Engineering General Intelligence, Part 1
暂无分享,去创建一个
[1] Heike Freud,et al. Seven Clues To The Origin Of Life A Scientific Detective Story , 2016 .
[2] Monika Richter,et al. Cognition In The Wild , 2016 .
[3] Zhiping P. Pang,et al. Regulation of synaptic functions in central nervous system by endocrine hormones and the maintenance of energy homoeostasis , 2012, Bioscience reports.
[4] Timothy B. Rowe,et al. Fossil Evidence on Origin of the Mammalian Brain , 2011, Science.
[5] J. Morton,et al. Sustained quantum coherence and entanglement in the avian compass. , 2009, Physical review letters.
[6] Cassio Pennachin,et al. Glocal memory: A critical design principle for artificial brains and minds , 2010, Neurocomputing.
[7] Alexei V. Samsonovich,et al. Toward a Unified Catalog of Implemented Cognitive Architectures , 2010, BICA.
[8] Ben Goertzel,et al. A General Intelligence Oriented Architecture for Embodied Natural Language Processing , 2010, AGI 2010.
[9] Ben Goertzel. Toward a Formal Characterization of Real-World General Intelligence , 2010, AGI 2010.
[10] S. Hameroff,et al. The “conscious pilot”—dendritic synchrony moves through the brain to mediate consciousness , 2009, Journal of biological physics.
[11] Miri Visiting Fellow,et al. Coherent Extrapolated Volition: A Meta-Level Approach to Machine Ethics , 2010 .
[12] Itamar Arel,et al. DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition , 2009, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.
[13] Carmel Domshlak,et al. Grid-based SensorDCSP , 2009, IJCAI.
[14] P. Strick,et al. Cerebellum and nonmotor function. , 2009, Annual review of neuroscience.
[15] Ben Goertzel,et al. The Embodied Communication Prior: A characterization of general intelligence in the context of Embodied social interaction , 2009, 2009 8th IEEE International Conference on Cognitive Informatics.
[16] Pierre-Yves Oudeyer,et al. Robust intrinsically motivated exploration and active learning , 2009, 2009 IEEE 8th International Conference on Development and Learning.
[17] Bernard J. Baars,et al. CONSCIOUSNESS IS COMPUTATIONAL: THE LIDA MODEL OF GLOBAL WORKSPACE THEORY , 2009 .
[18] Ronald C. Arkin,et al. Governing Lethal Behavior in Autonomous Robots , 2009 .
[19] Itamar Arel,et al. Beyond the Turing Test , 2009, Computer.
[20] J. Bach,et al. Principles of Synthetic Intelligence: Psi: An Architecture of Motivated Cognition , 2009 .
[21] John R. Anderson,et al. SAL: an explicitly pluralistic cognitive architecture , 2008, J. Exp. Theor. Artif. Intell..
[22] Giulio Sandini,et al. The iCub humanoid robot: an open platform for research in embodied cognition , 2008, PerMIS.
[23] Bradford McCall. In the Theater of Consciousness: The Workspace of the Mind , 2008 .
[24] Frederic Kaplan. Neurorobotics: An Experimental Science of Embodiment , 2008, Front. Neurosci..
[25] Ben Goertzel,et al. An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life , 2008, AGI.
[26] Stephen M. Omohundro,et al. The Basic AI Drives , 2008, AGI.
[27] Wlodzislaw Duch,et al. Cognitive Architectures: Where do we go from here? , 2008, AGI.
[28] Ben Goertzel,et al. OpenCog: A Software Framework for Integrative Artificial General Intelligence , 2008, AGI.
[29] Ben Goertzel,et al. A pragmatic path toward endowing virtually-embodied AIs with human-level linguistic capability , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[30] M. Tomasello,et al. Does the chimpanzee have a theory of mind? 30 years later , 2008, Trends in Cognitive Sciences.
[31] C. Koch,et al. Sparse but not ‘Grandmother-cell’ coding in the medial temporal lobe , 2008, Trends in Cognitive Sciences.
[32] Ben Goertzel,et al. XIA-MAN: An Extensible, Integrative Architecture for Intelligent Humanoid Robotics , 2008, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.
[33] Robert K. Logan. 3. The Extended Mind Model of the Origin of Language , 2007 .
[34] T. Rogers,et al. Where do you know what you know? The representation of semantic knowledge in the human brain , 2007, Nature Reviews Neuroscience.
[35] Shane Legg,et al. Universal Intelligence: A Definition of Machine Intelligence , 2007, Minds and Machines.
[36] Mark H. Lee,et al. Staged Competence Learning in Developmental Robotics , 2007, Adapt. Behav..
[37] Mark H. Lee,et al. Developmental learning for autonomous robots , 2007, Robotics Auton. Syst..
[38] Subhojit Chakraborty,et al. Differential dynamics of transient neuronal assemblies in visual compared to auditory cortex , 2007, Experimental Brain Research.
[39] Benjamin Kuipers,et al. Autonomous Development of a Grounded Object Ontology by a Learning Robot , 2007, AAAI.
[40] Peter Stone,et al. Cross-domain transfer for reinforcement learning , 2007, ICML '07.
[41] Jie-Qi Chen,et al. Bridging: Assessment for Teaching and Learning in Early Childhood Classrooms, PreK-3. , 2007 .
[42] D. Witherington,et al. The Dynamic Systems Approach as Metatheory for Developmental Psychology , 2007, Human Development.
[43] Stuart C. Shapiro,et al. Metacognition in SNePS , 2007, AI Mag..
[44] Leslie Pack Kaelbling,et al. Logical Particle Filtering , 2007, Probabilistic, Logical and Relational Learning - A Further Synthesis.
[45] Jürgen Schmidhuber,et al. Gödel Machines: Fully Self-referential Optimal Universal Self-improvers , 2007, Artificial General Intelligence.
[46] F. Heylighen. The Global Superorganism: An Evolutionary-cybernetic Model of the Emerging Network Society , 2007 .
[47] Nicholas L. Cassimatis. Adaptive Algorithmic Hybrids for Human-Level Artificial Intelligence , 2006, AGI.
[48] Shane Legg,et al. A Collection of Definitions of Intelligence , 2007, AGI.
[49] Sebastian Thrun,et al. Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.
[50] Pei Wang,et al. Rigid Flexibility: The Logic of Intelligence , 2006 .
[51] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[52] Jon Williamson,et al. Combining Argumentation and Bayesian Nets for Breast Cancer Prognosis , 2006, J. Log. Lang. Inf..
[53] Andrew G. Barto,et al. An intrinsic reward mechanism for efficient exploration , 2006, ICML.
[54] Ben Goertzel,et al. Using Dependency Parsing and Probabilistic Inference to Extract Relationships between Genes, Proteins and Malignancies Implicit Among Multiple Biomedical Research Abstracts , 2006, BioNLP@NAACL-HLT.
[55] Pierre-Yves Oudeyer,et al. Discovering communication , 2006, Connect. Sci..
[56] Jürgen Schmidhuber,et al. Quasi-online reinforcement learning for robots , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[57] Marcus Hutter,et al. Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability (Texts in Theoretical Computer Science. An EATCS Series) , 2006 .
[58] Péter Csermely,et al. Weak links : stabilizers of complex systems from proteins to social networks , 2006 .
[59] F. Craik,et al. The Oxford handbook of memory , 2006 .
[60] Nils J. Nilsson,et al. The Physical Symbol System Hypothesis: Status and Prospects , 2006, 50 Years of Artificial Intelligence.
[61] G. Edelman,et al. Principles Underlying the Construction of Brain-Based Devices , 2006 .
[62] B. Kokinov,et al. TOWARDS ACTIVE VISION IN THE DUAL COGNITIVE ARCHITECTURE , 2006 .
[63] Stan Franklin,et al. THE LIDA ARCHITECTURE: ADDING NEW MODES OF LEARNING TO AN INTELLIGENT, AUTONOMOUS, SOFTWARE AGENT , 2006 .
[64] Saint Louis,et al. Competent Program Evolution , 2006 .
[65] P. Hitzler,et al. Dimensions of Neural-symbolic Integration - A Structured Survey , 2005, We Will Show Them!.
[66] Pat Langley,et al. An Adaptive Architecture for Physical Agents , 2005, Web Intelligence.
[67] Guang Li,et al. Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions , 2005, ICNC.
[68] N. Spruston,et al. Postsynaptic depolarization requirements for LTP and LTD: a critique of spike timing-dependent plasticity , 2005, Nature Neuroscience.
[69] C. Koch,et al. Invariant visual representation by single neurons in the human brain , 2005, Nature.
[70] Philip Bille,et al. A survey on tree edit distance and related problems , 2005, Theor. Comput. Sci..
[71] J. Elman. Distributed Representations, Simple Recurrent Networks, And Grammatical Structure , 1991, Machine Learning.
[72] Thomas G. Dietterich,et al. Transfer Learning with an Ensemble of Background Tasks , 2005, NIPS 2005.
[73] Bram Bakker,et al. Hierarchical Reinforcement Learning Based on Subgoal Discovery and Subpolicy Specialization , 2003 .
[74] F Chessa,et al. Enough: staying human in an engineered age , 2004, Journal of Medical Ethics.
[75] Nuttapong Chentanez,et al. Intrinsically Motivated Reinforcement Learning , 2004, NIPS.
[76] Nicholas L. Cassimatis. Grammatical Processing Using the Mechanisms of Physical Inference , 2004 .
[77] J. Armour,et al. Cardiac neuronal hierarchy in health and disease. , 2004, American journal of physiology. Regulatory, integrative and comparative physiology.
[78] Xi Zhang,et al. Top-down versus bottom-up learning in cognitive skill acquisition , 2004, Cognitive Systems Research.
[79] S. Shieber. Subcognition and the Limits of the Turing Test , 2004 .
[80] Ben Goertzel,et al. NOVAMENTE: An Integrative Architecture for Artificial General Intelligence , 2004 .
[81] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[82] C. Lebiere,et al. The Newell Test for a theory of cognition , 2003, Behavioral and Brain Sciences.
[83] Gerald DeJong,et al. The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping , 2003, ICML.
[84] Joy Bill,et al. Why the future doesn’t need us , 2003 .
[85] T. Ben-David,et al. Exploiting Task Relatedness for Multiple , 2003 .
[86] Stuart C. Shapiro,et al. Crystal Cassie: Use of a 3-D Gaming Environment for a Cognitive Agent , 2003 .
[87] Juyang Weng,et al. Dav: a humanoid robot platform for autonomous mental development , 2002, Proceedings 2nd International Conference on Development and Learning. ICDL 2002.
[88] S. S. Adams,et al. Beyond the Turing test: performance metrics for evaluating a computer simulation of the human mind , 2002, Proceedings 2nd International Conference on Development and Learning. ICDL 2002.
[89] Mark Buchanan. Small World : Uncovering Nature's Hidden Networks , 2002 .
[90] G. Fauconnier,et al. The Way We Think: Conceptual Blending and the Mind''s Hidden Complexities. Basic Books , 2002 .
[91] Ben Goertzel,et al. Creating Internet Intelligence , 2002 .
[92] Solomon L. Moshé. The Private Life of the Brain , 2001 .
[93] Aaron Sloman,et al. Varieties of Affect and the CogAff Architecture Schema , 2001 .
[94] G. Bi,et al. Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.
[95] A. Damasio. The feeling of what happens , 2001 .
[96] Amos J. Storkey,et al. The basins of attraction of a new Hopfield learning rule , 1999, Neural Networks.
[97] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[98] H. Gardner. Intelligence Reframed: Multiple Intelligences for the 21st Century , 1999 .
[99] Michael Lamport Commons,et al. Hierarchical Complexity of Tasks Shows the Existence of Developmental Stages , 1998 .
[100] James S. Albus. Engineering Intelligent Systems , 1997 .
[101] B. Goertzel. From complexity to creativity: explorations in evolutionary, autopoietic, and cognitive dynamics , 1997 .
[102] J. Elman,et al. Rethinking Innateness: A Connectionist Perspective on Development , 1996 .
[103] Valentin F. Turchin. Supercompilation: Techniques and Results , 1996, Ershov Memorial Conference.
[104] D. Lewkowicz,et al. A Dynamic Systems Approach to the Development of Cognition and Action , 2007, Journal of Cognitive Neuroscience.
[105] Donald MacKenzie,et al. The automation of proof: a historical and sociological exploration , 1995, IEEE Ann. Hist. Comput..
[106] Sebastian Thrun,et al. Lifelong robot learning , 1993, Robotics Auton. Syst..
[107] Douglas R. Hofstadter,et al. Fluid Concepts and Creative Analogies , 1995 .
[108] K. McDermott,et al. Creating false memories: Remembering words not presented in lists. , 1995 .
[109] S. Hochreiter,et al. REINFORCEMENT DRIVEN INFORMATION ACQUISITION IN NONDETERMINISTIC ENVIRONMENTS , 1995 .
[110] Stanley N. Salthe,et al. Development and Evolution: Complexity and Change in Biology , 1993 .
[111] L. Shastri,et al. From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony , 1993, Behavioral and Brain Sciences.
[112] B. Bower. A Child's Theory of Mind , 1993 .
[113] G. Edelman. Neural Darwinism: Selection and reentrant signaling in higher brain function , 1993, Neuron.
[114] Ben Goertzel,et al. The Evolving Mind , 1993 .
[115] Jürgen Schmidhuber,et al. Curious model-building control systems , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[116] D. Shannahoff-Khalsa,et al. The effects of unilateral forced nostril breathing on cognition. , 1991, The International journal of neuroscience.
[117] Jürgen Schmidhuber,et al. A possibility for implementing curiosity and boredom in model-building neural controllers , 1991 .
[118] G. Kampis. Self-modifying systems in biology and cognitive science , 1991 .
[119] John Rowan,et al. Subpersonalities: The People Inside Us , 1990 .
[120] Ramanathan V. Guha,et al. Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project , 1990 .
[121] E. Reed. The Ecological Approach to Visual Perception , 1989 .
[122] D. Amit. Modelling Brain Function: The World of Attractor Neural Networks , 1989 .
[123] Mark H. Bickhard,et al. Piaget on Variation and Selection Models: Structuralism, Logical Necessity, and Interactivism , 1988 .
[124] I. Rosenfield. The invention of memory : a new view of the brain , 1988 .
[125] Allen Newell,et al. SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..
[126] H. Kyburg. Bayesian and Non-Bayesian Evidential Updating , 1987, Artif. Intell..
[127] D. Dennett. The Intentional Stance. , 1987 .
[128] Alan S. Perelson,et al. The immune system, adaptation, and machine learning , 1986 .
[129] R. Gordon. Folk Psychology as Simulation , 1986 .
[130] M. Minsky. The Society of Mind , 1986 .
[131] Robert M. Fung,et al. Metaprobability and Dempster-Shafer in Evidential Reasoning , 2013, UAI.
[132] S. Carey. Conceptual Change in Childhood , 1985 .
[133] Robbie Case,et al. Intellectual development : birth to adulthood , 1985 .
[134] D. Davidson. Inquiries Into Truth and Interpretation , 1984 .
[135] Charles Levine,et al. Moral stages: A current formulation and a response to critics. , 1983 .
[136] C. Gilligan. In a Different Voice: Psychological Theory and Women''s , 1982 .
[137] Gèunther Palm,et al. Neural Assemblies: An Alternative Approach to Artificial Intelligence , 1982 .
[138] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[139] K. Fischer. A theory of cognitive development: The control and construction of hierarchies of skills. , 1980 .
[140] G. Bateson,et al. Mind and Nature: A Necessary Unity , 1979 .
[141] J. Gibbs,et al. Kohlberg's moral stage theory: a Piagetian revision. , 1979, Human development.
[142] Valentin F. Turchin,et al. The phenomenon of science , 1977 .
[143] P. K. Arlin,et al. Cognitive development in adulthood: A fifth stage? , 1975 .
[144] Leslie J. Briggs,et al. Principles of Instructional Design , 1974 .
[145] Terry Winograd,et al. Understanding natural language , 1974 .
[146] John D. Bransford,et al. The abstraction of linguistic ideas , 1971 .
[147] B. Pasamanick. The Construction of Reality in the Child , 1955 .
[148] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[149] J. R. Kantor,et al. The place of value in a world of facts. , 1939 .