895 resultados para sociomoral reasoning


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It has reported that individuals with nonverbal learning disabilities (NLD) have deficits in visual-spatial organization and strengths in rote language abilities. At present, there are few studies on higher order cognitive abilities of adolescents with NLD, such as the reasoning about spatial relations. The study sampled three groups: a normal group (a control group, C), a nonverbal learning disabilities group (NLD), and a verbal learning disabilities group (VLD). The aim of this study was to examine spatial and nonspatial relation reasoning abilities in adolescents with NLD under figure and word conditions, and assessed the relative involvement of different working memory components in four types of reasoning tasks: reasoning about figure-spatial, figure-nonspatial, verbal-spatial, and verbal-nonspatial relations. Using the double-tasks methodology, visual, spatial, central-executive, and phonological loads were realized. We tried to find how working memory components impact on adolescents with NLD spatial and nonspatial reasoning. The main results of present research are as follows. (1) The NLD group didn’t differ from normal group on reasoning about figure-nonspatial relations. The NLD group scored lower than the C group in spatial problems. So, adolescents with NLD showed a dissociation between spatial and non-spatial relation reasoning. They scored higher in non-spatial problems than in spatial ones. Adolescents with VLD developed well in reasoning about figure-nonspatial relations, but showed deficits in other three tasks. (2) For each reasoning task, the difficult of four types of reasoning problem had different changing trend. For figure and verbal spatial problems, mental model approach can interpret performance of the four problems well. For verbal nonspatial problems, a logical rule approach can interpret performance of the four problems well. (3) Adolescents with NLD did not differ from adolescents with VLD and normal adolescents in phonological, central-executive, and visual dual tasks. But the NLD group had lower performance than the other two groups in spatial dual task. The results showed a dissociation between visual and spatial working memory in NLD group. The VLD group only experienced deficits in central-executive subsystem. (4) The studies found that spatial reasoning mainly loaded spatial working memory, whist the involvement of spatial resources in nonspatial reasoning was little. Visual working memory mainly involved in reasoning about spatial and figure-nonspatial relations, especially in figure-nonspatial problems, and had few impacts on verbal-nonspatial reasoning. Central executive system was involved in all reasoning tasks. The role of phonological loop in the reasoning tasks required further explored. (5) According to the findings, we concluded that the deficits in spatial working memory resulted in poor spatial reasoning abilities for teenagers with NLD, whist because of the limited central executive capability, teenagers with VLD showed poor reasoning abilities. (6) The three groups can used multiple strategies during the reasoning process. They didn’t differ from each other in reasoning strategies. They all used mental model strategy to solve figure and verbal spatial problems, and used logic rule strategy to solve verbal nonspatial problems.

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Moral decision-making in business means the decisions involved in moral issues in business context. Moral intensity is a construct that captures the extent of issue-related moral imperative in a situation, which is one of the most important factors in the study of moral decision-making in business. Based on Issue-Contingent Model, the present study investigated the influence of moral intensity on moral decision-making in business (including moral recognition, moral judgment, and moral intent in the present study), and further focused on exploring the mechanism of moral intensity in moral decision-making in business. Recently, the studies in decision-making gave more emphasis to the role of emotions. The present study tried to include empathy into moral decision-making in business to explore the role of empathy in the relationship between moral intensity and moral decision-making in business, which would enrich and extend Issue-Contingent Model. The present study would also make up for a deficiency in the study of moral decision-making in business that overemphasized the rational reasoning and neglected the role of emotions. There were three parts in the present study. Firstly, study 1 replicated the former study and explored the relationship between perceived moral intensity and moral decision-making in business in China by questionnaire method. Secondly, study 2 focused on exploring the influence of the components of moral intensity on moral decision-making in business and empathic response by experimental method. Finally, study 3 explored the role of empathy in the relationship between moral intensity and moral decision-making in business. The results indicated that, 1.Perceived moral intensity was the significant predictor for moral decision- making in business. 2.Magnitude of consequence, social consensus, and probability of effect had significant effects on moral decision-making in business. Magnitude of consequence and probability of effect could influence empathic response significantly. 3.Empathic response played the role of mediator between moral intensity and moral decision-making in business. Empathic response completely mediated the relationship between moral intensity and moral recognition. Empathic response partly mediated the relationship between moral intensity and moral judgment, moral intent. Further analysis indicated that probability of effect and magnitude of consequence relied more on empathic response than social consensus to influence moral judgment and moral intent. Dispositional empathy could influence moral decision-making in business through perceived moral intensity and empathic response. 4.Controlled empathic levels could influence moral decision-making in business significantly. Empathic levels influenced the effect of probability of effect on moral decision-making in business, and did not influence the effect of magnitude of consequence and social consensus on moral decision-making in business. These findings not only contribute to enrich the models of moral decision- making in business, but also have significant practical applications in the training of moral decision-making in business.

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As the foundation of other human resource practices, job analysis plays an essential role in HR management. Exploring sources of variance in job analysis ratings given by incumbents from the same job is of much significance to HRM practices. It can also shed lights on employee motivation in organizations. But previous studies in job analysis field have usually been conducted at individual level and take variance in job analysis ratings given by incumbents of the same job as error or bias. This dissertation takes the position that the variance may be meaningful based on role theory and other relevant theories. It first reviewed pervious studies on factors which may influence job analysis ratings provided by incumbents of the same job, and then investigated individual, interpersonal and organizational level variables which may exert impacts on these job analysis ratings, using multilevel data from 8 jobs of 1124 incumbents. The major findings are as follows: 1) Level of job performance and job attitudes affect incumbents’ job analysis ratings by incumbents of the same job at individual level. Specifically, incumbents with high level of job performance rated their job require higher levels of technical skills (power plant designers), and regarded information processing activities as more important to their job (book editors). Regarding the effects of job attitudes, incumbents of the four jobs with high level of job satisfaction gave higher importance and level ratings on organizational and cognitive skills, as well as higher level ratings on technical skills. Further, incumbents with higher affective commitment provided higher importance and level ratings of cognitive skills. Lastly, more involved job incumbents perceived organizational skills and cognitive skills as more important, and required at higher levels, for their job. 2) Leader-Member Exchange and goal structure also have effects on job analysis ratings by incumbents of the same job at interpersonal level. In good quality LMX relationship, news reporters rated decision-making activities and interpersonal activities as more important to their job. On the other side, when book editors structured their goals as cooperative with others’, they provided higher importance ratings on reasoning and interpersonal skills, and related personality requirements, as well as higher level ratings on reasoning abilities. 3) Worker requirements for the identical job are distinct from one organization to another. Specifically, there were between-organization differences in achievement orientation and conscientiousness related personality requirements. In addition, two dimensions of organizational culture, achievement-oriented culture and integrity-oriented culture in particular, were significantly associated with importance ratings of achievement orientation and conscientiousness related personality requirements respectively. Furthermore, achievement-oriented culture both directly and indirect (through job involvement) influenced achievement orientation related personality requirements. The results indicate that variation in job analysis ratings provided by incumbents of the same job may be meaningful. Future job analysis studies and practices should consider the impacts of these individual, interpersonal and organizational level factors on job analysis information. The results also have important implications for employee motivation concerning how organizational demands can be transformed into specific job and worker requirements.

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Transfer of learning is one of the major concepts in educational psychology. As cognitive psychology develops, many researchers have found that transfer plays an important part in problem solving, and the awareness of the similarity of related problems is important in transfer. So they become more interested in researching the problem of transfer. But in the literature of transfer research, it has been found that many researchers do not hold identical conclusions about the influence of awareness of related problems during problem solving transfer. This dissertation is written on the basic of much of sub-research work, such as looking up literature concerning transfer of problem solving research, comparing the results of research work done recently and experimental researches. The author of this dissertation takes middle school students as subjects, geometry as materials, and adopts factorial design in his experiments. The influence of awareness of related problems on problem solving transfer is examined from three dimensions which are the degree of difficulty of transfer problems, the level of awareness of related problems and the characteristics of subjects themselves. Five conclusions have been made after the experimental research: (1) During the process of geometry problem solving, the level of awareness of related problems is one of the major factors that influence the effect of problem solving transfer. (2) Either more difficult or more easy of the transfer problems will hinder the influence of awareness of related problems during problem solving transfer, and the degree of difficulty of the transfer problems have interactions with the level of awareness of related problems in affecting transfer. (3) During geometry problems solving transfer, the level of awareness of related problems has interactions with the degree of student achievement. Compared with the students who have lower achievement, the influence of the level of the awareness is bigger in the students who have higher achievement. (4) There is positive correlation between geometry achievement and reasoning ability of the middle school students. The student who has higher reasoning ability has higher geometry achievement, while the level of awareness is raised, the transfer achievement of both can be raised significantly. (5) There is positive correlation between geometry achievement and cognitive style of the middle school students. The student who has independent field tendency of cognitive style has higher geometry achievement, while the level of awareness is raised, the transfer achievement of both can be raised significantly. At the end of the dissertation, the researcher offers two proposals concerning Geometry teaching on the basis of the research findings.

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In this study, bibliometric method was usded in the investigation of 2274 papers concerning child developmental and educational psychology, which were published during the ten years of 1979-1988, in 14 psychological journals and 97 other scientific journals. According to the quantitative and qualitative analyses, the results are as follows: 1979-1988 saw the rapid development and prosperous period in China's child developmental and educational psychology, During which more papers were published and more fields couched than in the psvious thirty years. The number of literature publications increased and went to the peak in 1983 and 1984, and came down since 1985. The trend was found to result from the decrease in popular science introductions of psychology, which reflected that a heat of psychology had appeared in 1983 and started to cool in 1985. At the mean time, the number of research reports had been holding a steady increase by 1987 and decreased obviously in 1988, especially in the fields of cognitive and social development. There could be several possible explanations of this phenonemon: Piagetian studies are becoming fewer and the eakening of Piaget's influence might predict a period of standstill in the field of developmental psychology in China; As researches become more and more difficult, researchers have turned to be more cautious in lay out their reports; the cutdown of fees and staff could also be one of reasons for less publication in 1988. As the factors mentioned above still exist and their influences last, the number of papers are not expected to increase in the near future. The field of thinking and menory is closely connected with that of artificial intelligence. The downhill situations in these two fileds should be taken seriously. 2. The types of research work are divided on the bases of their problem raising. The trends show that the deepening studies, which represent a comaratively higher level of exploration, are waving fewer, while repeated studies and creative studies are becoming more as the years go along. This fact is worth being further analysed. Big progress could be seen from research methods. The methods currently used are mainly experiment, psychological measurement and assessment, and theoretical reasoning. There is a rapid increase of research by using scales. Wechsler Intelligence Scale for Children, Binet Scale and Baley Scale have been revised andstandardized. Chinese researchers have also developed several good scales of their own, some of which are valuable and need to be standardized. In the papers investigated, the amount of citation is significantly lower than the world average level as well as the average citation number of whole China's scientific literature. Among the papers cited, most are of Chinese and English languages, and only a small rate were published in resently five years. The renewal of literature cited seems to stay at a low level in the ten years. Tremendous work could be reflected by the number of subjects used the research work in those ten years: 362665. A lot of studies piled on the period of 4-16 year olds. Compared with the previous thirty years, the age range was much enlarged and there were quite a few studies about preschool, school and adolescent periods. The study of newborn of 0-3 has been a weak point so far and it is a field to which chinese developmental psychologists should pay more attention. The progress in using statistics is one of the most obvious part in the development in the research work of child developmental and educational psychology. The one tendency that should be awared and avoid is to put the cart before the horse: seeking for more sophisticated statistic method while neglecting the meanings of research problems. 3. Citation analysis was used in selecting scholars who had great influence in the field of child developmental and educational psychology. Among the often cited and famous scholars, 31 are Chinese researchers and 12 are Western psychologists. The authoritative journal for child developmental psychology and educational psychology is Acta Psychologica Sinica.

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We describe the automatic synthesis of a global nonlinear controller for stabilizing a magnetic levitation system. The synthesized control system can stabilize the maglev vehicle with large initial displacements from an equilibrium, and possesses a much larger operating region than the classical linear feedback design for the same system. The controller is automatically synthesized by a suite of computational tools. This work demonstrates that the difficult control synthesis task can be automated, using programs that actively exploit knowledge of nonlinear dynamics and state space and combine powerful numerical and symbolic computations with spatial-reasoning techniques.

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Classical mechanics is deceptively simple. It is surprisingly easy to get the right answer with fallacious reasoning or without real understanding. To address this problem we use computational techniques to communicate a deeper understanding of Classical Mechanics. Computational algorithms are used to express the methods used in the analysis of dynamical phenomena. Expressing the methods in a computer language forces them to be unambiguous and computationally effective. The task of formulating a method as a computer-executable program and debugging that program is a powerful exercise in the learning process. Also, once formalized procedurally, a mathematical idea becomes a tool that can be used directly to compute results.

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In a Communication Bootstrapping system, peer components with different perceptual worlds invent symbols and syntax based on correlations between their percepts. I propose that Communication Bootstrapping can also be used to acquire functional definitions of words and causal reasoning knowledge. I illustrate this point with several examples, then sketch the architecture of a system in progress which attempts to execute this task.

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I have invented "Internet Fish," a novel class of resource-discovery tools designed to help users extract useful information from the Internet. Internet Fish (IFish) are semi-autonomous, persistent information brokers; users deploy individual IFish to gather and refine information related to a particular topic. An IFish will initiate research, continue to discover new sources of information, and keep tabs on new developments in that topic. As part of the information-gathering process the user interacts with his IFish to find out what it has learned, answer questions it has posed, and make suggestions for guidance. Internet Fish differ from other Internet resource discovery systems in that they are persistent, personal and dynamic. As part of the information-gathering process IFish conduct extended, long-term conversations with users as they explore. They incorporate deep structural knowledge of the organization and services of the net, and are also capable of on-the-fly reconfiguration, modification and expansion. Human users may dynamically change the IFish in response to changes in the environment, or IFish may initiate such changes itself. IFish maintain internal state, including models of its own structure, behavior, information environment and its user; these models permit an IFish to perform meta-level reasoning about its own structure. To facilitate rapid assembly of particular IFish I have created the Internet Fish Construction Kit. This system provides enabling technology for the entire class of Internet Fish tools; it facilitates both creation of new IFish as well as additions of new capabilities to existing ones. The Construction Kit includes a collection of encapsulated heuristic knowledge modules that may be combined in mix-and-match fashion to create a particular IFish; interfaces to new services written with the Construction Kit may be immediately added to "live" IFish. Using the Construction Kit I have created a demonstration IFish specialized for finding World-Wide Web documents related to a given group of documents. This "Finder" IFish includes heuristics that describe how to interact with the Web in general, explain how to take advantage of various public indexes and classification schemes, and provide a method for discovering similarity relationships among documents.

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We describe a program called SketchIT capable of producing multiple families of designs from a single sketch. The program is given a rough sketch (drawn using line segments for part faces and icons for springs and kinematic joints) and a description of the desired behavior. The sketch is "rough" in the sense that taken literally, it may not work. From this single, perhaps flawed sketch and the behavior description, the program produces an entire family of working designs. The program also produces design variants, each of which is itself a family of designs. SketchIT represents each family of designs with a "behavior ensuring parametric model" (BEP-Model), a parametric model augmented with a set of constraints that ensure the geometry provides the desired behavior. The construction of the BEP-Model from the sketch and behavior description is the primary task and source of difficulty in this undertaking. SketchIT begins by abstracting the sketch to produce a qualitative configuration space (qc-space) which it then uses as its primary representation of behavior. SketchIT modifies this initial qc-space until qualitative simulation verifies that it produces the desired behavior. SketchIT's task is then to find geometries that implement this qc-space. It does this using a library of qc-space fragments. Each fragment is a piece of parametric geometry with a set of constraints that ensure the geometry implements a specific kind of boundary (qcs-curve) in qc-space. SketchIT assembles the fragments to produce the BEP-Model. SketchIT produces design variants by mapping the qc-space to multiple implementations, and by transforming rotating parts to translating parts and vice versa.

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This report describes MM, a computer program that can model a variety of mechanical and fluid systems. Given a system's structure and qualitative behavior, MM searches for models using an energy-based modeling framework. MM uses general facts about physical systems to relate behavioral and model properties. These facts enable a more focussed search for models than would be obtained by mere comparison of desired and predicted behaviors. When these facts do not apply, MM uses behavior-constrained qualitative simulation to verify candidate models efficiently. MM can also design experiments to distinguish among multiple candidate models.

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There has been much interest in the area of model-based reasoning within the Artificial Intelligence community, particularly in its application to diagnosis and troubleshooting. The core issue in this thesis, simply put, is, model-based reasoning is fine, but whence the model? Where do the models come from? How do we know we have the right models? What does the right model mean anyway? Our work has three major components. The first component deals with how we determine whether a piece of information is relevant to solving a problem. We have three ways of determining relevance: derivational, situational and an order-of-magnitude reasoning process. The second component deals with the defining and building of models for solving problems. We identify these models, determine what we need to know about them, and importantly, determine when they are appropriate. Currently, the system has a collection of four basic models and two hybrid models. This collection of models has been successfully tested on a set of fifteen simple kinematics problems. The third major component of our work deals with how the models are selected.

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The Listener is an automated system that unintrusively performs knowledge acquisition from informal input. The Listener develops a coherent internal representation of a description from an initial set of disorganized, imprecise, incomplete, ambiguous, and possibly inconsistent statements. The Listener can produce a summary document from its internal representation to facilitate communication, review, and validation. A special purpose Listener, called the Requirements Apprentice (RA), has been implemented in the software requirements acquisition domain. Unlike most other requirements analysis tools, which start from a formal description language, the focus of the RA is on the transition between informal and formal specifications.

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This research is concerned with designing representations for analytical reasoning problems (of the sort found on the GRE and LSAT). These problems test the ability to draw logical conclusions. A computer program was developed that takes as input a straightforward predicate calculus translation of a problem, requests additional information if necessary, decides what to represent and how, designs representations capturing the constraints of the problem, and creates and executes a LISP program that uses those representations to produce a solution. Even though these problems are typically difficult for theorem provers to solve, the LISP program that uses the designed representations is very efficient.

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Software bugs are violated specifications. Debugging is the process that culminates in repairing a program so that it satisfies its specification. An important part of debugging is localization, whereby the smallest region of the program that manifests the bug is found. The Debugging Assistant (DEBUSSI) localizes bugs by reasoning about logical dependencies. DEBUSSI manipulates the assumptions that underlie a bug manifestation, eventually localizing the bug to one particular assumption. At the same time, DEBUSSI acquires specification information, thereby extending its understanding of the buggy program. The techniques used for debugging fully implemented code are also appropriate for validating partial designs.