Note for Artificial Intelligence - AI by Devanshi Tank
- Artificial Intelligence - AI
- Note
- Visvesvaraya Technological University Regional Center - VTU
- Computer Science Engineering
- B.Tech
- 13 Topics
- 102 Views
- Uploaded 1 year ago
Note for Artificial Intelligence - AI by Devanshi Tank
- Ontological engineering - ( 3 - 9 )
- Objects and categories - ( 10 - 12 )
- FOL and categories - ( 13 - 15 )
- Relation and catagories - ( 16 - 23 )
- Mesurements - ( 24 - 77 )
- Semantic network - ( 78 - 84 )
- Description logic's - ( 85 - 92 )
- Reasoning and default info - ( 93 - 99 )
- Truth maintenance system - ( 100 - 102 )
- Learning from observations - ( 103 - 122 )
- Decision trees as performance elements - ( 123 - 152 )
- Broadening the applicability of decision trees - ( 153 - 168 )
- Computational learning theory - ( 169 - 200 )
Topics ( 13 )
Text from page-1
Knowledge Representation Chapter 10 Unit-6 how to use first-order logic to represent the most important aspects of the real world, such as action, space, time, mental events, and shopping.
Text from page-2
Outline a general ontology the basic categories representing actions mental events & mental objects an extended example reasoning about categories reasoning involving defaults truth maintenance systems
Text from page-3
Ontological Engineering • Complex domains – e.g. internet shopping agents – require very general & flexible representations • should include actions, time, physical objects, beliefs, …. – ontological engineering • is the process of finding/deciding on representations for these abstract concepts – somewhat like Knowledge Engineering • but at a larger scale • generalized to a more complex real world
Text from page-4
Ontological Engineering • we use a general framework of concepts – an upper ontology • "upper" due to the diagrammatic convention of putting the most general at the top
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