Abstract
Heuristics can be regarded as justifying the actions and beliefs of problem-solving agents. I use an analysis of heuristics to argue that a symbiotic relationship exists between traditional epistemology and contemporary artificial intelligence. On one hand, the study of models of problem-solving agents using quantitative heuristics, for example computer programs, can reveal insight into the understanding of human patterns of epistemic justification by evaluating these models' performance against human problem-solving. On the other hand, qualitative heuristics embody the justifying ability of defeasible rules, the understanding of which is provided by traditional epistemology.
Original language | English (US) |
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Pages (from-to) | 467-487 |
Number of pages | 21 |
Journal | Minds and Machines |
Volume | 5 |
Issue number | 4 |
DOIs | |
State | Published - Nov 1 1995 |
Keywords
- Heuristics
- defeasible reasoning
- epistemology
- justification
- problem-solving