On the nature and evolution of human know-how

Richard Nelson, Katherine Nelson, Richard R. Nelson

Research output: Contribution to journalArticlepeer-review

Abstract

The connections between empirical research and theories that focus on technological know-how and its advancements are presented. Artificial intelligence-oriented (AI) cognitive scientists focused on the organization and use of complex structures of human knowledge. Both classical AI, and connectionist theory, has focused on particular kinds of problems faced by humans, which require particular kinds of structures or operations in the mind such as problem-solving that involves a certain degree of conscious logical manipulation and recognition of complex patterns. One of the experts, Donald, has stated that the modem human mind is a hybrid mix of four different kinds of knowledge and learning processes. The Donald's theory recognizes the necessity of setting human knowledge into the biological evolutionary framework congruent with that of other animals, where the point is to learn about and adapt within the world. It also recognizes the necessity of the framework that takes account of the special human capacities for symbolic communication and collective problem-solving.
Original languageEnglish
Pages (from-to)719-733
Number of pages14
JournalResearch Policy
Volume31
Issue number5
DOIs
Publication statusPublished - Jul 2002

Keywords

  • Connectionist theory
  • Evolution
  • GOAI

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