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We will, however, have some suggestions as to gross characteristics that might be explored experimentally. The pressure towards bounded optimality generates a good deal of complexity in the structure of intelligent agent architectures. In this book several concepts intertwine to produce a vague but tantalizing outline of such an architecture. We distinguished carefully between the specification and implementation of agents, and between the specification of the 'agent function' — that is, which actions the agent should select — and the optimization of agent behaviour, which includes the process of calculating the agent function.

5 Historical background These ideas have a fairly lengthy and varied pedigree. A long tradition of considering the effects of boundedness on decision-making exists in economics and the decision sciences, where human characteristics must sometimes be considered. 1 Simon's "Bounded Rationality" In the field of economics, Simon (1982) made clear the distinction between systems that undertake some reasonable deliberation to select actions (procedural rationality), and systems that somehow (perhaps by magic) select the objectively rational action (substantive rationality).

Copyrighted Material 20 Chapter 1 form that influences the agent's behaviour in the appropriate way. But in general, and especially for autonomous agents, it seems that performance feedback from the environment must be essentially non-representational. The agent is not given goal descriptions or explicit utility functions by the environment, only a series of point values from the external performance metric In this way, the environment does not need to know the agent's representation scheme in order to 'train' it, just as we do not need to know the representation schemes of cats or seals.

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