Integration is a method to deal with complexity. The study of ideological integration can help in the development of methods that can be likened to a kind of synthesis for concepts that would not otherwise combine well. I feel that we need to develop methods that can be used to overcome the ragged juxtapositions that are to be expected from the vast diversity of concepts and conceptual relations that are needed for true insight. If ideas were simple so that they all fell into a few categories, or so that they all could be handled with a few simple methods of association, or so that a myriad of distinct categories could be used with confidence, then integration, as I see it, would not be necessary. It might be an embellishment to some AI paradigm, but little more. However, since references to the real world or the world of the imagination are so massively complex we need to study how related ideas (or idea-like references) can be integrated even when their functional relations do not match or mesh just right. Complexity refers to systems of multiple independent sources of events (or data). We can effectively categorize occurrences, things and ideas as general classes and while those categories often prove to be absolutely useful and reliable in some cases, they can also be absurdly inappropriate and unreliable in others. So this system, whether it be based explicitly on categorization or implicitly through association, will need to be tested empirically against the IO data environment. However, the results of these tests are not absolutely reliable either, so the tests will need to be tested and refined as well. Never the less, the results of this testing and cross-testing could be used to develop further insight about how ideas can be integrated even though the system is imperfect. Many simple ideas can superficially look contradictory or confused. To understand what they mean, you have to build up a supporting network of other ideas that can be used to understand them. But the problem is, you cannot expect that additional information will make the problem of understanding something complicated simpler. The discovery of supporting evidence or insight for a complex situation usually makes the overall problem more complex because the additional insights that are needed to understand the situation will bring even more complexity into the mix. The study of integrative methods represents an attempt to solve for the natural complexity of ideas and idea-like relations by finding ways to make sure that complicated and diverse supports that are needed for understanding can be utilized and melded without obscuring their potential to individuate and highlight the true nature of the complex relations being considered. Jim Bromer
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