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From cognitive models to neurofuzzy systems - the mind space approach.

Cognitive modeling approach lies between the symbolic, rule-based methods of artificial .... Memory-based reasoning is related to probabilistic neural ... Source: http://www.fizyka.umk.pl/ftp/papers/kmk/95sams.pdf

DESIGN AND USE OF A BIMODAL COGNITIVE ARCHITECTURE FOR ...

FOR DIAGRAMMATIC REASONING AND COGNITIVE MODELING. DISSERTATION ...... symbolic representation of Soar with representations and processes that correspond to ..... to the neural framework of the brain and that it exhibit a range of ... Source: http://etd.ohiolink.edu/send-pdf.cgi/Kurup%20Unmesh.pdf?osu1198526352

Symbolic state transducers and recurrent neural preference ...

International Journal of Approximate Reasoning 32 (2003) 237–258 .... [38] as a method of interpreting symbolic and neural machines. ...... Proceedings of the Eighth Conference of the Cognitive Science Society, Amherst, MA, 1986, ... Source: http://www.informatik.uni-hamburg.de/WTM/ps/arevapp.pdf

Symbolic Artificial Intelligence and Numeric Artificial Neural ...

cognitive phenomena and engineering intelligent systems. ...... with logical ( hence symbolic) representations. Probabilistic reasoning is an im- ... Source: http://www.cs.iastate.edu/~honavar/Papers/ainn94.pdf

KI-Zeitschrift - Auszug als Leseprobe

rather large repertoire of different reasoning paradigms in order to solve problems, generate plans, ... the unification of neural and symbolic approaches in terms ... tionary increase of new proposals for cognitive architectures ... Source: http://www.kuenstliche-intelligenz.de/fileadmin/template/main/archiv/pdf/ki2009-02_page58-59_web_full.pdf

THE LATIN AMERICAN SCHOOL FOR EDUCATION, COGNITIVE AND NEURAL ...

working memory, attention and no training, respectively. We expect the EC- reasoning group to show the biggest behavioral and neural benefits. ... Source: http://www.laschool4education.com/docs/doc/professor_attachments/2011-04-06_220229-LASchool_Atacama2011_ProjectProposalAbstracts.pdf

Numerical processing for cognitive tasks

1.2 Artificial neural networks for associative reasoning. Most basic cognitive operations can be labelled with the term “as- sociative reasoning”. ... Source: http://www.cenecc.ens.fr/EcoCog/Livre/Drafts/falexandre.pdf

A Neural-Symbolic Cognitive Agent for Online Learning and ... - Ijcai

Abstract. In real-world applications, the effective integration of learning and reasoning in a cognitive agent model is a difficult task. However, such integration. Source: http://ijcai.org/papers11/Papers/IJCAI11-278.pdf

Neural-Symbolic Cognitive Agents: Architecture and Theory

Sep 30, 2011 ... reasoning in a cognitive agent model is a difficult task. However ... Keywords: Neural-Symbolic, Cognitive Agent, Restricted Boltzmann Machine. Source: http://iccsw.doc.ic.ac.uk/2011/files/00010010.pdf

OpenCog NS: A Deeply-Interactive Hybrid Neural-Symbolic ...

OpenCog NS: A Deeply-Interactive Hybrid Neural-Symbolic Cognitive. Architecture Designed for ... that symbolic reasoning intervenes in the process of attractor ... Source: http://pdf.aminer.org/000/252/064/combining_architectures_for_temporal_learning_in_neural_symbolic_systems.pdf

AAAI Proceedings Template - Kno.e.sis

A Neural-Symbolic Cognitive Agent with a Mind's Eye. H.L.H. de Penning. 1 ... knowledge representation and temporal reasoning in a visual intelligent system ... Source: http://knoesis.wright.edu/faculty/pascal/nesy/NeSy12/depenning.pdf

Proceedings of the 9th International Workshop on Neural-Symbolic ...

The workshop series on Neural-Symbolic Learning and Reasoning (NeSy) ... Neural-symbolic cognitive agents and applications of neural-symbolic systems. Source: http://knoesis.wright.edu/faculty/pascal/nesy/NeSy13/nesy13proceedings.pdf

Using Inductive Types for Ensuring Correctness of Neuro-Symbolic ...

nectionist Models, Hybrid Neuro-Symbolic Systems, Type Systems and ... logical, deductive, mathematical and constructive reasoning; and hence the main ..... model can serve as a cognitive model of massively-parallel symbolic computation,. Source: http://staff.computing.dundee.ac.uk/katya/BGK.pdf

Neural-Symbolic Integration and Lifelong Machine ... - ResearchGate

Neural-symbolic integration, or NSI, considers hybrid sys- tems that ... network models and the reasoning capacities of logic [Garcez ..... Cognitive Science,. Source: http://www.researchgate.net/publication/242025539_On_Common_Ground_Neural-Symbolic_Integration_and_Lifelong_Machine_Learning/file/e0b4951cc32892064b.pdf

Symbolic

Jun 28, 2013 ... One neuron, two neurons, ..., n neurons, a mind? Neural ... in red). Symbolic. Non -/Sub-symbolic ... Neural-symbolic cognitive reasoning. Berlin,. Source: http://luisaugustophil.50webs.com/mind_amf_5.pdf

A Bayesian Computational Cognitive Model - CEUR-WS.org

emerges a novel approach, hybrid neural-symbolic system, which concerns the ... model of the reasoning process, and it simulates, in fact, the mechanisms that ... Source: http://ceur-ws.org/Vol-230/11-shi.pdf

The Importance of Being Neural-Symbolic – A Wilde ... - CiteSeer

We argue that Neural-Symbolic Integration is a topic of central importance for the ... forts within the cognitive science community, including psychologists and linguists .... ities of human thinking which are not usually covered by standard logical ... Source: http://www.aifb.uni-karlsruhe.de/WBS/phi/pub/wilde.pdf

688 KB - DROPS - Schloss Dagstuhl

1998 ACM Subject Classification I.2.0 Cognitive simulation. Keywords and ..... Neural-Symbolic Cognitive Agent for Online Learning and Reasoning. In Proc. of  ... Source: http://drops.dagstuhl.de/opus/volltexte/2013/4276/pdf/15.pdf

Symbolic vs. subsymbolic representation in cognitive science and ...

(2) reasoning processes,. (3) problem ... a metaphor human brain, where cognitive activities of brain are interpreted by ... Subsymbolic network – neural network. Source: http://www2.fiit.stuba.sk/~kvasnicka/NeuralNetworks/1.prednaska/symbolic.pdf

Reasoning and Modeling Systems in Diagnosis and Prognosis

a system to facilitate system engineering, not the failure behavior. ... rooted in artificial intelligence approaches, captures cause-effect relationships. ..... system testability analysis and fault diagnosis,” Proceedings of the 1994 ... Source: http://www.teamqsi.com/doc/spie-paper-4389-20-ver2.pdf