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  1.  65
    Emergence explained: Abstractions: Getting epiphenomena to do real work.Russ Abbott -2006 -Complexity 12 (1):13-26.
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  2.  269
    The reductionist blind spot.Russ Abbott -2008 -Complexity 14 (5):10-22.
    Can there be higher level laws of nature even though everything is reducible to the fundamental laws of physics? The computer science notion of level of abstraction explains how there can be.
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  3.  886
    The Bit (and Three Other Abstractions) Define the Borderline Between Hardware and Software.Russ Abbott -2019 -Minds and Machines 29 (2):239-285.
    Modern computing is generally taken to consist primarily of symbol manipulation. But symbols are abstract, and computers are physical. How can a physical device manipulate abstract symbols? Neither Church nor Turing considered this question. My answer is that the bit, as a hardware-implemented abstract data type, serves as a bridge between materiality and abstraction. Computing also relies on three other primitive—but more straightforward—abstractions: Sequentiality, State, and Transition. These physically-implemented abstractions define the borderline between hardware and software and between physicality and (...) abstraction. At a deeper level, asking how a physical device can interact with abstract symbols is the wrong question. The relationship between symbols and physical devices begins with the realization that human beings already know what it means to manipulate symbols. We build and program computers to do what we understand to be symbol manipulation. To understand what that means, consider a light switch. A light switch doesn’t turn a light on or off. Those are abstractions. Light switches don’t operate with abstractions. We build light switches, so that when flipped, the world is changed in such a way that we understand the light to be on or off. Similarly, we build computers to perform operations that we understand as manipulating symbols. (shrink)
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    Complex systems engineering: Putting complex systems to work.Russ Abbott -2007 -Complexity 13 (2):10-11.
  5.  38
    Putting complex systems to work.Russ Abbott -2007 -Complexity 13 (2):30-49.
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