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The goal of this paper is to show, how scientific concepts and processes are embedded into representational activities of cognitive systems.The most obvious fact is that science is conducted by cognitive systems whose neural systems enable them to represent and successfully interact with the world.In the course of this paper it will turn out that concepts from computational neuroscience and artificial life provide interesting insights into the problem of knowledge representation and, as a consequence, into the understanding of science and of what is referred to as the context of discovery.It will be shown how the dynamics of theories and scientific concepts can be described by the dynamics going on in the neural representation space (activation-and weight space).Furthermore, concepts from genetic algorithms and their combination with artificial neural networks could give a cogniti~ely founded explanation for paradigmatic shifts.
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Stored only when both papers are in the corpus — 6 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.