Knowledge Representation
"Knowledge representation and reasoning is the field of artificial intelligence dedicated to representing information about the world in a form that a computer system can use 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."
Project Goals:
- State of the art in practical tools
- Current KBAI Knowledge Base review (concepts, implementation)
- Identify possible improvements
- How to synchronize partial KBs that share knowledge
- High level (abstract) KBs and its interaction with lower level KBs (hierarchy of abstraction over KBs)
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Fields of Research
To achieve the goals we've target at, our work has expand into a diverse set of complementary research fields.
