Artificial Inteligence

In: Computers and Technology

Submitted By jonathan2012
Words 887
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Pursing frontiers of Knowledge

ICT 352 Artificial Intelligence and Prolog
Topic: Intelligent Agents
Lecturer: M. Simfukwe
Monday, 20 May, 2013

• Agents and environments
• Rationality
• PEAS (Performance measure,
Environment, Actuators, Sensors)
• Environment types
• Agent types

• An agent is any system that gets in some input and processes it to get some output.
• Software agents in classical computer science • Hardware agents (robots), with sensors and actuators.

• An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators
• Percept refers to agents perceptual inputs
• Percept sequence: Complete history of everything the agent has perceived and stored in KB.
• Performance Measure: Criterion for success for agent.

Agents (cont..)
• Rationality: determined by 4 factors
1.performance measure
2.prior knowledge of environment
3.actions that the agent can perform
4.percept sequence to date.

Rational Agent: For each possible percept sequence, a rational agent should select an action that is expected to maximize its performance measure, given the evidence provided by percept sequence and whatever built-in knowledge the agent has.

Agents and environments

• The agent function maps from percept histories to actions:
[f: P* A]

Vacuum-cleaner world

• Percepts: location and contents, e.g.,
• Actions: Left, Right, Suck, NoOp

Vacuum-cleaner world

• PEAS: Performance measure,
Environment, Actuators, Sensors
• Consider, e.g., the task of designing an automated taxi driver: o o o o

Performance measure

• Must first specify the setting for an intelligent agent design
• Consider, e.g., the…...

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