The Genealogy of Biomimetics: Half a Century’s Quest for Dynamic IT

Sørensen, Mikkel Holm

doi:10.1007/978-3-540-27835-1_36

Biologically Inspired Approaches to Advanced Information Technology

2004

DOI: 10.1007/978-3-540-27835-1_36

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The Genealogy of Biomimetics: Half a Century’s Quest for Dynamic IT

Mikkel Holm Sørensen

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2014

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“…On the concept of biomimetics, seeSrensen (2004);Muntean and Wright (2007).3 I take here algorithms as abstract, mathematical objects, whereas programs as their concrete instantiation on a machine. A sensitive difference is between genetic algorithms, genetic programming and genetic strategies.…”

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confidence: 99%

Computation and Scientific Discovery? A Bio-Inspired Approach

Muntean¹

2014

Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems

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Philosophers argue that scientific discovery is far from being a rule-following procedure with a general logic: More likely it incorporates creativity and autonomy of the scientist, and probably luck. Others think that discovery can be automatized by some computational process. Based on a concrete example of Schmidt and Lipson Schmidt and Lipson (2009), I argue that the bottom-up discovery is computable and that both aspects of creativity and autonomy can be incorporated. The bio-inspired evolutionary computation (genetic algorithms) are the most promising tool in this respect. The paper tackles the epistemology of applying a evolutionary computational and genetic algorithms, to the process of discovering laws of nature, invariants or symmetries from collections of data. Here i focus on more general aspects of the epistemology of evolutionary computation when applied to knowledge discovery. These two topics: computational techniques applied in science and scientific discovery taken separately are both controversial enough to raise suspicions in philosophy of science. The majority of philosophers of science would look with a jaundiced eye to both and ask whether there is anything new to say about discovery and computers in science. This paper is a first stab to the philosophical richness of computational techniques applied to the context of discovery. I discuss the prospect of using this type of computation to discover laws of nature, invariants or symmetries and appraise their role in future scientific discoveries.

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confidence: 99%

Computation and Scientific Discovery? A Bio-Inspired Approach

Muntean¹

2014

Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems

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The Genealogy of Biomimetics: Half a Century’s Quest for Dynamic IT

Cited by 1 publication

References 7 publications

Computation and Scientific Discovery? A Bio-Inspired Approach

Computation and Scientific Discovery? A Bio-Inspired Approach

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