frames in artificial intelligence

1. TITLE : FRAMES IN AI
SUBTITLE : ORGANIZING KNOWLEDGE FOR ARTIFICIAL INTELLIGENCE
presented by : atul sahu

2. INTRODUCTION
• DEFINITION OF FRAMES : a frame is a structured representation of
knowledge that organizes information into slots, fillers, constraints, and relations to
describe a concept, object, situation, and decision-making.
• IMPORTANCE OF FRAMES IN AI : frames plays a crucial role in AI, their
importance can be seen in several areas:
(1)Knowledge representation (2) Reasoning and Inference
(3) NLP (4) Computer Vision
(5) Decision-Making (6) Problem-Solving
(7) Communication (8) Reausability
(9) Flexibility (10) Improved Accuracy

3. TYPES OF FRAMES
• Conceptual frames
• Instance frames
• Situation frames
• Metaphorical frames

4. COMPONENTS OF FRAMES
• Slots
• Fillers
• Relationships

5. APPLICATIONS OF FRAMES
•Expert systems
•NLP
•Computer Vision
•Robotics
•Chatbots

6. FEW EXAMPLES OF FRAMES IN AI
• Object Frame
• Event Frame
• Person Frame
• Action Frame
• Concept Frame

7. BENEFITS OF FRAMES
• Improved Knowledge Representation
• Enhanced Reasoning and Inference
• Increased Accuracy
• Reausability
• Flexibility and Adaptibility

8. THANK YOU