Reasoning system

Applied sciences
Information engineering
Artificial intelligence
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Related lectures (9)

Search Algorithms: Abductive Reasoning

Explores abductive reasoning, search algorithms, and heuristic search for problem-solving.

Neuro-symbolic Representations: Commonsense Knowledge & Reasoning

Delves into neuro-symbolic representations for commonsense knowledge and reasoning in natural language processing applications.

Neuro-symbolic Representations: Commonsense Knowledge & Reasoning

Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.

Propositional Logic: Inference Rules

Covers the interpretation of propositional logic and inference rules for implication, conjunction, and double negation.

Propositional Logic: Inference Rules and Valid Arguments

Covers inference rules in propositional logic and common logical fallacies.

Search Algorithms: Abductive Reasoning

Covers search algorithms, focusing on abductive reasoning and heuristic search strategies.

Automated Reasoning in Practice

Explores practical automated reasoning systems like TPTP, TSTP, and CASC, emphasizing the importance of consistency and future developments.

Semantic Web: Overview and Tools

Explores the Semantic Web, ontologies, schema mapping, RDF, and knowledge graphs.

Diagnostic: Abduction and Consistency

Explores diagnostic problems, emphasizing abduction and consistency in finding faulty components based on observed symptoms and measurements.

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