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Proteus: Visual Analogy in Problem Solving Abstract (2008)

Abstract
This work examines the hypothesis that visual knowledge alone is sufficient for analogical transfer of problem-solving procedures. It develops a computational theory of visual analogy in problem solving which has been implemented in a computer program called Proteus. Proteus provides two main things. Firstly, it provides a content account for visual analogy in problem solving, along with a corresponding vocabulary and data structures for representing the knowledge content. Secondly, Proteus provides a process account for visual analogy in problem solving, along with corresponding methods and algorithms. Proteus addresses all major subtasks of analogy. It also identifies a new subtask in the task stucture of analogical problem solving: dynamic generation of new mappings between the intermediate knowledge states in the source and the target cases when a step in the transferred procedure creates a new object. Finally, by examining the limitations of use of visual knowledge alone, Proteus helps identify the functional roles of (non-visual) causal knowledge in analogical problem solving. Key words: analogy, visual reasoning, visual knowledge, problem-solving, case-based reasoning, diagrammatic reasoning, diagrams 1

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.107.8041
Source http://www.jimdavies.org/research/publications/artificial-intelligence/2005/JimDavies-Artificial-Intelligence-submission.pdf
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Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
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