Intelligent Systems - Rationality of Agents

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Intelligent Systems
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An agent that senses only partial information about the state cannot be perfectly rational.
(Page 31)
This statement is false. It would be unwise to judge an agent on not acting rational for only
having partial data since it could only act on what it perceives and thus acting rational as much as
much as it possibly can for having some variables which is not accounted for by no fault of its
own (Russell and Norvig, 2016). For each of the potential percept series, the rational agent
should choose an activity that is anticipated to increase its performance measure, presented
evidence which is provided by percept sequence and no matter what built-in information the
agent has (Russell and Norvig, 2016).
There exist task environments in which no pure reflex agent can behave rationally. (Pages
40-41)
This statement is true. Pure reflex agent generally ignores on the earlier percepts, hence, could
not obtain an optimal state estimation in a particular partial perceptible environment (Russell and
Norvig, 2016). For instance, correspondence chess is presented out by providing particular
moves; in the event the other players change is present percept, a reflex agent might not maintain
some track of the board state and may have to respond to, for instance a4, in the means
regardless of the position that has been played (Russell and Norvig, 2016).
There exists a task environment in which every agent is rational. (Pages 32-33)
This statement is true. When it comes to an environment that has a single state, for example all
the actions which have the same reward, it might not matter which action are taken (Russell and
Norvig, 2016). Moreover, any environment that is incentive invariant under the permutation to
the actions would certainly satisfy this property (Russell and Norvig, 2016). It is important to