AI Artificial Intelligence

Expert Systems: Harnessing Human Expertise in AI

Expert systems are a class of artificial intelligence (AI) systems designed to emulate the decision-making ability of human experts in a specific domain. They combine knowledge representation, inference mechanisms, and user interfaces to solve problems, make decisions, or provide recommendations in a manner similar to that of a human expert. Introduction to Expert Systems Expert […]

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Frames and Scripts

Introduction to Frames and Scripts Frames and scripts are knowledge representation schemes that organize knowledge into structured units. Frames represent objects or concepts along with their properties and relationships, while scripts represent stereotypical sequences of events or actions associated with particular situations. Frame Representation Frames consist of slots (attributes or properties) and fillers (values or

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Semantic Networks

Introduction to Semantic Networks Semantic networks represent knowledge in the form of nodes (representing concepts or objects) and links (representing relationships between concepts). They provide a graphical representation of knowledge that is easy to understand and manipulate. Nodes, Arcs, and Hierarchical Structure Semantic networks consist of nodes connected by arcs, where nodes represent concepts or

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First-Order Logic

Introduction to First-Order Logic First-order logic, also known as predicate logic, extends propositional logic by introducing variables, quantifiers, and predicates. It allows for a more expressive and precise representation of knowledge and relationships between objects. Variables, Quantifiers, and Predicates First-order logic uses variables to represent objects, quantifiers such as ∀ (for all) and ∃ (there

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Propositional Logic

Introduction to Propositional Logic Propositional logic, also known as sentential logic, deals with propositions or statements that can be either true or false. It provides a formal framework for reasoning about logical relationships between propositions. Propositional Symbols and Connectives Propositional logic uses symbols to represent propositions and logical connectives to combine propositions into more complex

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Knowledge Representation and Reasoning

Propositional Logic Propositional logic represents statements as propositions (or statements) that can either be true or false. It uses logical operators such as AND, OR, and NOT to combine propositions and make inferences. First-Order Logic First-order logic extends propositional logic by introducing variables, quantifiers (such as ∀ for “for all” and ∃ for “there exists”),

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Applications of Search Algorithms

Route Planning Search algorithms are widely used in route planning applications such as GPS navigation systems, where the goal is to find the shortest path between two locations in a road network. Scheduling and Planning Search algorithms are used in scheduling and planning problems, such as job scheduling, task allocation, and resource management, to find

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