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Introduction to Intelligent Agents and Search Strategies in AI
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  • Course
  • Applied AI
  • Institution
  • University Of Westminster (UOW)

The document is a lecture on intelligent agents and environments in artificial intelligence, focusing on how agents perceive and interact with their surroundings to achieve goals. It introduces different types of agents (e.g., reflex, goal-based) and environments (e.g., deterministic, stochastic), ...

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Document information

  • September 27, 2024
  • 49
  • 2023/2024
  • Class notes
  • Artie
  • Year 4

Subjects

  • agentsenvironment intelligent agents

Written for

  • University of Westminster (UOW)
  • Unknown
  • Applied AI
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Applied AI
Lecture 2
Agents and Environments
Dr Artie Basukoski




[slides adapted from Artificial Intelligence: A Modern Approach, Russel an

,Agenda

• Agents and environments
• Types of agents
• Representing problems
• Selecting a state space
• Tree search algorithms
• Breadth first search
• Depth first search

,Intelligent agents
• Identify the concept of an intelligent agent.
• Develop a small set of design principles for building successful agen
• Agents should be rational – one that does the right thing.
• Behaviour depends on the environment and the goals that we defi
for the agents.
• We define a number of basic agent designs.
• Agent = Architecture + Program

, Agents and environments
sensors

percepts
?
environment
agent
actions


actuators

Agents include humans, robots, softbots, thermostats, etc.
The agent function maps from percept histories to actions:

f : P∗ → A

The agent program runs on the physical architecture to produce f

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