Worldviews, Science and Us: Philosophy and Complexity : University of Liverpool, UK, 11-14 September 2005
Scientific, technological, and cultural changes have always had an impact upon philosophy. They can force a change in the way we perceive the world, reveal new kinds of phenomena to be understood, and provide new ways of understanding phenomena. Complexity science, immersed in a culture of information, is having a diverse but particularly significant impact upon philosophy. Previous ideas do not necessarily sit comfortably with the new paradigm, resulting in new ideas or new interpretations of old ideas.In this unprecedented interdisciplinary volume, researchers from different backgrounds join efforts to update thinking upon philosophical questions with developments in the scientific study of complex systems. The contributions focus on a wide range of topics, but share the common goal of increasing our understanding and improving our descriptions of our complex world. This revolutionary debate includes contributions from leading experts, as well as young researchers proposing fresh ideas.
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Complexity Science as an Aspect of the Complexity of Science
On the Importance of a Certain Slowness
Can the Whole be More than the Computation of the Parts?
Why Diachronically Emergent Properties Must Also Be Salient
On the Relativity of Recognising the Products of Emergence
Truth in Complex Adaptive Systems Models should be Based
How to Love the Bomb Trying to Solve the Prisoners
Physical Complexity and Cognitive Evolution
Grasping the Complexity of Living Systems Through Integrative
A Compromise Between Reductionism and NonReductionism
The Complexity of InformationProcessing Tasks in Vision
On the Possible Computational Power of the Human Mind
How Does Complex Mathemical Theory Arise? Phylogenetic
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abstract abstract machine algorithmic complexity altruism approach argue argument artificial behaviour biological brain causal cell Chaitin chaos theory classical cognitive cognitive biology complex adaptive systems complex systems complexity science components computational power concept context defined definition developed dynamic systems emergent properties encoding entities entropy environment epistemic epistemological equilibrium evolution example existence explanation formal system formal verification function fundamental game theory hierarchy human idea information-processing informational dynamic system interactions kind knowledge language laws logical Marr's mathematical mechanisms metaphysical mind nature neural network neurons notion novelty objects ontological oracle organization paradigm particular patterns perspective phenomena Philosophy of Science physical complexity possible predict principle problem produce random rational real number reason reductionism relation representations result role scientific scientists self-organized simplicity simulation social sciences structure theoretical thermodynamic thermodynamic equilibrium tion Turing degree Turing machine understand University Press weak emergence