999 research outputs found
"Consciousness". Selected Bibliography 1970 - 2001
This is a bibliography of books and articles on consciousness in philosophy, cognitive science, and neuroscience over the last 30 years. There are three main sections, devoted to monographs, edited collections of papers, and articles. The first two of these sections are each divided into three subsections containing books in each of the main areas of research. The third section is divided into 12 subsections, with 10 subject headings for philosophical articles along with two additional subsections for articles in cognitive science and neuroscience. Of course the division is somewhat arbitrary, but I hope that it makes the bibliography easier to use.
This bibliography has first been compiled by Thomas Metzinger and David Chalmers to appear in print in two philosophical anthologies on conscious experience (Metzinger 1995a, b). From 1995 onwards it has been continuously updated by Thomas Metzinger, and now is freely available as a PDF-, RTF-, or HTML-file.
This bibliography mainly attempts to cover the Anglo-Saxon and German debates, in a non-annotated, fully formatted way that makes it easy to "cut and paste" from the original file. To a certain degree this bibliography also contains items in other languages than English and German - all submissions in other languages are welcome. Last update of current version: July 13th, 2001
The ongoing search for the neuronal correlate of consciousness
A few decades ago the search for the neuronal correlates of consciousness was considered both technically intractable and philosophically questionable. Searching for a material substrate of phenomena accessible only from the first-person perspective appeared to be epistemically problematic. But the development of non-invasive imaging technologies and the availability of intracranial recordings from patients alleviated the imminent technical problems. Progress in the analysis of the connectome of the brain, and the introduction of multisite recordings from the cerebral cortex of animals led to a revision of concepts in the field of cognitive neuroscience, emphasizing principles of distributed processing in recurrent networks with non-linear dynamics, self-organization, and coding in high-dimensional-state space. These advances, together with the growing evidence for epigenetic shaping of brain functions by socio-cultural influences, pave the way for novel theories that attempt to bridge the gap between neuronal processes and subjective states
Criteria for consciousness in artificial intelligent agents
Proceeding of: Adaptive Learning Agents and Multi-Agent Systems, ALAMAS+ALAg 2008 â Workshop at AAMAS 2008, Estoril, May, 12, 2008, Portugal.Accurately testing for consciousness is still an unsolved problem when applied to humans and other mammals. The inherent subjective nature of conscious experience makes it virtually unreachable to classic empirical approaches. Therefore, alternative strategies based on behavior analysis and neurobiological studies are being developed in order to determine the level of consciousness of biological organisms. However, these methods cannot be directly applied to artificial systems. In this paper we propose both a taxonomy and some functional criteria that can be used to assess the level of consciousness of an artificial intelligent agent. Furthermore, a list of measurable levels of artificial consciousness, ConsScale, is defined as a tool to determine the potential level of consciousness of an agent. Both the mapping of consciousness to AI and the role of consciousness in cognition are controversial and unsolved questions, in this paper we aim to approach these issues with the notions of I-Consciousness and embodied intelligence.This research has been supported by the Spanish Ministry of Education and Science under project TRA2007-67374-C02-02.Publicad
Backwards is the way forward: feedback in the cortical hierarchy predicts the expected future
Clark offers a powerful description of the brain as a prediction machine, which offers progress on two distinct levels. First, on an abstract conceptual level, it provides a unifying framework for perception, action, and cognition (including subdivisions such as attention, expectation, and imagination). Second, hierarchical prediction offers progress on a concrete descriptive level for testing and constraining conceptual elements and mechanisms of predictive coding models (estimation of predictions, prediction errors, and internal models)
Can biological quantum networks solve NP-hard problems?
There is a widespread view that the human brain is so complex that it cannot
be efficiently simulated by universal Turing machines. During the last decades
the question has therefore been raised whether we need to consider quantum
effects to explain the imagined cognitive power of a conscious mind.
This paper presents a personal view of several fields of philosophy and
computational neurobiology in an attempt to suggest a realistic picture of how
the brain might work as a basis for perception, consciousness and cognition.
The purpose is to be able to identify and evaluate instances where quantum
effects might play a significant role in cognitive processes.
Not surprisingly, the conclusion is that quantum-enhanced cognition and
intelligence are very unlikely to be found in biological brains. Quantum
effects may certainly influence the functionality of various components and
signalling pathways at the molecular level in the brain network, like ion
ports, synapses, sensors, and enzymes. This might evidently influence the
functionality of some nodes and perhaps even the overall intelligence of the
brain network, but hardly give it any dramatically enhanced functionality. So,
the conclusion is that biological quantum networks can only approximately solve
small instances of NP-hard problems.
On the other hand, artificial intelligence and machine learning implemented
in complex dynamical systems based on genuine quantum networks can certainly be
expected to show enhanced performance and quantum advantage compared with
classical networks. Nevertheless, even quantum networks can only be expected to
efficiently solve NP-hard problems approximately. In the end it is a question
of precision - Nature is approximate.Comment: 38 page
Passive frame theory: A new synthesis.
Passive frame theory attempts to illuminate what consciousness is, in mechanistic and
functional terms; it does not address the âimplementationâ level of analysis (how neurons
instantiate conscious states), an enigma for various disciplines. However, in response to the
commentaries, we discuss how our framework provides clues regarding this enigma. In the
framework, consciousness is passive albeit essential. Without consciousness, there would not be
adaptive skeletomotor action
Image morphology: from perception to rendering
Complete image ontology can be obtained by formalising a top-down meta-language wich must address all possibilities, from global message and composition to objects and local surface properties
Psyche, Signals and Systems
For a century or so, the multidisciplinary nature of neuroscience has left the field fractured into distinct areas of research. In particular, the subjects of consciousness and perception present unique challenges in the attempt to build a unifying understanding bridging between the micro-, meso-, and macro-scales of the brain and psychology. This chapter outlines an integrated view of the neurophysiological systems, psychophysical signals, and theoretical considerations related to consciousness. First, we review the signals that correlate to consciousness during psychophysics experiments. We then review the underlying neural mechanisms giving rise to these signals. Finally, we discuss the computational and theoretical functions of such neural mechanisms, and begin to outline means in which these are related to ongoing theoretical research
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