Phrasal Unit Boundaries and Organization of Turns and Sequences in Korean Conversation

This paper examines an aspect of the grammar-interaction interface with respect to how participants orient to intra-turn phrasal unit boundaries as a locus that has interactional import for turn and sequence organization in Korean conversation. Phrasal unit boundaries in Korean serve as a space within a turn in which the speaker of the turn in-progress invites the recipient to acknowledge the speaker's point expressed up-to-that-point and collaboratively display his/her understanding thereof. In a sequentially and topically 'ripe' context, such unit boundaries often constitute places where more active participation on the part of the recipient is invited in the form of collaborative completion in which the recipient co-constructs the primary speaker's on-going turn. Phrasal unit boundaries also provide interactional resources which the speaker may exploit to sequentially delete out a problem in talk, e.g., by a sort of tying operation in which a subsequently added phrasal unit ties back to the speaker's previous utterance to the effect that the intervening talk containing a problem is canceled out by way of being shown to have been an interruption of the speaker's turn in-progress. This practice points to an aspect of the way in which the 'agglutinative' grammatical process involving the use of phrasal units shapes interactional patterns as observed in the course of organizing turns/sequences and managing problems in talk.     

Impacts of artificial intelligence on organizational decision making

Of all of the new technologies emerging in the late 20th century, the production of artificial intelligence may provide the most profound impacts on organizational decision making. Because the development of artificial intelligence technologies and models has largely been based on psychological models of human cognition, the effects of their implementation in complex social settings have not been thoroughly examined. This paper is an attempt to generate research which will develop a comprehensive understanding of the impacts of artificial intelligence and its role in complex organizations. A set of 11 hypotheses has been developed which examine the relationships between artificial intelligence technologies and the dimensions of organizational decision making. It is argued here that the implementation of expert systems will lead to less complex and political decision processes, while the implementation of natural language systems will lead to more complex and political decision processes.     

PARENTAL TRAINING OF THE PLURAL MORPHEME IN NORMAL TODDLERS1

Experimental studies with young normal children can provide useful strategy for the functional analysis of language. Research by Whitehurst (Journal of Experimental Child Psychology, 1972, 13 , 502–515) exemplifies this approach, in which 2-yr-old children were exposed to a training procedure that involved imitation and differential reinforcement for a two-word productive sequence of the adjective-noun form. Results indicated that these young children could be trained to produce rudimentary novel utterances that were grammatically appropriate. More recently, Hursh and Sherman (Journal of Experimental Child Psychology, 1973, 15 , 328–339) reported the existence of a functional relationship between parental modelling and reinforcement of vocalizations, and increased instances of these vocalizations in young (15- to 20-month-old) children. These demonstrations relate to a summary of findings with linguistically deviant populations discussed by Sherman (Advances in Child Development, 1971). The present study attempts to extend these “generative” investigations to normal children and to provide useful information for those interested in teaching speech forms to them. Modelling and differential reinforcement were used by three mothers to establish the use of the plural morpheme in the speech of their 19- to 25-month-old children. During training trials, verbal praise was presented contingent on correct labelling of singular and plural items, while correct labelling was modelled if the child responded incorrectly. Children learned to label specifically trained sets of singular and plural items and also exhibited correct labelling when asked to label never-trained singular and plural items. After establishing correct usage, the same training procedures were used to train reversed labelling (plural responses to single items and singular responses to plural items). This produced a corresponding reversal of responding (both trained and untrained items) by each child for the plural items but not for singular items. Correct singular and plural labelling was recovered by returning to the initial procedures.     

Computer supported mathematics with Ωmega

Classical automated theorem proving of today is based on ingenious search techniques to find a proof for a given theorem in very large search spaces—often in the range of several billion clauses. But in spite of many successful attempts to prove even open mathematical problems automatically, their use in everyday mathematical practice is still limited.The shift from search based methods to more abstract planning techniques however opened up a paradigm for mathematical reasoning on a computer and several systems of that kind now employ a mix of interactive, search based as well as proof planning techniques.The Ωmega system is at the core of several related and well-integrated research projects of the Ωmega research group, whose aim is to develop system support for a working mathematician as well as a software engineer when employing formal methods for quality assurance. In particular, Ωmega supports proof development at a human-oriented abstract level of proof granularity. It is a modular system with a central proof data structure and several supplementary subsystems including automated deduction and computer algebra systems. Ωmega has many characteristics in common with systems like NuPrL, CoQ, Hol, Pvs, and Isabelle. However, it differs from these systems with respect to its focus on proof planning and in that respect it is more similar to the proof planning systems Clam and λClam at Edinburgh.     

The influence of complexes on implicit learning

A century ago, Jung looked into the unconscious through complexes by using word association tests. Jung wrote, 'modern psychology with its investigation of complexes has opened up a psychic taboo area riddled with hopes and fears', and complexes remain an unexplored taboo area of research. In the present study, we have investigated the influence of complexes on unconscious cognitive processing, in particular on implicit learning. We have found that complexes shown to disturb conscious cognitive processing in fact enhanced the attention of the subjects and their performance on an implicit learning task. These results suggest that complexes are not just abstractions, but have various actual influences on both conscious and unconscious processing.     

The Dependency Structure of Coordinate Phrases: A Corpus Approach

Hudson (1990) proposes that each conjunct in a coordinate phrase forms dependency relations with heads or dependents outside the coordinate phrase (the “multi-head” view). This proposal is tested through corpus analysis of Wall Street Journal text. For right-branching constituents (such as direct-object NPs), a short-long preference for conjunct ordering is observed; this is predicted by the multi-head view, under the assumption that structures resulting in shorter dependencies are preferred. A short-long preference is also observed for left-branching constituents (such as subject NPs), which is less obviously accommodated by the multi-head view but not incompatible with it. The repetition of determiners was also examined (the dog and cat versus the dog and the cat), and a stronger preference was found for repetition with singular count nouns as opposed to mass or plural nouns; this accords well with the multi-head view, under the reasoning that single-determiner constructions require crossing dependencies with count nouns but not with plural or mass nouns.     

Robustness of the rule-learning effect in 7-month-old infants: A close,multicenter replication of Marcus et al. (1999)

We conducted a close replication of the seminal work by Marcus and colleagues from 1999, which showed that after a brief auditory exposure phase, 7-month-old infants were able to learn and generalize a rule to novel syllables not previously present in the exposure phase. This work became the foundation for the theoretical framework by which we assume that infants are able to learn abstract representations and generalize linguistic rules. While some extensions on the original work have shown evidence of rule learning, the outcomes are mixed, and an exact replication of Marcus et al.'s study has thus far not been reported. A recent meta-analysis by Rabagliati and colleagues brings to light that the rule-learning effect depends on stimulus type (e.g., meaningfulness, speech vs. nonspeech) and is not as robust as often assumed. In light of the theoretical importance of the issue at stake, it is appropriate and necessary to assess the replicability and robustness of Marcus et al.'s findings. Here we have undertaken a replication across four labs with a large sample of 7-month-old infants (N = 96), using the same exposure patterns (ABA and ABB), methodology (Headturn Preference Paradigm), and original stimuli. As in the original study, we tested the hypothesis that infants are able to learn abstract “algebraic” rules and apply them to novel input. Our results did not replicate the original findings: infants showed no difference in looking time between test patterns consistent or inconsistent with the familiarization pattern they were exposed to.     

Using an AI creativity system to explore how aesthetic experiences are processed along the brain’s perceptual neural pathways

With the increased sophistication of AI techniques, the application of these systems has been expanding to ever newer fields. Increasingly, these systems are being used in modeling of human aesthetics and creativity, e.g. how humans create artworks and design products. Our lab has developed one such AI creativity deep learning system that can be used to create artworks in the form of images and videos. In this paper, we describe this system and its use in studying the human visual system and the formation of aesthetic experiences. Specifically, we show how time-based AI created media can be used to explore the nature of the dual-pathway neuro-architecture of the human visual system and how this relates to higher cognitive judgments such as aesthetic experiences that rely on these divergent information streams. We propose a theoretical framework for how the movement within percepts such as video clips, causes the engagement of reflexive attention and a subsequent focus on visual information that are primarily processed via the dorsal stream, thereby modulating aesthetic experiences that rely on information relayed via the ventral stream. We outline our recent study in support of our proposed framework, which serves as the first study that investigates the relationship between the two visual streams and aesthetic experiences.     

内隐学习与外显学习的相互关系

对内隐与外显学习过程的相互作用进行了探讨。被试为上海高二学生 10 0人 ,实验通过限定状态语法和双条件语法两种材料的会聚操作对 5种实验条件进行了比较。研究结果表明 :(1)内隐学习具有很强的抽象性 ,本研究首次对此给予了高度评价 ;(2 )内隐与外显学习存在相互作用 ,在学习过程中 ,时而互相促进 ,时而互相冲突 ,时而内隐学习贡献大 ,时而外显学习贡献大 ,本研究探明了内隐学习与外显学习的贡献谁大谁小 ,视学习材料的难度而定。实验启示 ,在人类的学习和生活中 ,内隐学习及其与外显学习的相互作用起着不可估量的作用 !     

Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: investigating the push-down stack model

A recent hypothesis in empirical brain research on language is that the fundamental difference between animal and human communication systems is captured by the distinction between finite-state and more complex phrase-structure grammars, such as context-free and context-sensitive grammars. However, the relevance of this distinction for the study of language as a neurobiological system has been questioned and it has been suggested that a more relevant and partly analogous distinction is that between non-adjacent and adjacent dependencies. Online memory resources are central to the processing of non-adjacent dependencies as information has to be maintained across intervening material. One proposal is that an external memory device in the form of a limited push-down stack is used to process non-adjacent dependencies. We tested this hypothesis in an artificial grammar learning paradigm where subjects acquired non-adjacent dependencies implicitly. Generally, we found no qualitative differences between the acquisition of non-adjacent dependencies and adjacent dependencies. This suggests that although the acquisition of non-adjacent dependencies requires more exposure to the acquisition material, it utilizes the same mechanisms used for acquiring adjacent dependencies. We challenge the push-down stack model further by testing its processing predictions for nested and crossed multiple non-adjacent dependencies. The push-down stack model is partly supported by the results, and we suggest that stack-like properties are some among many natural properties characterizing the underlying neurophysiological mechanisms that implement the online memory resources used in language and structured sequence processing.