Logic for Ontologies
PHI-602LEC-BEV
University at Buffalo
- Semester
- Spring 2027
- Instructor
- Start Date
- 01-20-2027
- Total Credits
- 3
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- 716-645-5698
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Humans are perplexing. Many engage effortlessly in discourse without violating conversational norms. Some accurately diagnose treatment options for medical conditions, based on minimal information. Some identify lemmas needed to prove theorems too complex for automated approaches. Humans are perplexingly good at solving complicated tasks. Artificial Intelligence communities have, for decades, worked to design computing systems able to solve complicated tasks as well as humans can. Siri, autonomous vehicles, Computer-Aided Diagnosing systems, and automated theorem provers, are examples of the fruits of such labor. For such feats of computing ingenuity to work properly, however, relevant knowledge must be represented in formalisms interpretable by computing systems.
Course Area: Philosophy
Level: Graduate
Dates: 01-20-2027 - 05-04-2027
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