How is AI related to Knowledge? Differentiate b/w Declarative and Procedural knowledge.

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AI and Knowledge:

Artificial Intelligence (AI) is closely related to knowledge as it aims to create intelligent systems that can mimic human-like cognitive processes, including reasoning, problem-solving, learning, and decision-making. Knowledge plays a fundamental role in AI by providing the information and context that AI systems need to perform these cognitive tasks effectively.

In AI, knowledge is typically represented in various forms, such as rules, facts, data, ontologies, and models. This knowledge is used to enable machines to understand, interpret, and generate meaningful insights from the input data and interactions with the environment.

Declarative Knowledge and Procedural Knowledge:

Declarative knowledge and procedural knowledge are two fundamental types of knowledge often used in AI and cognitive science. They represent different aspects of how we understand and interact with the world.

Declarative Knowledge:
Declarative knowledge refers to factual information or statements about the world. It represents what is true or false, without necessarily indicating how that knowledge is applied or used. Declarative knowledge describes the state of affairs, relationships, and properties.

Example of Declarative Knowledge: "Paris is the capital of France."

In AI, declarative knowledge is commonly used in knowledge representation systems, ontologies, and databases to store and reason about facts and concepts.

Procedural Knowledge:
Procedural knowledge, on the other hand, involves knowing how to perform certain tasks or activities. It represents a sequence of actions, steps, or procedures required to achieve a specific goal or outcome. Procedural knowledge is more about the "how" of doing something.

Example of Procedural Knowledge: Knowing how to ride a bicycle, cook a recipe, or solve a mathematical equation.

In AI, procedural knowledge is essential for tasks involving problem-solving, planning, decision-making, and process automation. Procedural knowledge is often used in algorithms, expert systems, and cognitive models to simulate human-like decision processes and actions.

Difference Between Declarative and Procedural Knowledge:

Nature:

Declarative Knowledge: Focuses on describing facts and information.
Procedural Knowledge: Focuses on describing processes and procedures.
Content:

Declarative Knowledge: Provides information about what is true or false.
Procedural Knowledge: Provides information about how to perform tasks or actions.
Usage:

Declarative Knowledge: Primarily used for reasoning, inference, and knowledge representation.
Procedural Knowledge: Used for problem-solving, decision-making, planning, and executing actions.
Representation:

Declarative Knowledge: Often represented as statements, facts, or data structures.
Procedural Knowledge: Represented as sequences of steps, algorithms, or rules for performing tasks.
Both types of knowledge are important for creating intelligent AI systems that can handle a wide range of tasks and exhibit human-like cognitive abilities. Declarative knowledge provides the foundation of understanding, while procedural knowledge enables action and problem-solving.