3-Computer Science-Systems-Artificial Intelligence

artificial intelligence

Programs {artificial intelligence}| (AI) can embody logical processes and have memory. Artificial-intelligence systems have sets {knowledge base} {database} of classes or representations. Reasoning methods {control strategy} select rule or representation, check rule conditions, and track used and available rules. AI has rule {operation} sets. AI has search mechanisms {graph search}, which apply rule at nodes to get to new nodes. Rules or predicates have attributes, sets, objects, events, values, or subsets.

expert system

Artificial-intelligence systems {expert system}| can mimic experts. Expert systems can store rules with which to classify. Expert systems can make decisions based on utility-function optimization. Expert systems can use networks with weighted connections. Sets of IF/THEN statements can make output from input.

inquiring system

Systems {inquiring system} have boundaries, communication methods, goals, and comparison methods, such as distinguishing or generalizing. Systems modify based on success or failure, build language, have memory, take perspective, change perspective, make models, and observe self.

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Date Modified: 2022.0225