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  • Myles Bogner, Uma Ramamurthy & Stan Franklin (2000). Consciousness and Conceptual Learning in a Socially Situated Agent. In Kerstin Dauthenhahn (ed.), Human Cognition and Social Agent Technology. Amsterdam: John Benjamins Publishing Company.
    Conscious and Unconscious Learning in Philosophy of Cognitive Science
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  • 124.1D. Alexander Varakin, Daniel T. Levin & Roger Fidler (2004). Unseen and Unaware: Implications of Recent Research on Failures of Visual Awareness for Human-Computer Interface Design. Human-Computer Interaction 19 (4):389-422.
    Unconscious Perception in Philosophy of Cognitive Science
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  • 122.0Michael J. Apter (1970). The Computer Simulation Of Behaviour. Hutchinson.
    Philosophy of AI, Miscellaneous in Philosophy of Cognitive Science
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  • 105.3Philip Brey (2005). The Epistemology and Ontology of Human-Computer Interaction. Minds and Machines 15 (3-4).
    This paper analyzes epistemological and ontological dimensions of Human-Computer Interaction (HCI) through an analysis of the functions of computer systems in relation to their users. It is argued that the primary relation between humans and computer systems has historically been epistemic: computers are used as information-processing and problem-solving tools that extend human cognition, thereby creating hybrid cognitive systems consisting of a human processor and an artificial processor that process information in tandem. In this role, computer systems extend human cognition. Next, (...) it is argued that in recent years, the epistemic relation between humans and computers has been supplemented by an ontic relation. Current computer systems are able to simulate virtual and social environments that extend the interactive possibilities found in the physical environment. This type of relationship is primarily ontic, and extends to objects and places that have a virtual ontology. Increasingly, computers are not just information devices, but portals to worlds that we inhabit. The aforementioned epistemic and ontic relationships are unique to information technology and distinguish human-computer relationships from other human-technology relationships. (shrink)
    Epistemology of Specific Domains, Misc in Epistemology
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  • 104.9M. Sierhuis & William J. Clancey, Knowledge, Practice, Activities and People.
    The perspective of modeling knowledge in Artificial Intelligence is that these models are equal to the knowledge itself (e.g. equate the map with the territory). This encoding view treats knowledge as if it were primarily verbal and assumes that verbal concepts themselves can be replaced by descriptions of concepts—as if a body of descriptions and neural categorizations were equivalent mechanisms for generating behavior.[ ] This paper describes a number of concepts around the notion of ‘situatedness’: situated cognition, situated action, situated (...) learning, and the concept of autopoiesis as an organizing principle. Situatedness changes the way we think about how knowledge is created (learning) and applied (action). In this light knowledge management changes its meaning from managing the knowledge of an organization to managing the situation in which learning happens. Collaboration and participation become the key management principles. In this paper we propose that Brahms (Business Re-design Agent-based Holistic Modeling System), an activity-based multi-agent modeling environment, allows us to model knowledge in situated actions and learning in human activities. (shrink)
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  • 100.3Robert Trappl (ed.) (2002). Emotions in Humans and Artifacts. Bradford Book/MIT Press.
    This interdisciplinary book presents recent work on emotions in neuroscience, cognitive science, philosophy, computer science, artificial intelligence, and...
    Emotions in Philosophy of Mind
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  • 99.6Aregahegn S. Negatu & Stan Franklin (2002). An Action Selection Mechanism for "Conscious" Software Agents. Cognitive Science Quarterly. Special Issue 2 (3):362-384.
    Cognitive Models of Consciousness in Philosophy of Cognitive Science
    Software in Philosophy of Computing and Information
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  • 99.1F. H. George (1962). The Brain As A Computer. Addison-Wesley.
    Computationalism in Cognitive Science in Philosophy of Cognitive Science
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  • 97.2Ricardo Sanz, Ignacio López & Julita Bermejo-Alonso (2007). A Rationale and Vision for Machine Consciousness in Complex Controllers. In Antonio Chella & Riccardo Manzotti (eds.), Artificial Consciousness. Imprint Academic.
    Machine Consciousness in Philosophy of Cognitive Science
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  • 96.9Brian P. Bailey & Joseph A. Konstan (2006). On the Need for Attention-Aware Systems: Measuring Effects of Interruption on Task Performance, Error Rate, and Affective State. Computers in Human Behavior 22 (4):685-708.
    Attention and Consciousness in Psychology in Philosophy of Cognitive Science
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  • 96.3Saul Traiger (2000). Making the Right Identification in the Turing Test. Minds and Machines 10 (4):561-572.
    The test Turing proposed for machine intelligence is usually understood to be a test of whether a computer can fool a human into thinking that the computer is a human. This standard interpretation is rejected in favor of a test based on the Imitation Game introduced by Turing at the beginning of "Computing Machinery and Intelligence.".
    The Turing Test in Philosophy of Cognitive Science
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    Export citation  | Other links: traiger.oxy.edu faculty.oxy.edu 0-www.faculty.oxy.edu.oasys.lib.oxy.edu books.google.com springerlink.com ingentaconnect.com   | Scholar | More..




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