Generative science is an interdisciplinary and multidisciplinary science that explores the natural world and its complex behaviours as a generative process. Generative science shows how deterministic and finite rules and parameters in the natural phenomena interact with each other to generate seemingly unanticipated and infinite behaviour. Yet, these innumerable unforeseen generative patterns and unexpected generative behaviours are fundamentally deterministic.
These sciences include psychology and cognitive science, cellular automata, generative linguistics, natural language processing, connectionism, self-organization, evolutionary biology, neural network, social network, neuromusicology, Quantum cellular automata, information theory, systems theory, genetic algorithms, Computational sociology, Communication networks, artificial life, chaos theory, complexity theory, Network science, epistemology, Quantum dot cellular automaton, Quantum computer, systems thinking, genetics, philosophy of science, Quantum mechanics, cybernetics, Digital Physics, Digital Philosophy, bioinformatics, agent based modeling and catastrophe theory.
Read more about Generative Science: Elemental Perspective, Scientific and Philosophical Origins, Generative Sciences and Determinism, Implications of Generative Sciences, Prospective Directions, Prominent Generative Scientists, Selected Bibliography
Famous quotes containing the words generative and/or science:
“Hence, a generative grammar must be a system of rules that can iterate to generate an indefinitely large number of structures. This system of rules can be analyzed into the three major components of a generative grammar: the syntactic, phonological, and semantic components.”
—Noam Chomsky (b. 1928)
“Science has nothing to be ashamed of even in the ruins of Nagasaki. The shame is theirs who appeal to other values than the human imaginative values which science has evolved.”
—Jacob Bronowski (1908–1974)