Titlebook: Biologically Inspired Cognitive Architectures 2012; Proceedings of the T Antonio Chella,Roberto Pirrone,Kamilla Rún Jóhanns Conference proc

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Biologically Inspired Cognitive Architectures 2012978-3-642-34274-5Series ISSN 2194-5357 Series E-ISSN 2194-5365

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P Anguswamy,M Krishna Kumar,V Malass neural nets as an instance of a system that owes its competence to something that can be naturally described as ‘being conscious’ rather depending on the use AI algorithms structured by a programmer.

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Back to Basics and Forward to Novelty in Machine Consciousness,ss neural nets as an instance of a system that owes its competence to something that can be naturally described as ‘being conscious’ rather depending on the use AI algorithms structured by a programmer.

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Conference proceedings 2013al intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still

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Characterizing and Assessing Human-Like Behavior in Cognitive Architectures,e analyze key factors involved in the design and implementation of variants of the Turing test and we also propose a medium term plausible agenda towards the effective development of Artificial General Intelligence (AGI) from the point of view of artificial cognitive architectures.

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Architects or Botanists? The Relevance of (Neuronal) Trees to Model Cognition,iring patterns to, thousands of other neurons. Synaptic integration and plasticity in dendrites is mediated by their morphology and biophysics. Axons provide the vast majority of cable length, constituting the main determinant of network connectivity. Together, neuronal computation and circuitry pro

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2194-5357 This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cog978-3-642-34273-8978-3-642-34274-5Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Biologically Inspired Cognitive Architectures 2012Proceedings of the T

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