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THE LEARNING OF REPRESENTATIONS FOR ...

JORDAN, MICHAEL IRWIN,

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THE LEARNING OF REPRESENTATIONS FOR SEQUENTIAL PERFORMANCE (CONNECTIONISM, PARALLEL MODELS, SERIAL ORDER) /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	THE LEARNING OF REPRESENTATIONS FOR SEQUENTIAL PERFORMANCE (CONNECTIONISM, PARALLEL MODELS, SERIAL ORDER) // MICHAEL IRWIN JORDAN.
作者:	JORDAN, MICHAEL IRWIN,
面頁冊數:	1 electronic resource (178 pages)
附註:	Source: Dissertations Abstracts International, Volume: 46-07, Section: B.
Contained By:	Dissertations Abstracts International46-07B.
標題:	Psychology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8603815
ISBN:	9798205099561

THE LEARNING OF REPRESENTATIONS FOR SEQUENTIAL PERFORMANCE (CONNECTIONISM, PARALLEL MODELS, SERIAL ORDER) /
JORDAN, MICHAEL IRWIN,

THE LEARNING OF REPRESENTATIONS FOR SEQUENTIAL PERFORMANCE (CONNECTIONISM, PARALLEL MODELS, SERIAL ORDER) /MICHAEL IRWIN JORDAN. - 1 electronic resource (178 pages)

Source: Dissertations Abstracts International, Volume: 46-07, Section: B.

This paper presents a theory of serial order which attempts to account for serial learning and for the parallel aspects of sequential performance. Two kinds of parallelism are integrated in the theory: parallelism across time, or coarticulatory parallelism, and parallelism across space, or dual-task parallelism. It is shown that coarticulatory parallelism can arise when learning is restricted to certain critical features of the actions being learned. Noncritical features can be used to anticipate or perseverate aspects of other actions in the sequence. The same mechanism leads to interference between processes in dual-task parallelism, if the processes are learned separately. Learning regimes to suppress dual-task interference take the same form as those used in learning conflicting critical features in the sequences. The theory has been implemented as a parallel, distributed processing network, and simulation experiments are presented. The behavior of the network is shown to be characterized by an attractor dynamics, where the learned sequences correspond to limit cycles in state space.

English

ISBN: 9798205099561Subjects--Topical Terms:

519075
Psychology.

THE LEARNING OF REPRESENTATIONS FOR SEQUENTIAL PERFORMANCE (CONNECTIONISM, PARALLEL MODELS, SERIAL ORDER) /
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