyze the developmental cell lineage of the nematode Caenorhabditis elegans, revealing a new perspective on (...)
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  6.  40
    Spatially Embedded Dynamics and Complexity.Christopher L. Buckley, Seth Bullock & Lionel Barnett - 2010 - Complexity 16 (2):29-34.
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  7.  26
    Exploring the Dynamics of Adaptation with Evolutionary Activity Plots.Seth Bullock & Mark A. Bedau - unknown
    Evolutionary activity statistics and their visualization are introduced, and their motivation is explained. Examples of their use are described, and their strengths and limitations are discussed. References to more extensive or general accounts of these techniques are provided.
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  8.  50
    Spatial Embedding as an Enabling Constraint: Introduction to a Special Issue of Complexity on the Topic of “Spatial Organization”.Seth Bullock & Nicholas Geard - 2010 - Complexity 16 (2):8-10.
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  9.  23
    The Evolution of Mind, Edited by Denise Dellarosa Cummins and Colin Allen.Seth Bullock - 1999 - Trends in Cognitive Sciences 3 (9):361.
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  10.  10
    Evolutionary Simulation Modelling Clarifies Interactions Between Parallel Adaptive Processes.Seth Bullock & Jason Noble - 2000 - Behavioral and Brain Sciences 23 (1):150-151.
    The teleological language in the target article is ill-advised, as it obscures the question of whether ecological and cultural inheritances are directed or random. Laland et al. present a very broad palette of explanatory possibilities; evolutionary simulation models could help narrow down the processes important in a particular case. Examples of such models are offered in the areas of language change and the Baldwin effect.
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  11. Books Etcetera-the Evolution of Mind.Seth Bullock - 1999 - Trends in Cognitive Sciences 3 (9):360.