Shruti-agent: a structured connectionist architecture for reasoning and decision-making
暂无分享,去创建一个
[1] M. W. Brown,et al. Episodic memory, amnesia, and the hippocampal–anterior thalamic axis , 1999, Behavioral and Brain Sciences.
[2] J. Jonides,et al. Storage and executive processes in the frontal lobes. , 1999, Science.
[3] Michael G. Dyer,et al. High-level Inferencing in a Connectionist Network , 1989 .
[4] Allen Newell,et al. Elements of a theory of human problem solving. , 1958 .
[5] J. Grafman,et al. Are the frontal lobes implicated in “planning” functions? Interpreting data from the Tower of Hanoi , 1995, Neuropsychologia.
[6] Clayton E Curtis,et al. Organization of working memory within the human prefrontal cortex: a PET study of self-ordered object working memory , 2000, Neuropsychologia.
[7] S. Grossberg,et al. Neural dynamics of decision making under risk: affective balance and cognitive-emotional interactions. , 1988, Psychological review.
[8] B. Postle,et al. Maintenance versus Manipulation of Information Held in Working Memory: An Event-Related fMRI Study , 1999, Brain and Cognition.
[9] 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.
[10] J. Neumann,et al. Theory of Games and Economic Behavior. , 1945 .
[11] R. Weller. Two cortical visual systems in Old World and New World primates. , 1988, Progress in brain research.
[12] C. Kase,et al. Global spatial disorientation Clinico-pathologic correlations , 1977, Journal of the Neurological Sciences.
[13] Allen Newell,et al. SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..
[14] D. Stuss,et al. The Frontal Lobes , 1986 .
[15] N. Kanwisher,et al. The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception , 1997, The Journal of Neuroscience.
[16] H. Raiffa,et al. Decisions with Multiple Objectives , 1993 .
[17] James L Olds,et al. Positive reinforcement produced by electrical stimulation of septal area and other regions of rat brain. , 1954, Journal of comparative and physiological psychology.
[18] James L. McClelland,et al. An interactive activation model of context effects in letter perception: I. An account of basic findings. , 1981 .
[19] J. Duncan,et al. Common regions of the human frontal lobe recruited by diverse cognitive demands , 2000, Trends in Neurosciences.
[20] P. Schoemaker,et al. Prospect theory's reflection hypothesis: A critical examination , 1980 .
[21] John E. Hummel,et al. Distributed representations of structure: A theory of analogical access and mapping. , 1997 .
[22] A. Paans,et al. Brain Activation Related to the Representations of External Space and Body Scheme in Visuomotor Control , 2001, NeuroImage.
[23] Risto Miikkulainen,et al. Natural Language Processingwith Modular Neural Networks and Distributed Lexicon , 1991 .
[24] Nevin L. Zhang,et al. A simple approach to Bayesian network computations , 1994 .
[25] Marcelo Simoes. Introduction to Fuzzy Control , 2003 .
[26] D. Buonomano,et al. Cortical plasticity: from synapses to maps. , 1998, Annual review of neuroscience.
[27] Michael C. Anderson,et al. Inhibitory processes and the control of memory retrieval , 2002, Trends in Cognitive Sciences.
[28] D. R. Mani,et al. Reflexive Reasoning with Multiple Instantiation in a Connectionist Reasoning System with a Type Hierarchy , 1993 .
[29] D. Kieras,et al. Modern computational perspectives on executive mental processes and cognitive control: Where to from here? , 2000 .
[30] R. Nicoll,et al. Long-term potentiation--a decade of progress? , 1999, Science.
[31] John R. Anderson,et al. A Production System Theory of Serial Memory , 1997 .
[32] Daniel T. Levin,et al. Animals and Artifacts May Not Be Treated Equally: Differentiating Strong and Weak Forms of Category-Specific Visual Agnosia , 2001, Brain and Cognition.
[33] G. Bower,et al. Rewarding and punishing effects from stimulating the same place in the rat's brain. , 1958, Journal of comparative and physiological psychology.
[34] Allen Newell,et al. Computer science as empirical inquiry: symbols and search , 1976, CACM.
[35] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[36] W. Singer,et al. Stimulus-dependent synchronization of neuronal responses in the visual cortex of the awake macaque monkey , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[37] R. Shadmehr,et al. Neural correlates of motor memory consolidation. , 1997, Science.
[38] James L. McClelland,et al. On the control of automatic processes: a parallel distributed processing account of the Stroop effect. , 1990, Psychological review.
[39] E. Rolls,et al. Hunger and satiety modify the responses of olfactory and visual neurons in the primate orbitofrontal cortex. , 1996, Journal of neurophysiology.
[40] Lynn C. Robertson,et al. Implicit Representations of Space after Bilateral Parietal Lobe Damage , 2001, Journal of Cognitive Neuroscience.
[41] B. Milner,et al. Deficits on subject-ordered tasks after frontal- and temporal-lobe lesions in man , 1982, Neuropsychologia.
[42] M. Goldberg,et al. Space and attention in parietal cortex. , 1999, Annual review of neuroscience.
[43] T. Bliss. Long-lasting potentiation of synaptic transmission , 2005 .
[44] Gregory P. Lee,et al. Different Contributions of the Human Amygdala and Ventromedial Prefrontal Cortex to Decision-Making , 1999, The Journal of Neuroscience.
[45] E. Rolls,et al. Abstract reward and punishment representations in the human orbitofrontal cortex , 2001, Nature Neuroscience.
[46] Keiji Kanazawa,et al. A model for reasoning about persistence and causation , 1989 .
[47] R. Knight,et al. Prefrontal cortex regulates inhibition and excitation in distributed neural networks. , 1999, Acta psychologica.
[48] Antony Browne,et al. Connectionist inference models , 2001, Neural Networks.
[49] S. Grossberg,et al. Pattern formation, contrast control, and oscillations in the short term memory of shunting on-center off-surround networks , 1975, Biological Cybernetics.
[50] Craig Boutilier,et al. Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations , 1996, AAAI/IAAI, Vol. 2.
[51] M. Petrides. Comparative architectonic analysis of the human and the macaque frontal cortex , 1994 .
[52] Craig Boutilier,et al. Exploiting Structure in Policy Construction , 1995, IJCAI.
[53] John Jonides,et al. Order Information in Working Memory: fMRI Evidence for Parietal and Prefrontal Mechanisms , 2000, Journal of Cognitive Neuroscience.
[54] Jonathan Baron,et al. Behavioral Law and Economics: Reluctance to Vaccinate: Omission Bias and Ambiguity , 1990 .
[55] Paul Thagard,et al. Analogical Mapping by Constraint Satisfaction , 1989, Cogn. Sci..
[56] Lokendra Shastri,et al. Learning structured representations , 2003, Neurocomputing.
[57] Patrick D. Roberts,et al. Spike timing dependent synaptic plasticity in biological systems , 2002, Biological Cybernetics.
[58] Alan C. Evans,et al. Changes in brain activity related to eating chocolate: from pleasure to aversion. , 2001, Brain : a journal of neurology.
[59] E T Rolls,et al. Representations of pleasant and painful touch in the human orbitofrontal and cingulate cortices. , 2003, Cerebral cortex.
[60] R. Morris,et al. Neural correlates of planning ability: Frontal lobe activation during the tower of London test , 1993, Neuropsychologia.
[61] Seth Bullock,et al. Simple Heuristics That Make Us Smart , 1999 .
[62] A. Tversky,et al. Contingent weighting in judgment and choice , 1988 .
[63] Leslie G. Ungerleider,et al. ‘What’ and ‘where’ in the human brain , 1994, Current Opinion in Neurobiology.
[64] E. Rolls,et al. Representation of pleasant and aversive taste in the human brain. , 2001, Journal of neurophysiology.
[65] Geoffrey E. Hinton,et al. Learning and relearning in Boltzmann machines , 1986 .
[66] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[67] Yun Peng,et al. A Neural Network Approach to Approximating Map in Belief Networks , 2002, Int. J. Neural Syst..
[68] M. Botvinick,et al. Anterior cingulate cortex, error detection, and the online monitoring of performance. , 1998, Science.
[69] Craig Boutilier,et al. Decision-Theoretic Planning: Structural Assumptions and Computational Leverage , 1999, J. Artif. Intell. Res..
[70] Nicholas Kushmerick,et al. An Algorithm for Probabilistic Planning , 1995, Artif. Intell..
[71] John R. Anderson,et al. The Transfer of Cognitive Skill , 1989 .
[72] Craig Boutilier,et al. Symbolic Dynamic Programming for First-Order MDPs , 2001, IJCAI.
[73] P. Thagard,et al. Inference to the best plan: A coherence theory of decision. , 1997 .
[74] Lokendra Shastri,et al. Soft Computing in SHRUTI - A Neurally Plausible Model of Reflexive Reasoning and Relational Information Processing , 1999, IIA/SOCO.
[75] Daphne Koller,et al. Computing Factored Value Functions for Policies in Structured MDPs , 1999, IJCAI.
[76] G. Bi,et al. Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.
[77] Edward H. Shortliffe,et al. Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence) , 1984 .
[78] Robert P. Goldman,et al. From knowledge bases to decision models , 1992, The Knowledge Engineering Review.
[79] N. Costes,et al. Brain processing of visual sexual stimuli in human males , 2000, Human brain mapping.
[80] N Butters,et al. Retention of Delayed-Alternation: Effect of Selective Lesions of Sulcus Principalis , 1969, Science.
[81] J. Haxby,et al. Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects , 1999, Nature Neuroscience.
[82] H. Breiter,et al. Reward Circuitry Activation by Noxious Thermal Stimuli , 2001, Neuron.
[83] Gary F. Marcus,et al. Plasticity and Nativism: Towards a Resolution of an Apparent Paradox , 2001, Emergent Neural Computational Architectures Based on Neuroscience.
[84] M. Just,et al. From the SelectedWorks of Marcel Adam Just 1992 A capacity theory of comprehension : Individual differences in working memory , 2017 .
[85] Richard Fikes,et al. STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving , 1971, IJCAI.
[86] P. Goldman-Rakic,et al. Dissociation of object and spatial processing domains in primate prefrontal cortex. , 1993, Science.
[87] Mortimer Mishkin,et al. A re-examination of the effects of frontal lesions on object alternation , 1969 .
[88] Nigel Goddard,et al. Rochester Connectionist Simulator , 1989 .
[89] Lokendra Shastri,et al. A Connectionist Encoding of Parameterized Schemas and Reactive Plans , 2002 .
[90] Jonathan D. Cohen,et al. A Biologically Based Computational Model of Working Memory , 1999 .
[91] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[92] A. Baddeley,et al. Dual-task performance in dysexecutive and nondysexecutive patients with a frontal lesion. , 1997, Neuropsychology.
[93] E S BOYD,et al. Positive and Negative Reinforcement from Intracranial Stimulation of a Teleost , 1962, Science.
[94] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[95] Kenneth D. Miller,et al. The Role of Constraints in Hebbian Learning , 1994, Neural Computation.
[96] Alan C. Evans,et al. Evidence for a two-stage model of spatial working memory processing within the lateral frontal cortex: a positron emission tomography study. , 1996, Cerebral cortex.
[97] Richard E Thompson,et al. Cerebellar circuits and synaptic mechanisms involved in classical eyeblink conditioning , 1997, Trends in Neurosciences.
[98] P. Milner,et al. Preconceptions and prerequisites: Understanding the function of synaptic plasticity will also depend on a better systems-level understanding of the multiple types of memory , 1997, Behavioral and Brain Sciences.
[99] L. Shastri,et al. A Connectionist Treatment of Negation and Inconsistency , 1996 .
[100] Jonathan Baron,et al. Decision-making biases in children and early adolescents: exploratory studies , 1993 .
[101] L. Shastri,et al. Acquisition of concepts and causal rules in SHRUTI , 2003 .
[102] Robert M. French,et al. A Connectionist Account of Interference Effects in Early Infant Memory and Categorization , 1997 .
[103] Lokendra Shastri,et al. Probabilistic Inference and Learning in a Connectionist Causal Network , 2000 .
[104] D. Norman,et al. Attention to action: Willed and automatic control , 1980 .
[105] J. Lilly,et al. Operant conditioning of the bottlenose dolphin with electrical stimulation of the brain. , 1962 .
[106] Michael I. Jordan,et al. Graphical models: Probabilistic inference , 2002 .
[107] Fahiem Bacchus,et al. Graphical models for preference and utility , 1995, UAI.
[108] Jodie A. Baird,et al. Executive Attention and Metacognitive Regulation , 2000, Consciousness and Cognition.
[109] Ron Sun,et al. A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making , 1999, Applied Intelligence.
[110] M. Botvinick,et al. The Contribution of the Anterior Cingulate Cortex to Executive Processes in Cognition , 1999, Reviews in the neurosciences.
[111] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[112] Craig Boutilier,et al. Context-Specific Independence in Bayesian Networks , 1996, UAI.
[113] Edward J. Sondik,et al. The Optimal Control of Partially Observable Markov Processes over a Finite Horizon , 1973, Oper. Res..
[114] W. Singer,et al. Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex , 1991, Science.
[115] D. Scott,et al. Assigning Probabilities to Logical Formulas , 1966 .