Artificial Intelligence for Computer Gaming Agents

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Artificial Intelligencefor Computer GamingAgents

• G. Michael Youngblood, Ph.D.
• Computer Science
• UNC Charlotte

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Agent Rationality

• Rational behavior
• Doing the right thing---that which is expected to
  maximize goal achievement given the available
  information
• A rational agent chooses whichever action
  maximizes the expected value of the performance
  measure given the percept sequence to date
• Rational ? omniscent
• Percepts may not supply all relevant information
• Rational ? clairvoyant
• Action outcomes may not be as expected
• Hence, rational ? successful
• Rational ? exploration, learning, autonomy

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PEAS
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Internet Shopping Agent
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Environment Types
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Agent Types

• Four basic types in order of increasing
  generality
• simple reflex agents
• reflex agents with state
• goal-based agents
• utility-based agents
• All these can be turned into learning agents

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Simple Reflex Agents
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Reflex Agents With State
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Goal-based Agents
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Utility-based Agents
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Learning Agents
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Spectrum of AI Techniques
Reactive
Deliberative

• Reactive
• showing a response to a stimulus
• Deliberative
• relating to or intended for consideration

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fin.