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Artificial Intelligence
Artificial Intelligence

... What really is Intelligence? • Specifically, what are the signs of Intelligent Behavior? • Think about it for a while ...
CALL FOR PAPERS 23rd Australasian Joint Conference on Artificial
CALL FOR PAPERS 23rd Australasian Joint Conference on Artificial

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... In some knowledge-based systems, we make distinctions between metalevel and object-level knowledge. Object-level knowledge is the knowledge for solving the problem in the defined domain. Metalevel knowledge is the knowledge which controls the use of object-level knowledge. The employment of metaleve ...
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... Individual AI techniques usually do not solve the full set of problems faced by an expert. Different AI techniques are needed for different parts of the system. Typical components of an expert system are: Knowledge acquisition, knowledge representation, inference, language understanding. Designing e ...
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Chapter 1: Introduction to Expert Systems
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Chapter 1: Introduction to Expert Systems
Chapter 1: Introduction to Expert Systems

... • Basic idea – any mathematical / logical system is simply a set of rules specifying how to change one string of symbols into another string of symbols. • these rules are also known as rewrite rules • simple syntactic string manipulation • no understanding or interpretation is required\also used to ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize 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.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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