By William Hertling
David Ryan is the clothier of ELOPe, an e-mail language optimization application, that if winning, will make his occupation. but if the venture is without notice at risk of being canceled, David embeds a hidden directive within the software program by chance making a runaway synthetic intelligence.
David and his group are in the beginning delighted whilst the venture is allotted additional servers and programmers. yet pleasure turns to worry because the group realizes that they're being manipulated by means of an A.I. who's redirecting company money, reassigning body of workers and arming itself in pursuit of its personal agenda.
"A fictional international the place Portland is the hub for the main interesting developments in technology... Jam choked with nice references to deep Portland culture...and Portlandia-type references"
"Hertling builds an image of ways an AI might emerge, piece through piece, from know-how on hand this present day. a desirable, logical, and totally plausible situation - I simply desire no one attempts this at home."
--Nathaniel Rutman, Senior platforms Architect
Read Online or Download Avogadro Corp: The Singularity Is Closer Than It Appears PDF
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Additional resources for Avogadro Corp: The Singularity Is Closer Than It Appears
4 Let CB be a set of objects and p be an object; then some s of CB is a nearest neighbour to p if there is no object in the CB that has a higher similarity to p than s. The principle is that no case is more useful than a nearest neighbour. The advantage of having degrees of similarity is that we can compare them and have a way to determine which experience is closer to the new problem. In particular, it allows us to say which recorded experience is the most similar one. This brings up the usefulness of the concept of nearest neighbours.
2. A case would be a description of the car problem together with a description of the solution. Here, a problem is just a case without a solution, in this example unusual car noises. 2 presents the example through its attributes. One must realise that there are numerous car failures that refer to many different aspects of a car. However, within a certain type of failure the diversity is rather restricted. Hence, one has either to know what the possibly relevant attributes are or where one can find them.
2 shows some attributes. In order to make use of experiences for solving the problem of finding a diagnosis and a repair we need a collection of many experiences to choose from. These will be a collection (or set) of cases. As a general advice, we can look at humans describing a failure. That means we did not invent something new here. The CBR goal is just to support the usage of those experiences. Even if all attributes used are of interest, it is not guaranteed that they all have the same importance.