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PROCEDURAL AND DECLARATIVE KNOWLEDGE IN AI & ML (1).pptx
PROCEDURAL AND
DECLARATIVE KNOWLEDGE IN AI
& ML
ASHISH WAGHMARE
SY CSE
BT2143
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.
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.
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.
Declarative Knowledge
o Declarative knowledge is knowledge about facts, truths,
or information.
o In AI and ML, declarative knowledge refers to the
knowledge about the relationships and constraints within
a problem domain.
o Declarative knowledge focuses on representing
knowledge in a structured and logical manner.
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.
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.
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.
References
 Geeks for geeks
 Chat gpt

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

  • 1.
    PROCEDURAL AND DECLARATIVE KNOWLEDGEIN AI & ML ASHISH WAGHMARE SY CSE BT2143
  • 2.
    Introduction • AI andML 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 • Proceduralknowledge 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 ProceduralKnowledge  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 o Declarativeknowledge is knowledge about facts, truths, or information. o In AI and ML, declarative knowledge refers to the knowledge about the relationships and constraints within a problem domain. o Declarative knowledge focuses on representing knowledge in a structured and logical manner.
  • 6.
    Examples of DeclarativeKnowledge  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. DeclarativeKnowledge  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 anddeclarative 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 forgeeks  Chat gpt