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This wiki is a host to Jason Lind's thesis on the definition of artificial intelligence. The thesis is posed in the terms of Boolean logic expressing the equality of Artificial Intelligence and Ideal Organization Theory (IOT). IOT describes a classification system that structures the interaction of self-determining actors. The author contends that the equation is a proof of this equality, however recognizes that most readers will not see it that way and will likely consider this pure conjecture.
By clicking on a term in the equation a page describing the term in the author's words, along with related quotes from giants in the field, will appear. A reader is welcome to contact Jason Lind at lind@yahoo.com if they have any questions.
Understand the author is not an academic and understands that this method of communication is not accepted practice in any field; however imperfect it may be under the circumstances it is the best we have. If there is a format that the reader would find better the author is open to suggestions.
ThesisEdit
In the unwavering and literal terms of set theory, economic theory and information theory; for all sets, under all conditions where the actors have self-determination the author poses:
Artificial Intelligence = Finite interaction is optimized through oligopical competition, whereas non-finite processes are optimized by the free market. Formal organizational group structure therefore must be oligopical, but their interaction must be free. The individual is a monopoly. Q.E.D.
To be considered finite, the options for interaction must be wholly understandable by all actor’s involved, otherwise it is by definition a non-finite process that while modelable, is not usable to the individual actors in real-time. Finite interaction is optimized through classic game theory oligopical competition, where the players are able to use their opponents strategy as part of their own game play (see Nash’s work). This key component of oligopical strategy is unavailable if the current positional information is not fully accessible to the player, in which case the marketplace must revert to a classic free market (see Smith’s work) strategy to optimize the resulting position.
An optimized marketplace would therefore have organizations formed only to the extent of their oligopical optimization and then utilize the free market for the interaction. Players by definition have self-determination and have monopolies over their-own actions. Real organizational structure is not only manifested conceptually but in reality as well. These structures then act in conjunction with the source abstraction to create artificial intelligence on the system itself.
This could also be called “Ideal Organizational Theory” as it is the contention that the classification of sets, involving self-determining actors, cannot be optimized further than the thesis.
P = NP if Artificial Intelligence is NP-Complete.
Connection to P versus NPEdit
Despite the vast amounts of computing power available to researchers today, only rudimentary artificial intelligence has been achieved. This would indicate that the problem of artificial intelligence is in NP as a deterministic solution would likely have been found by now. The right side of the above equation describes a P algorithm that optimizes self-determining actors to the extent that their collection becomes artificially intelligent.
The author contends demonstrating the above equation is true will not only demonstrate what real artificial intelligence is, but that the deep mathematical connections will prove that P=NP.
ArgumentsEdit
The thesis is posed as an equation of words, words which have deep mathematical and philosophical meaning. The author has provided a brief description of the underlying meaning of each term in the equation, the reader should click each word for more information.
Ideal Organization TheoryEdit
The right side of the equation can be called ideal organization theory and describes how to build the optimal organizational ecosystem. This silently combines efficient market hypothesis with federalism to create a dynamic environment where the actors are not stifled, but are still able to be lead. Oligopoly is a word with negative connotations, however in this context it refers to collaboration, something that is abstracted, and largely absent, in a pure free market environment.
The individual actors need not be classified as intelligent, they simply require self-determination. Randomness is a form of self-determination; in fact on a quantum state it seems that everything is random which means the very constructs of our own minds are random. Only at higher levels does order, and apparent intelligence, present itself. Whether what we consider the laws of nature hard science or intelligent design remains a contentious issue, this theory suggests that through pure number theory intelligence will emerge.
Artificial IntelligenceEdit
On the right side of the equation is artificial intelligence , and all that that means. By saying AI is the same as Ideal Organization Theory the author poses that the current understanding of how to bring about true AI is hopelessly flawed.
P = NPEdit
Ideal Organization Theory is a P algorithm for forming organizations whereas artificial intelligence is probably NP-Complete. If this equation is demonstrated to be true, and artificial intelligence is in NP-Complete, then P = NP.
Proof FormatEdit
The proof for this is in a strange format, as this is extremely complex and, while it may be possible to prove in a traditional method, the author is simply incapable of doing so. It is first written to be placed on Wikipedia, this is actually an important concept of the proof as the model itself suggests that Wikipedia is the best place for this proof to reside so that it can rapidity receive the peer review. Since Wikipedia is a highly optimized organization according to the model, if the mere existence of it on Wikipedia inspired large scale review and challenges to this proof than that itself is proof of this optimization.