Overview
Explore the five major types of AI agents, including reflex, model-based, goal-based, utility-based, and learning agents, with clear examples of how they perceive and act in different environments.
Syllabus
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- Introduction to AI Agents
-- Definition and Overview
-- Importance of AI Agents in Artificial Intelligence
- Reflex Agents
-- Characteristics and Functionality
-- Examples
-- Advantages and Limitations
- Model-Based Agents
-- Concepts and Mechanisms
-- Examples
-- Advantages and Limitations
- Goal-Based Agents
-- Structure and Behavior
-- Examples
-- Goal Formulation and Achievement
-- Advantages and Limitations
- Utility-Based Agents
-- Fundamentals and Utility Function
-- Examples
-- Balancing Competing Goals
-- Advantages and Limitations
- Learning Agents
-- Learning Processes and Mechanisms
-- Examples
-- Adaptation and Improvement Over Time
-- Advantages and Limitations
- Comparing Different Types of AI Agents
-- Key Differences
-- Use Cases and Applicability
- Conclusion
-- Summary of Agent Types
-- Choosing the Right Type for a Given Problem
- Case Studies and Real-World Applications
-- Practical Examples
-- Discussion of Impact and Implications
- Review and Q&A Session
-- Clarification of Key Concepts
-- Open Discussion with Participants
Taught by
Tags
On-Demand
