Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
The calculi of emergence: computation, dynamics and induction
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
ACM Computing Surveys (CSUR)
Computational mechanics of cellular automata: an example
Proceedings of the workshop on Lattice dynamics
Emergence: from chaos to order
Emergence: from chaos to order
A classification of long-term evolutionary dynamics
ALIFE Proceedings of the sixth international conference on Artificial life
Perpetuating evolutionary emergence
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Artificial Life
Creativity in evolution: individuals, interactions, and environments
Creative evolutionary systems
The Pattern on the Stone: The Simple Ideas That Make Computers Work
The Pattern on the Stone: The Simple Ideas That Make Computers Work
Explanations at Multiple Levels1
Minds and Machines
Ansatz for dynamical hierarchies
Artificial Life
Elements of a Theory of Simulation
Proceedings of the Third European Conference on Advances in Artificial Life
A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Evolution and Biocomputation, Computational Models of Evolution
Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution (Vienna Series in Theoretical Biology)
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I investigate the relationship between adaptation, as defined in evolutionary theory through natural selection, and the concept of emergence. I argue that there is an essential correlation between the former, and "emergence" defined in the field of algorithmic simulations. I first show that the computational concept of emergence (in terms of incompressible simulation) can be correlated with a causal criterion of emergence (in terms of the specificity of the explanation of global patterns). On this ground, I argue that emergence in general involves some sort of selective processes. Finally, I show that a second criterion, concerning novel explanatory regularities following the emergence of a pattern, captures the robustness of emergence displayed by some cases of emergence (according to the first criterion). Emergent processes fulfilling both criteria are therefore exemplified in evolutionary biology by some so-called "innovations", and mostly by the new units of fitness or new kinds of adaptations (like sexual reproduction, multicellular organisms, cells, societies) sometimes called "major transitions in evolution", that recent research programs (Maynard-Smith and Szathmary 1995; Michod 1999) aims at explaining.