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Computational Creativity, Concept Invention, and General
Computational Creativity, Concept Invention, and General

... Grounded theory (GT) is a research method within qualitative research which uses data to derive a theory [9]. It was developed in order to reverse the focus on verification of a theory, instead emphasising the prior stage of discovering which concepts and hypotheses are relevant to a particular area ...
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The knowledge level - Research Showcase @ CMU

... Early work in theorem proving programs for quantified logics culminated in 1965 with Alan Robinson's development of a machine-oriented formulation of first-order logic called Resolution (Robinson, 1965). There followed an immensely productive period of exploration of resolution-based theorem-proving ...
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Computer Science as Empirical Inquiry : Symbols and Search Allen
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Belief-optimal Reasoning for Cyber

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INTELLIGENT TELECOMMUNICATION TECHNOLOGIES

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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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