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Ben Goertzel [27]Benjamin Goertzel [1]
  1.  13
    Chaotic Logic: Language, Thought, and Reality from the Perspective of Complex Systems Science.Ben Goertzel - 1994 - Springer Verlag.
    This is the first work to apply complex systems science to the psychological interplay of order and chaos. The author draws on thought from a wide range of disciplines-both conventional and unorthodox-to address such questions as the nature of consciousness, the relation between mind and reality, and the justification of belief systems. The material should provoke thought among systems scientists, theoretical psychologists, artificial intelligence researchers, and philosophers.
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  2.  36
    Artificial General Intelligence.Ben Goertzel & Cassio Pennachin (eds.) - 2006 - Springer Verlag.
    “Only a small community has concentratedon general intelligence. No one has tried to make a thinking machine... The bottom line is that we really haven’t progressed too far toward a truly intelligent machine. We have collections of dumb specialists in small domains; the true majesty of general intelligence still awaits our attack.... We have got to get back to the deepest questions of AI and general intelligence... ” –MarvinMinsky as interviewed in Hal’s Legacy, edited by David Stork, 2000. Our goal (...)
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  3. Nine Ways to Bias Open-Source AGI Toward Friendliness.Ben Goertzel & Joel Pitt - 2011 - Journal of Evolution and Technology 22 (1):116-131.
    While it seems unlikely that any method of guaranteeing human-friendliness on the part of advanced Artificial General Intelligence systems will be possible, this doesn’t mean the only alternatives are throttling AGI development to safeguard humanity, or plunging recklessly into the complete unknown. Without denying the presence of a certain irreducible uncertainty in such matters, it is still sensible to explore ways of biasing the odds in a favorable way, such that newly created AI systems are significantly more likely than not (...)
     
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  4. Contemporary Approaches to Artificial General Intelligence.Cassio Pennachin & Ben Goertzel - 2006 - In Ben Goertzel & Cassio Pennachin (eds.), Artificial General Intelligence. Springer Verlag. pp. 1-30.
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  5.  93
    Should Humanity Build a Global AI Nanny to Delay the Singularity Until It's Better Understood?Ben Goertzel - 2012 - Journal of Consciousness Studies 19 (1-2):96.
    Chalmers suggests that, if a Singularity fails to occur in the next few centuries, the most likely reason will be 'motivational defeaters' i.e. at some point humanity or human-level AI may abandon the effort to create dramatically superhuman artificial general intelligence. Here I explore one plausible way in which that might happen: the deliberate human creation of an 'AI Nanny' with mildly superhuman intelligence and surveillance powers, designed either to forestall Singularity eternally, or to delay the Singularity until humanity more (...)
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  6.  26
    The Evolving Mind.Ben Goertzel - 1993 - Psychology Press.
    First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.
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  7. Superintelligence: Fears, Promises and Potentials.Ben Goertzel - 2015 - Journal of Evolution and Technology 25 (2):55-87.
    Oxford philosopher Nick Bostrom; in his recent and celebrated book Superintelligence; argues that advanced AI poses a potentially major existential risk to humanity; and that advanced AI development should be heavily regulated and perhaps even restricted to a small set of government-approved researchers. Bostrom’s ideas and arguments are reviewed and explored in detail; and compared with the thinking of three other current thinkers on the nature and implications of AI: Eliezer Yudkowsky of the Machine Intelligence Research Institute ; and David (...)
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  8.  83
    Hyperset models of self, will and reflective consciousness.Ben Goertzel - 2011 - International Journal of Machine Consciousness 3 (01):19-53.
    A novel theory of reflective consciousness, will and self is presented, based on modeling each of these entities using self-referential mathematical structures called hypersets. Pattern theory is used to argue that these exotic mathematical structures may meaningfully be considered as parts of the minds of physical systems, even finite computational systems. The hyperset models presented are hypothesized to occur as patterns within the "moving bubble of attention" of the human brain and any roughly human-mind-like AI system. These ideas appear to (...)
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  9. Infusing Advanced AGIs with Human-Like Value Systems: Two Theses.Ben Goertzel - 2016 - Journal of Evolution and Technology 26 (1):50-72.
    Two theses are proposed; regarding the future evolution of the value systems of advanced AGI systems. The Value Learning Thesis is a semi-formalized version of the idea that; if an AGI system is taught human values in an interactive and experiential way as its intelligence increases toward human level; it will likely adopt these human values in a genuine way. The Value Evolution Thesis is a semi-formalized version of the idea that if an AGI system begins with human-like values; and (...)
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  10.  34
    Human-level artificial general intelligence and the possibility of a technological singularity.Ben Goertzel - 2007 - Artificial Intelligence 171 (18):1161-1173.
  11. Theoretical Foundations of Artificial General Intelligence.Pei Wang & Ben Goertzel (eds.) - 2012 - 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,  ...
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  12.  17
    Artificial General Intelligence and the Future of Humanity.Ben Goertzel - 2013 - In Max More & Natasha Vita-More (eds.), The Transhumanist Reader: Classical and Contemporary Essays on the Science, Technology, and Philosophy of the Human Future. Chichester, West Sussex, UK: Wiley-Blackwell. pp. 128–137.
    What will be the next huge leap in humanity's progress? We cannot know for sure, but I am reasonably confident that it will involve the radical extension of technology into the domain of thought. Ray Kurzweil (2000, 2005) has eloquently summarized the arguments in favor of this position.
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  13.  44
    When should two minds be considered versions of one another?Ben Goertzel - 2012 - International Journal of Machine Consciousness 4 (01):177-185.
  14.  18
    GenAI Model Security.Ken Huang, Ben Goertzel, Daniel Wu & Anita Xie - 2024 - In Ken Huang, Yang Wang, Ben Goertzel, Yale Li, Sean Wright & Jyoti Ponnapalli (eds.), Generative AI Security: Theories and Practices. Springer Nature Switzerland. pp. 163-198.
    Safeguarding GenAI models against threats and aligning them with security requirements is imperative yet challenging. This chapter provides an overview of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like finance, healthcare, and content creation. The narrative then shifts to exploring mitigation strategies and innovative security paradigms. Differential privacy, blockchain-based provenance, quantum-resistant algorithms, (...)
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  15.  68
    Introduction.Ben Goertzel & Matthew Ikle' - 2012 - International Journal of Machine Consciousness 4 (01):1-3.
  16.  36
    The Architecture of Human-Like General Intelligence.Ben Goertzel, Matt Iklé & Jared Wigmore - 2012 - In Pei Wang & Ben Goertzel (eds.), Theoretical Foundations of Artificial General Intelligence. Springer. pp. 123--144.
  17.  14
    Nine Ways to Bias Open‐Source Artificial General Intelligence Toward Friendliness.Ben Goertzel & Joel Pitt - 2014-08-11 - In Russell Blackford & Damien Broderick (eds.), Intelligence Unbound. Wiley. pp. 61–89.
    This chapter discusses nine ways to bias open‐source artificial general intelligence (AGI) toward friendliness. There is no way to guarantee that advanced AGI, once created and released into the world, will behave according to human ethical standards. The primary objective of the chapter is to suggest some potential ways to do so. First it discusses an engineer the capability to acquire integrated ethical knowledge, and provides rich ethical interaction and instruction, respecting developmental stages. The chapter creates stable, hierarchy‐dominated goal systems, (...)
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  18. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms. Proceedings of the AGI Workshop 2008. Frontiers in Artificial Intelligence and Applications.Benjamin Goertzel & Pei Wang (eds.) - forthcoming - IOS Press: Amsterdam.
  19.  38
    Images in search of a theory.Ben Goertzel - 1995 - Behavioral and Brain Sciences 18 (2):347-348.
    Images of mindis an exciting book, well-written and wellorganized, but many of the connections the authors draw between PET scan results and more general psychological issues are somewhat strained.
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  20.  50
    Phase transitions in associative memory networks.Ben Goertzel - 1993 - 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.
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  21.  27
    Surviving Death by Leslie Kean.Ben Goertzel - 2017 - Journal of Scientific Exploration 31 (3).
    Leslie Kean’s Surviving Death is a wonderfully readable, carefully constructed summary of the evidence for the existence of what is colloquially called an “afterlife.” That is, she considers evidence for the hypothesis that individual human minds and personalities possess an existence going beyond their attachment to any particular body – so that, for instance, an individual with a certain name and certain traits may sometimes continue to perceive and act, even when the body typically associated with that individual is dead (...)
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  22.  29
    Some thoughts on Akin's spiteful computer.Ben Goertzel - 1994 - 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.
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  23.  32
    Toward a pragmatic understanding of the cognitive underpinnings of symbol grounding.Ben Goertzel, Moshe Looks, Ari Heljakka & Cassio Pennachin - 2006 - In Ricardo Gudwin & Jo?O. Queiroz (eds.), Semiotics and Intelligent Systems Development. Idea Group.
  24.  15
    The complex mind/brain—The psynet model of mental structure and dynamics.Ben Goertzel - 1998 - Complexity 3 (4):51-58.
  25. The Novamente Artificial Intelligence Engine.Ben Goertzel & Cassio Pennachin - 2006 - In Ben Goertzel & Cassio Pennachin (eds.), Artificial General Intelligence. Springer Verlag. pp. 76-129.
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  26.  5
    The Structure of Intelligence: A New Mathematical Theory of Mind.Ben Goertzel - 1993 - Springer Verlag.
    0. 0 Psychology versus Complex Systems Science Over the last century, psychology has become much less of an art and much more of a science. Philosophical speculation is out; data collection is in. In many ways this has been a very positive trend. Cognitive science (Mandler, 1985) has given us scientific analyses of a variety of intelligent behaviors: short-term memory, language processing, vision processing, etc. And thanks to molecular psychology (Franklin, 1985), we now have a rudimentary understanding of the chemical (...)
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  27.  50
    What is hierarchical selection?Ben Goertzel - 1992 - 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 (...)
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  28.  27
    Generative AI Security: Theories and Practices.Ken Huang, Yang Wang, Ben Goertzel, Yale Li, Sean Wright & Jyoti Ponnapalli (eds.) - 2024 - Springer Nature Switzerland.
    This book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI’s profound impacts on cybersecurity. The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level security, and the emerging fields (...)
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