AgentDefinition

context:

Dennett's intentional stance[5]

Mc Carthy: "To ascribe certain beliefs, free will, intentions, consciousness, abilities or wants to a machine or computer program is LEGITIMATE when such an ascription expresses the same information about the machine that it expresses about a person. It is USEFUL when the ascription helps us understand the structure of the machine, its past or future behaviour, or how to repair or improve it. It is perhaps never LOGICALLY REQUIRED even for humans, but expressing reasonably briefly what is actually known about the state of the machine in a particular situation may require mental qualities [...]. Ascription of mental qualities is MOST STRAIGHTFORWARD for machines of known structure such as thermostats and computer operating systems, but is MOST USEFUL when applied to entities whose structure is very incompletely known."

definition:

Jennings et al: "An agent is a computer system, situated in some environment, that is capable of flexible autonomous action in order to meet its design objectives."

Therefore:

The R&N book uses PEAS: Performance measure (P), Environment (E), Actuators (A), Sensors (S) to describe the task environment and the agent's requirements.

AgentOverview

conclusion: Agents: why?

BUT: exercises and discussion:

references:

back to SoftwareAgentCourse
(last edited January 26, 2022)
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