13 found
Sort by:
Disambiguations:
Ben Goertzel [12]Benjamin Goertzel [1]
  1. Benjamin Goertzel & Pei Wang (eds.) (forthcoming). Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms. Proceedings of the AGI Workshop 2008. Frontiers in Artificial Intelligence and Applications. IOS Press: Amsterdam.
    No categories
    Translate to English
    |
     
    My bibliography  
     
    Export citation  
  2. Ben Goertzel (2012). Should Humanity Build a Global AI Nanny to Delay the Singularity Until It's Better Understood? Journal of Consciousness Studies 19 (1):96.
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  3. Ben Goertzel (2012). When Should Two Minds Be Considered Versions of One Another? International Journal of Machine Consciousness 4 (01):177-185.
    No categories
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  4. Ben Goertzel & Matthew Ikle' (2012). Introduction. International Journal of Machine Consciousness 4 (01):1-3.
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  5. Ben Goertzel, Matt Iklé & Jared Wigmore (2012). The Architecture of Human-Like General Intelligence. In Pei Wang & Ben Goertzel (eds.), Theoretical Foundations of Artificial General Intelligence. Springer. 123--144.
    No categories
    Direct download  
     
    My bibliography  
     
    Export citation  
  6. Pei Wang & Ben Goertzel (eds.) (2012). Theoretical Foundations of Artificial General Intelligence. Springer.
    Pei Wang, Ben Goertzel. [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [ 18] [19] [20] [21] [22] [23] [24] [25] [26] [27] Bach, J. (2009). Principles ofSynthetic Intelligence PSI: An Architecture ofMotivated Cognition (Oxford University Press,  ...
    No categories
    Translate to English
    | Direct download  
     
    My bibliography  
     
    Export citation  
  7. Ben Goertzel (2011). Hyperset Models of Self, Will and Reflective Consciousness. International Journal of Machine Consciousness 3 (01):19-53.
  8. Ben Goertzel, Moshe Looks, Ari Heljakka & Cassio Pennachin (2007). Toward a Pragmatic Understanding of the Cognitive Underpinnings of Symbol Grounding. In R. Gudwin & J. Queiroz (eds.), Semiotics and Intelligent Systems Development. Idea Group Inc..
    No categories
    Direct download  
     
    My bibliography  
     
    Export citation  
  9. Ben Goertzel (1998). The Complex Mind/Brain—The Psynet Model of Mental Structure and Dynamics. Complexity 3 (4):51-58.
    No categories
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  10. Ben Goertzel (1995). Images in Search of a Theory. Behavioral and Brain Sciences 18 (2):347.
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  11. Ben Goertzel (1994). Some Thoughts on Akin's Spiteful Computer. Minds and Machines 4 (1):75-80.
    Akin''s determinism paradox involves a physical system that predicts its own behavior, and then spitefully defies it. Here this paradox is reformulated in purely computational language, in terms of virtual machines. The paradox is related to the theory of self-reproducing automata; and a mathematical conjecture is given which, if verified, would resolve the paradox.
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  12. Ben Goertzel (1993). Phase Transitions in Associative Memory Networks. Minds and Machines 3 (3):313-317.
    Ideas from random graph theory are used to give an heuristic argument that associative memory structure depends discontinuously on pattern recognition ability. This argument suggests that there may be a certain minimal size for intelligent systems.
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  13. Ben Goertzel (1992). What is Hierarchical Selection? Biology and Philosophy 7 (1):27-33.
    It has been proposed that natural selection occurs on a hierarchy of levels, of which the organismic level is neither the top nor the bottom. This hypothesis leads to the following practical problem: in general, how does one tell if a given phenomenon is a result of selection on level X or level Y. How does one tell what the units of selection actually are?It is convenient to assume that a unit of selection may be defined as a type of (...)
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation