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<blockquote data-quote="Davin" data-source="post: 342759" data-attributes="member: 1183">Jamis,The more I read and think about this stuff, the more I'm thinking you'll need to proceed in one of three directions, depending on your tolerance for complexity and difficulty.&nbsp; (I'm guessing you'll want to aim for #2, vague though I may be about it.)<ol>
<li data-xf-list-type="ol">The first and easiest (logic-wise) method is something of a combination between an expert system and a simple AI.&nbsp; It would be based on an inference engine design and any implementation of code would be unexpectedly simple.&nbsp; Offsetting this would be that the data structure input would be extremely large and complex.&nbsp; You'd have a huge set of fuzzy rules that defined your problem (inputs, constraints, and goals) and the inference engine would simply handle connecting all that stuff together and evaluating results.&nbsp; Different problems would simply get a different (huge) rule set.</li>
<li data-xf-list-type="ol">The second possibility I see (but I don't have enough experience here to see clearly) is a &quot;pure math&quot; sort of solution.&nbsp; I know there are tremendously complex methods out there for actually calculating answers to problems of this complexity (though I don't know what they are offhand).&nbsp; But the basic concept here is to find and implement (even if just in theory) a mechansim that will deal with your problem.&nbsp; The problem itself would be defined by a large set of numeric and pseudo-numerical inputs to the algorithm, the creation of which would itself be a daunting challenge.</li>
<li data-xf-list-type="ol">Finally, the &quot;ultimate&quot; option is so extreme that others here have written it off as impossible (though it's not).&nbsp; However, it's a subject well beyond a Master's (or probably even a Doctoral) thesis.&nbsp; What I'm speaking of is a common-sense AI!&nbsp; Such things are being worked on, with some considerable success, but building such a framework takes man-decades and computer-years of work.&nbsp; Lest you think I jest, visit <a href="http://www.cyc.com" target="_blank">Cycorp (here)</a> and prepare to be astounded at what they've been doing for the last decade or two.&nbsp; I even see now that their site has changed from a &quot;pure research&quot; orientation to one that is now selling commercial &quot;knowledge&quot; products based on it.&nbsp; (I hope they still have some of their fundamental research concepts available for perusal.)&nbsp; You know... now that they're opening up to outside use of their system, maybe you could make use of their fundamental work by buying into it (probably not cheap!), if you could provide it enough &quot;common sense&quot; knowledge about your particular tasks of interest. 
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[QUOTE="Davin, post: 342759, member: 1183"] Jamis, The more I read and think about this stuff, the more I'm thinking you'll need to proceed in one of three directions, depending on your tolerance for complexity and difficulty. (I'm guessing you'll want to aim for #2, vague though I may be about it.) [list=1] [*]The first and easiest (logic-wise) method is something of a combination between an expert system and a simple AI. It would be based on an inference engine design and any implementation of code would be unexpectedly simple. Offsetting this would be that the data structure input would be extremely large and complex. You'd have a huge set of fuzzy rules that defined your problem (inputs, constraints, and goals) and the inference engine would simply handle connecting all that stuff together and evaluating results. Different problems would simply get a different (huge) rule set. [*]The second possibility I see (but I don't have enough experience here to see clearly) is a "pure math" sort of solution. I know there are tremendously complex methods out there for actually calculating answers to problems of this complexity (though I don't know what they are offhand). But the basic concept here is to find and implement (even if just in theory) a mechansim that will deal with your problem. The problem itself would be defined by a large set of numeric and pseudo-numerical inputs to the algorithm, the creation of which would itself be a daunting challenge. [*]Finally, the "ultimate" option is so extreme that others here have written it off as impossible (though it's not). However, it's a subject well beyond a Master's (or probably even a Doctoral) thesis. What I'm speaking of is a [b]common-sense AI![/b] Such things are being worked on, with some considerable success, but building such a framework takes man-decades and computer-years of work. Lest you think I jest, visit [URL=http://www.cyc.com]Cycorp (here)[/URL] and prepare to be astounded at what they've been doing for the last decade or two. I even see now that their site has changed from a "pure research" orientation to one that is now selling commercial "knowledge" products based on it. (I hope they still have some of their fundamental research concepts available for perusal.) You know... now that they're opening up to outside use of their system, maybe you [i]could[/i] make use of their fundamental work by buying into it (probably not cheap!), if you could provide it enough "common sense" knowledge about your particular tasks of interest. [/list=1][/list] [/QUOTE]

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