Abstract
Stuart Russell [14] describes rational agents as “those that do the right thing”. The problem of designing a rational agent then becomes the problem of figuring out what the right thing is. There are two approaches to the latter problem, depending upon the kind of agent we want to build. On the one hand, anthropomorphic agents are those that can help human beings rather directly in their intellectual endeavors. These endeavors consist of decision making and data processing. An agent that can help humans in these enterprises must make decisions and draw conclusions that are rational by human standards of rationality. Anthropomorphic agents can be contrasted with goal-oriented agents — those that can carry out certain narrowly-defined tasks in the world. Here the objective is to get the job done, and it makes little difference how the agent achieves its design goal.
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Pollock, J.L. (2000). Rational Cognition in OSCAR. In: Jennings, N.R., Lespérance, Y. (eds) Intelligent Agents VI. Agent Theories, Architectures, and Languages. ATAL 1999. Lecture Notes in Computer Science(), vol 1757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10719619_6
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