Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed back to themselves: (...) the internal representations which develop thus reflect task demands in the context of prior internal states. A set of simulations is reported which range from relatively simple problems (temporal version of XOR) to discovering syntactic/semantic features for words. The networks are able to learn interesting internal representations which incorporate task demands with memory demands: indeed, in this approach the notion of memory is inextricably bound up with task processing. These representations reveal a rich structure, which allows them to be highly context‐dependent, while also expressing generalizations across classes of items. These representations suggest a method for representing lexical categories and the type/token distinction. (shrink)

What role does language play during attention allocation in perceiving and remembering events? We recorded adults‟ eye movements as they studied animated motion events for a later recognition task. We compared native speakers of two languages that use different means of expressing motion (Greek and English). In Experiment 1, eye movements revealed that, when event encoding was made difficult by requiring a concurrent task that did not involve language (tapping), participants spent extra time studying what their language treats as the (...) details of the event. This „linguistic encoding‟ effect was eliminated both when event encoding was made easier (no concurrent task) and when the concurrent task required the use of language (counting aloud). In Experiment 2, under conditions of a delayed concurrent task of counting aloud, participants used language covertly just prior to engaging in the additional task. Together, the results indicate that language can be optionally recruited for encoding events, especially under conditions of high cognitive load. Yet, these effects are malleable and flexible and do not appear to shape core biases in event perception and memory. (shrink)

This article considers the implications of recent research on judgmental processes for the assessment of subjective probability distributions. It is argued that since man is a selective, sequential information processing system with limited capacity, he is ill-suited for assessing probability distributions. Various studies attesting to man's difficulties in acting as an "intuitive statistician" are summarized in support of this contention. The importance of task characteristics on judgmental performance is also emphasized. A critical survey of the probability assessment literature is provided (...) and organized around five topics: the "meaningfulness" of probability assessments; methods of eliciting distributions; feedback and evaluation of assessors; differential ability of groups of assessors and the problems of eliciting a single distribution from a group of assessors. Conclusions from the analysis with respect to future work include the need to capitalize on cognitive simplification mechanisms; making assessors aware of both human limitations and the effects of task characteristics; and emphasizing feedback concerning the nature of the task at hand. (shrink)