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  1. Machine discovery.Herbert Simon - 1995 - Foundations of Science 1 (2):171-200.
    Human and machine discovery are gradual problem-solving processes of searching large problem spaces for incompletely defined goal objects. Research on problem solving has usually focused on search of an instance space (empirical exploration) and a hypothesis space (generation of theories). In scientific discovery, search must often extend to other spaces as well: spaces of possible problems, of new or improved scientific instruments, of new problem representations, of new concepts, and others. This paper focuses especially on the processes for finding new (...)
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  • The process of discovery.Wei-Min Shen - 1995 - Foundations of Science 1 (2):233-251.
    This paper argues that all discoveries, if they can be viewed as autonomous learning from the environment, share a common process. This is the process of model abstraction involving four steps: act, predict, surprise, and refine, all built on top of the discoverer's innate actions, percepts, and mental constructors. The evidence for this process is based on observations on various discoveries, ranging from children playing to animal discoveries of tools, from human problem solving to scientific discovery. Details of this process (...)
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  • Sent Simulating Simon Simulating Scientists.Esther-Mirjam Sent - 2001 - Studies in History and Philosophy of Science Part A 32 (3):479-500.
    The paper consists of a reflexive exercise in which Herbert Simon's views concerning science are applied to his own research. It argues that what connected his ventures into so many different disciplinary domains was a search for complex, hierarchical systems. In the process, the paper establishes a close connection between Simon's insights and his focus on simulation. Instead of simulating Simon on a computer, though, it simulates Simon on paper. This exercise is then contrasted with Simon's own attempts to simulate (...)
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  • Introducing new predicates to model scientific revolution.Charles X. Ling - 1995 - International Studies in the Philosophy of Science 9 (1):19 – 36.
    Abstract The notion of necessary new terms (predicates) is proposed. It is shown that necessary new predicates in first?order logic must be directly, recursively defined. I present a first?order inductive learning algorithm that introduces new necessary predicates to model scientific revolution in which a new language is adopted. I demonstrate that my learning system can learn a genetic theory with theoretical terms which, after being induced by my system, can be interpreted as either types of genetic properties (dominant or recessive) (...)
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