This article reviews the strengths and limitations of five major paradigms of medical computer-assisted decision making (CADM): (1) clinical algorithms, (2) statistical analysis of collections of patient data, (3) mathematical models of physical processes, (4) decision analysis, and (5) symbolic reasoning or artificial intelligence (Al). No one technique is best for all applications, and there is recent promising work which combines two or more established techniques. We emphasize both the inherent power of symbolic reasoning and the promise of artificial intelligence (...) and the other techniques to complement each other. (shrink)

Aggleton & Brown argue that a hippocampal-anterior thalamic system supports the “recollection” of contextual information about previous events, and that a separate perirhinal-medial dorsal thalamic system supports detection of stimulus “familiarity.” Although there is a growing body of human literature that is in agreement with these claims, when recollection and familiarity have been examined in amnesics using the process dissociation or the remember/know procedures, the results do not seem to provide consistent support. We reexamine these studies and describe the results (...) of an additional experiment using a receiver operating characteristic (ROC) technique. The results of the reanalysis and the ROC experiment are consistent with Aggleton & Brown's proposal. Patients with damage to both regions exhibit severe deficits in recollection and smaller, but consistent, deficits in familiarity. (shrink)

Features of gait are determined at multiple levels, from the selection of the gait itself (e.g. walk or run) through the specific parameters utilized (stride length, frequency, etc.) to the pattern of muscular excitation. The ultimate choices are neurally determined, but what is involved with that decision process? Human locomotion appears stereotyped not so much because the pattern is predetermined, but because these movement patterns are good solutions for providing movement utilizing the machinery available to the individual (the legs and (...) their requisite components). Under different circumstances the appropriate solution may differ broadly (different gait) or subtly (different parameters). Interpretation of the neural decision making process would benefit from understanding the influences that determine the selection of the appropriate solution in any set of circumstances, including that of normal conditions. In this review we survey an array of studies that point to energetic cost as a key input to the gait coordination system, and not just an outcome of the gait pattern implemented. We then use that information to rigorously define the construct proposed by Sparrow and Newell (1998) where the effects of environment, organism and task act as constraints determining the solution set available, and the coordination pattern is then implemented under a pressure for energetic economy. Environment is defined in terms of affordances based on the ecological psychology definition of the concept and organism is defined as classic morphology and physiology based capabilities. We rely on a novel conceptualization of task that recognizes that the task goal needs to be separated from the mechanisms that achieve the goal if the motivation behind the selection of the mechanism strategy is to be exposed and understood. This reformulation of the Sparrow and Newell construct is then linked to the proposed pressure for economy by considering it as an optimization problem, where the most readily selected gait strategy will be that which achieves the task goal at (or near) the energetic minimum. (shrink)

This article reviews the strengths and limitations of five major paradigms of medical computer-assisted decision making (CADM): (1) clinical algorithms, (2) statistical analysis of collections of patient data, (3) mathematical models of physical processes, (4) decision analysis, and (5) symbolic reasoning or artificial intelligence (Al). No one technique is best for all applications, and there is recent promising work which combines two or more established techniques. We emphasize both the inherent power of symbolic reasoning and the promise of artificial intelligence (...) and the other techniques to complement each other. Keywords: Diagnosis, Computer Assisted Decision Making, Artificial Intelligence * Current address: Intelligenetics, 124 University Avenue, Palo Alto, CA. 94301, U.S.A. ** Dr. Shortliffe is a Henry J. Kaiser Family Foundation Faculty Scholar in General Internal Medicine and recipient of research career development award LM0048 from the National Library of Medicine. CiteULike Connotea Del.icio.us What's this? (shrink)

Книга адресована специалистам в области теории познания, обществоведам, преподавателям философских дисциплин, аспирантам и студентам философских факультетов вузов, всем тем, кто интересуется данной проблемой.

Bhartṛhari, the famous Indian linguistic philosopher (V CE) in his ‘Vākyapadīya’ discussed different doctrines on the nature of language, tending to demonstrate, that each of the doctrines is justified in a certain context and represents a certain aspect of reality. Modern scholars usually designate Bhartṛhari’s philosophy as perspectivism, though there are also disagreements with this interpretation. E.g. G. Cardona claims that Bhartṛhari’s perspectivism is generally exaggerated, and the true teaching expressed in VP is the monistic theory of the “Pāṇini-darśana”. So, (...) the concept of Bhartṛhari's perspectivism needs to be further eleborated. In this paper two characteristic features of Bhartṛhari’s perspectivism are discussed, in order to clarify the essence of his philosophical strategy: (1) Functional attitude; (2) Relative incompleteness of every single doctrine. These features elucidate the essence of Bhartṛhari's philosophical method and provide us with the key to the problem of the balance between monistic and pluralistic tendencies in the ‘Vākyapadīya’. (shrink)