Artificial Intelligence Intelligent Agents Dr M Tanvir Afzal

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Artificial Intelligence Intelligent Agents Dr. M. Tanvir Afzal

Artificial Intelligence Intelligent Agents Dr. M. Tanvir Afzal

Intelligent Agents Agent ü Much of the research in artificial intelligence can be categorized

Intelligent Agents Agent ü Much of the research in artificial intelligence can be categorized in terms of an agent’s behavior. ü An agent is a “device” that responds to stimuli from its environment. It is natural to envision an agent as an individual machine such as a robot. 2

Intelligent Agents Agent Examples ü Agent may take other forms such as an autonomous

Intelligent Agents Agent Examples ü Agent may take other forms such as an autonomous airplane, a character in an interactive video game, or a process communicating with other processes over the Internet (perhaps as a client, a server, or a peer) 3

Intelligent Agents Data Acquisition – Agent ü Most agents have sensors by which they

Intelligent Agents Data Acquisition – Agent ü Most agents have sensors by which they receive data from their environments and actuators by which they can affect their environments. 4

Intelligent Agents Sensor Examples ü Microphones ü Cameras ü Range sensors ü Air or

Intelligent Agents Sensor Examples ü Microphones ü Cameras ü Range sensors ü Air or soil sampling devices 5

Intelligent Agents Actuators Examples ü Wheels ü Legs ü Wings ü Grippers ü Speech

Intelligent Agents Actuators Examples ü Wheels ü Legs ü Wings ü Grippers ü Speech synthesizers 6

Intelligent Agents AI Research ü Can be characterized in the context of building agents

Intelligent Agents AI Research ü Can be characterized in the context of building agents that behave intelligently, meaning that the actions of the agent’s actuators must be rational responses to the data received though its sensors. ü Levels of responses 7

Intelligent Agents Levels of Responses ü Simplest response is a reflex action – predefined

Intelligent Agents Levels of Responses ü Simplest response is a reflex action – predefined action ü Intelligent Actions – Adjust actions according to environment knowledge. ü The process of throwing a baseball is largely a reflex action but determining how and where to throw the ball requires knowledge of the current environment. 8

Intelligent Agents Levels of Responses ü In some cases, an agent responses improve over

Intelligent Agents Levels of Responses ü In some cases, an agent responses improve over time as the agent learns. This could take the form of developing procedural knowledge (learning “how”) or storing declarative knowledge (learning “what”). 9

Intelligent Agents Example 10

Intelligent Agents Example 10

Summary Intelligent Agent ü Agent and Examples ü Data Acquisition ü Sensor ü Actuators

Summary Intelligent Agent ü Agent and Examples ü Data Acquisition ü Sensor ü Actuators ü Response Level ü Working Example 11