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 . 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. (shrink)

A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, (1) between learning that takes place with versus without concurrent awareness, and (2) between learning that involves the encoding of instances (or fragments) versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence for implicit learning (...) derived from subliminal learning, conditioning, artificial grammar learning, instrumental learning, and reaction times in sequence learning. We conclude that unconscious learning has not been satisfactorily established in any of these areas. The assumption that learning in some of these tasks (e.g., artificial grammar learning) is predominantly based on rule abstraction is questionable. When subjects cannot report the rules that govern stimulus selection, this is often because their knowledge consists of instances or fragments of the training stimuli rather than rules. In contrast to the distinction between conscious and unconscious learning, the distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning. We discuss various computational models of these two forms of learning. (shrink)

Three experiments investigated response times for remember and know responses in recognition memory. RTs to remember responses were faster than RTs to know responses, regardless of whether the remember–know decision was preceded by an old/new decision or was made without a preceding old/new decision . The finding of faster RTs for R responses was also found when remember–know decisions were made retrospectively. These findings are inconsistent with dual-process models of recognition memory, which predict that recollection is slower and more effortful (...) than familiarity. Word frequency did not influence RTs, but remember responses were faster for words than for nonwords. We argue that the difference in RTs to remember and know responses reflects the time taken to make old/new decisions on the basis of the type of information activated at test. (shrink)

A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, between learning that takes place with versus without concurrent awareness, and between learning that involves the encoding of instances versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence for implicit learning derived from subliminal learning, (...) conditioning, artificial grammar learning, instrumental learning, and reaction times in sequence learning. We conclude that unconscious learning has not been satisfactorily established in any of these areas. The assumption that learning in some of these tasks is predominantly based on rule abstraction is questionable. When subjects cannot report the “implicitly learned” rules that govern stimulus selection, this is often because their knowledge consists of instances or fragments of the training stimuli rather than rules. In contrast to the distinction between conscious and unconscious learning, the distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning. We discuss various computational models of these two forms of learning. (shrink)

A framework to explain item-specific implicit and explicit memory is proposed. It explores the mutual implications of four kinds of processing mechanism that are familiar in the literature. The first kind of mechanisms are those related to memory representation which include the kind of storage processes that subserve the maintenance of different types of information in memory. It is argued that there is very little evidence to suggest that fact and event memory require the postulation of algorithmically distinct kinds of (...) storage mechanism. The second mechanism is the enhanced fluency of activation of representation triggered by the encoding of components of those representations that results from the storage changes mediating memory. It is argued that enhanced fluency underlies all item-specific implicit memory and that the same kind of fluency process is probably involved regardless of the type of memory representation fluently activated. The third type of mechanism is the kind of attribution process that is triggered by fluency and gives rise to aware memory feelings as well as specific perceptual and aesthetic feelings The final mechanism is active search, which is an often present feature of explicit memory, and involves the effortful mediation of the frontal lobes. How the interactions between these different mechanisms accounts for item-specific implicit memory, recognition and recall is discussed, as is the framework's relationship with other current views about the mechanisms underlying memory. The best available methods of measuring enhanced fluency, familiarity, and recollection are reviewed so as to indicate the ways in which the framework may be tested. (shrink)

This study investigated whether the encoding and retrieval of plurality information and letter-case information of words in recognition memory can be inhibited. Response-deadline experiments using single words have indicted a controlled processing mode, whereas studies using meaningful sentences have indicated an automatic mode of processing plurality information. Two similar opposing views have existed on the processing of letter-case information. The abstractionist view contends that we retain the abstract lexical information and discard the superficial perceptual case information. The proceduralist view holds (...) that perceptual details cannot be separated from the lexical information. Using an intentional and an attention-diverted learning procedure and instructions to ignore plurality and case, we found that subjects experienced a consistent interference effect of changed plurality from study to test but slightly less interference from changed case, suggesting strong automaticity for plurality, and comparatively less automaticity, for case processing. (shrink)