Download Cognitive Modeling by Thad A. Polk, Colleen M. Seifert PDF

By Thad A. Polk, Colleen M. Seifert

Computational modeling performs a valuable position in cognitive technology. This e-book offers a entire creation to computational versions of human cognition. It covers significant techniques and architectures, either neural community and symbolic; significant theoretical concerns; and particular computational types of a spread of cognitive techniques, starting from low-level (e.g., awareness and reminiscence) to higher-level (e.g., language and reasoning). The articles integrated within the publication offer unique descriptions of advancements within the box. The emphasis is on carried out computational versions instead of on mathematical or nonformal ways, and on modeling empirical info from human matters.

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The predictions of the model will be illustrated by means of this example. The aforementioned text (The townspeople were amazed to ®nd that all the buildings had collapsed except the mint) has the following propositional representation: 1. 2. 3. 4. 5. 6. , P1 is two steps away from P3, connected via P2). Next, each text proposition was allowed to access at random two of its neighbors in the long-term associative net. This process was simulated by having an informant provide free associations to phrases based on each of these six propositions.

5. The two new propositions were given initial activation values of zero, and the integration process was resumed; that is, activation now spread from the previously stabilized subnet into the newly constructed part of the net. Nine more integration cycles were required before the expanded net stabilized. As one would expect, the two new inferences did not alter the pattern of activation much, but both of them became fairly strongly activated (thereby diminishing activation values in the already existing portion of the net).

7 Thus, in terms of the foregoing discussion about knowledge use in discourse, the Kintsch and Greeno model is a ``smart'' model: Production rules are formulated in such a way that in each situation exactly the right arithmetic strategy is ®red. The Kintsch and Greeno model of solving arithmetic word problems is useful in several ways. The model identi®es different classes of errors, such as errors caused by a lack of arithmetic knowledge, errors caused by linguistic misunderstandings, and errors that do not re¯ect a lack of knowledge at all but result from resource limitations.

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