PROCEDURAL AND DECLARATIVE KNOWLEDGE IN AI & ML (1).pptx

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1. PROCEDURAL AND DECLARATIVE KNOWLEDGE IN AI & ML Ashish Waghmare Sy cse BT2143

2. Introduction AI and ML are revolutionizing various industries with their ability to analyze data and make intelligent decisions. Two key types of knowledge in AI & ML are procedural and declarative knowledge. This presentation explores the differences between procedural and declarative knowledge and their significance in AI and ML.

3. Procedural Knowledge Procedural knowledge is knowledge about how to do something or how to perform a task. In AI and ML, procedural knowledge refers to the knowledge about algorithms, rules, and processes to solve specific problems. Procedural knowledge focuses on the steps and actions required to achieve a desired outcome.

4. Examples of Procedural Knowledge Writing a sorting algorithm: Procedural knowledge involves understanding the specific steps, such as bubble sort or quicksort, to sort a list of elements. Training a neural network: Procedural knowledge includes knowledge of the architecture, activation functions, backpropagation, and optimization techniques to train a neural network .

5. Declarative Knowledge Declarative knowledge is knowledge about facts, truths, or information. In AI and ML, declarative knowledge refers to the knowledge about the relationships and constraints within a problem domain. Declarative knowledge focuses on representing knowledge in a structured and logical manner.

6. Examples of Declarative Knowledge Medical diagnosis: Declarative knowledge includes a knowledge base of symptoms, diseases, and their relationships, enabling a system to provide accurate diagnoses. Recommender systems: Declarative knowledge involves knowledge about user preferences, item attributes, and historical data to provide personalized recommendations.

7. Procedural vs. Declarative Knowledge Procedural knowledge is concerned with how to perform a task, while declarative knowledge is concerned with what is known about a task. Procedural knowledge is algorithmic and focuses on step-by-step procedures, while declarative knowledge is based on logical relationships and constraints. Procedural knowledge is often specific to a particular task, while declarative knowledge can be more general and applicable across different tasks.

8. Conclusion Procedural and declarative knowledge are two fundamental types of knowledge in AI and ML. Procedural knowledge focuses on how to perform tasks, while declarative knowledge focuses on what is known about tasks. Both types of knowledge play crucial roles in the development and implementation of AI and ML systems, contributing to their effectiveness and intelligence.

9. References Geeks for geeks Chat gpt