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Artificial Intelligence Agents:
We introduced what we'll be conversation about in Artificial Intelligence and why those things are necessary. This discussion is of course about why and how we will be talking about "AI", i.e., the language, assumptions and concepts which will be common to all the topics we cover.
These notions should be considered before undertaking any large "AI" project. Hence, this lecture also serves to add to the systems engineering information you have/will be studying. For "AI" software/hardware, obviously, we have to think about which programming concept to use that have certain logics, and how to split the project into modules, etc. However, we also have to think about higher level notions and planning, like: what does it purpose and why it is valuable for our program/machine to act rationally in a particular direction, how will it use knowledge about the surrounding areas, and what form of knowledge will take?? All these things should be taken into consideration before we think about actually doing any programming or concept.
Learning algorithm for multi-layered networks: Furthermore details we see that if S is too high, the contribution from w i * x i is reduced. It means that t(E) - o(E) is mu
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