By Paul R. Cohen, Edward A. Feigenbaum
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During this bankruptcy ve shall talk about the calculation of capability strength linked vith molecular conforaations. Raving acquired cartesian atoaic coordinates defining conforaations. and lists of intraao- cular interactions, as defined in bankruptcy three, ve are able to calculate a volume which within the chemical literature is called the entire aolecular power strength or the conforaational, steric, pressure or intraaolecular power.
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In this case, the probe in Figure E2-6 matches the memory structure in Figure E2-5, and the node corresponding to the blank is debutante. 37 0 / \ F 38 36 L / IT 31 E/ PARK PAST 32 A TOUCH Figure E2-4. 35 A° E| HIPPIE 33 34 V DEBUTANTE HAM structure for In a park a hippie touched a debutante. E2 HAM TOUCH Figure E2-5. 47 DEBUTANTE Illustration of how HAM incorporates the fact The hippie was tall into its memory. HAM matches input trees to extant memory structures to associate new information with old and to answer questions.
Both proactive and retroactive inhibition are evident in verbal-learning experiments, but EPAM exhibited only the latter. EPAM has since been extended to deal with proactive inhibition by Hintzman (1968) in his SAL (Stimulus and Association Learner) program. This was accomplished by having a push-down stack at each leaf node in the discrimination net. Instead of a single image and cue at a leaf node during an experiment, the associations from multiple experiments were allowed to accumulate by being pushed onto the appropriate stacks.
Also, means-ends analysis may construct a series of problem-solving operators that will, in fact, solve the problem, but that is much longer than necessary. A for a detailed discussion of this problem). However, the efficiency of problem-solving is a big concern for computers, but perhaps not a serious concern for humans. The fact that means-ends analysis can be inefficient does not detract from the empirical fact of its generality in human problem-solving. c) will discuss a planning problem that is best solved by a process called opportunistic planning.