Intelligence Agents. (Chapter 2). An Agent in its Environment. AGENT. action output. Sensor Input. ENVIRONMENT. Agent Environments. accessible (get complete state info) vs inaccessible environment (most real world environments)
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[chess vs. taxi driving]
Purely Reactive agents are simple processing units that perceive and react to changes in their environment. Such agents do not have a symbolic representation of the world and do not use complex symbolic reasoning.
Intelligence is seen as an emergent property of the entire activity of the system, the model trying to mimic the behaviour of large communities of inferior living beings, such as the communities of insects.
intentional systems, namely systems “whose behaviour can be predicted by the method of attributing belief, desires and rational acumen” (Dennett, 1987).
Ag is the set of all agents which perform actions based on entire history of the system. Notice that the agent is deterministic (even though environment is not).
1. if obstacle then change direction
2. if carrying samples and at basethen drop them
4. if detect sample then pick it up
The Utility Theorem simply says that if an agent has a preference relation that satisfy the axioms of preference then a real-valued utility function can be constructed that reflects this preference relation.
The notation [p,A; 1−p,B] denotes a lottery where,
with probability p, the option A is won and
with probability 1 − p the option B is won.
Example continued. In the set of possible jobs, Microsoft is most preferred and McDonald’s is least preferred. Suppose that I choose the following values for each option: