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  • 1
    ISSN: 0885-6125
    Keywords: cased-based reasoning ; indexing ; modeling ; planning ; analogical reasoning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Interest in psychological experimentation from the Artificial Intelligence community often takes the form of rigorous post-hoc evaluation of completed computer models. Through an example of our own collaborative research, we advocate a different view of how psychology and AI may be mutually relevant, and propose an integrated approach to the study of learning in humans and machines. We begin with the problem of learning appropriate indices for storing and retrieving information from memory. From a planning task perspective, the most useful indices may be those that predict potential problems and access relevant plans in memory, improving the planner's ability to predict and avoid planning failures. This “predictive features” hypothesis is then supported as a psychological claim, with results showing that such features offer an advantage in terms of the selectivity of reminding because they more distinctively characterize planning situations where differing plans are appropriate. We present a specific case-based model of plan execution, RUNNER, along with its indices for recognizing when to select particular plans—appropriateness conditions—and how these predictive indices serve to enhance learning. We then discuss how this predictive features claim as implemented in the RUNNER model is then tested in a second set of psychological studies. The results show that learning appropriateness conditions results in greater success in recognizing when a past plan is in fact relevant in current processing, and produces more reliable recall of the related information. This form of collaboration has resulted in a unique integration of computational and empirical efforts to create a model of case-based learning.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 0885-6125
    Keywords: cased-based reasoning ; indexing ; modeling ; planning ; analogical reasoning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Interest in psychological experimentation from the Artificial Intelligence community often takes the form of rigorous post-hoc evaluation of completed computer models. Through an example of our own collaborative research, we advocate a different view of how psychology and AI may be mutually relevant, and propose an integrated approach to the study of learning in humans and machines. We begin with the problem of learning appropriate indices for storing and retrieving information from memory. From a planning task perspective, the most useful indices may be those that predict potential problems and access relevant plans in memory, improving the planner's ability to predict and avoid planning failures. This “predictive features” hypothesis is then supported as a psychological claim, with results showing that such features offer an advantage in terms of the selectivity of reminding because they more distinctively characterize planning situations where differing plans are appropriate. We present a specific case-based model of plan execution,Runner, along with its indices for recognizing when to select particular plans—appropriateness conditions—and how these predictive indices serve to enhance learning. We then discuss how this predictive features claim as implemented in theRunner model is then tested in a second set of psychological studies. The results show that learning appropriateness conditions results in greater success in recognizing when a past plan is in fact relevant in current processing, and produces more reliable recall of the related information. This form of collaboration has resulted in a unique integration of computational and empirical efforts to create a model of case-based learning.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    350 Main Street , Malden , MA 02148-5018 , USA and 9600 Garsington Road , Oxford OX4 2DQ , UK . : Blackwell Science Inc
    Pacing and clinical electrophysiology 28 (2005), S. 0 
    ISSN: 1540-8159
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Aims: To explore effects of epinephrine and phenylephrine on the behavior of right ventricular monophasic action potentials (MAPs) in symptomatic LQT1 and LQT2 patients. Methods and Results: We recorded endocardial MAPs from right interventricular septum at baseline and during epinephrine and phenylephrine infusions in six symptomatic DNA-verified LQT1 (QTc 528 ± 83) and five LQT2 patients (QTc 527 ± 72) and in five control patients (QTc 381 ± 22). We measured MAP durations at 90% and at 50% levels of repolarization and their difference (MAP50 to MAP90, a measure of MAP morphologic “triangulation”), during atrial pacing to characterize rate dependence of MAPs and repolarization phase 3 durations, respectively. Restitution kinetics were determined during atrioventricular sequential pacing, using the approach of empirical restitution rate. Epinephrine prolonged MAP50-to-MAP90 duration and increased the rate dependence of MAP90 duration and increased restitution rate in type LQT1, but not in LQT2 patients nor in control subjects. Phenylephrine did not change MAP behavior. During epinephrine administration, both LQT1 and LQT2 patients had a ratio of the restitution rate of MAP to diastolic interval 〉1.0 at short diastolic intervals. Conclusion: Symptomatic LQT1 patients with prolonged baseline QTc intervals showed β-adrenergic-induced changes in MAPs (triangulation) known to be arrhythmogenic, thus giving insight to the difference in clinical triggers of life-threatening arrhythmias between LQT1- and LQT2-affected individuals.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Computational intelligence 9 (1993), S. 0 
    ISSN: 1467-8640
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Type of Medium: Electronic Resource
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  • 5
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The detection of the optical pulsar1 in the supernova 1987A represents the culmination of a search program begun in March 1987, consisting of 37 separate observations from three different observatories2. A detector was used that was designed to allow for a pulsar search in the ...
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 349 (1991), S. 747-747 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] SIR-Our previously reported observation (Nature 338, 234-236; 1989) of what appeared to be an optical pulsar in the remnant from supervova 1987A turns out to be spurious. Despite repeated searches by us and others following the original observation in January 1989, the putative pulsar was not ...
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 222 (1969), S. 728-730 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The existence of a strong pulsed X-ray signal from the pulsar NP 0532 is confirmed. The phases and the shapes of the X-ray and optical pulses are ...
    Type of Medium: Electronic Resource
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