Demystifying AI Agents Overview

Demystifying AI Agents Overview
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Uncover the fundamentals of AI agents focusing on rational agents, designing agents, input/output functions, and examples in various scenarios such as chess and SPAM classification. Explore the five big ideas in AI including perception, learning, natural interaction, and societal impact. Understand the critical components that define the rationality of an agent in different environments.

  • Artificial Intelligence
  • AI Agents
  • Rationality
  • Designing Agents
  • Input/Output Functions

Uploaded on Apr 12, 2025 | 1 Views


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  1. Plan Wrap-up Intelligence and Course Overview Agents Five big ideas in AI Agent/environment loop Simple input/output agent

  2. Demystifying AI Agents Instructor: Pat Virtue

  3. Plan Agents Five big ideas in AI Rational agents Agent/environment loop Simple input/output agent

  4. Five Big Ideas in AI 1. Perception 2. Representation and Reasoning 3. Learning 4. Natural Interaction 5. Societal Impact

  5. Rational Agents What is rational at any given time depends on four things The performance measure that defines the criteria of success The agent s prior knowledge of the environment The actions that the agent can perform The agent s percept sequence to date Slide credit: http://aima.cs.berkeley.edu/

  6. Designing Agents An agent is an entity that perceives and acts. Actions can have an effect on the environment. The specific sensors and actuators affect what the agent is capable of perceiving and what actions it is capable of taking Environment Sensors Percepts Agent ? Actuators Actions Slide credit: ai.berkeley.edu

  7. Input/Output Agent Environment Agent Input Output Sensor Actuator Sensor Actuator ? Sensor Actuator

  8. Agent Examples Autonomous taxi In loop with environment? Sensors Input Output Actuators

  9. Agent Examples Chess In loop with environment? Sensors Input Output Actuators

  10. Agent Examples SPAM classifcation In loop with environment? Sensors Input Output Actuators

  11. Simple Input/Output Agent Agent Predicted Output ? Input

  12. Different Types of Input and Output Agent Predicted Output ? Input

  13. Input/Output Scavenger Hunt Shared Drive Folder/Lec3 https://drive.google.com/drive/folders/11aAngUK5sifAnK4izULqPC- Y0QnDfbqG

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