965 resultados para dependency claim


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As a well-related concept with close relationship, dispositional romantic jealousy (worrying about the romantic relationship will decrease or be threatened because of the rival) is accepted more and more attention. As the first system study on romantic jealousy under Chinese culture, this study use the combinative methods of questionnaire survey and provided situation-imagine design to study the dispositional romantic jealousy and get some conclusions. 1、The structure of the dispositional romantic jealousy in Chinese undergraduate students consist of three factors: suspicion , exclusivity and dependency . The scale of romantic jealousy has good reliability and validity. 2、The dispositional romantic jealousy can well predict the love attitudes and love experiences. The three factors respectively have different relationship with the love attitudes and love experiences. 3、Comparing with the high self-esteem samples, low self-esteem (include explicit self-esteem, and special implicit self-esteem) samples express more dispositional romantic jealousy among some of the three aspects: suspicion , exclusivity and dependency. 4、Those who get high scores on Scale of Social Comparison Orientation have far more remarkable dispositional romantic jealousy than those who get low scores, the difference exits in three factors: suspicion , exclusivity and dependency. 5、The result of SEM tells us that explicit self-esteem and special implicit self-esteem can negetivly predict some of the three factors of the dispositional romantic jealousy. And special implicit self-esteem also can predict the jealous emotional reaction .Social comparison orientation can predict all three factors of the disposition. And all three factors can positively predict jealous emotional reaction. These findings help us identify the structure of the dispositional romantic jealousy and know more about the influence factors of dispositional romantic jealousy. So we can provide an academic reference on the prevention and intervention of the conflicts among marriage and love relationships.

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Data on meaning of working (MOW) were collected from 905 respondents in Beijing area through a stratified sampling procedure of the questionnaire used in the restudy of meaning of working (which is still on going, adapted for using in China). Some parts of the factor structure obtained in this study are similar to what found by the MOW International Research Team (1987). Detailed analysis and cross-cultural comparisons were concentrated on the most similar parts societal norms about working (SNW). T-scores of the obligation norm (ON) and entitlement norm (EN) of Chinese were calculated based on the reaction frequencies of relevant items provided by the MOW International Research Team and shown as follows. The results reveal the obligation orientation characteristic of Chinese respondents. And more, 4 SNW patterns of Chinese respondents were obtained through multivariate cluster analysis and multivariate discrimination analysis and shown as follows. The influences of antecedent variables on SNW and the consequences of SNW were analyzed. Two questions were raised from these analyses: 1) The present measurements of SNW are not able to reflect the nature of the relation and dependency between ON and EN and are not free from social desirability; 2) the relationship between SNW and actual working behaviors need to be tested while the relationship between SNW and several work intentions was confirmed. A forced-choice scale of SNW was designed to overcome the shortcomes of the original scale. This scale includes 30 items. Each item is composed of a ON statement and a EN statement with similar values of social desirability. A repertory grids test was used to exam the constructure validity and to analyze the differences of cognitive structures of the 4 SNW patterns. The results indicated that the new scale had a good discrimination power. An experiment was designed to test the relationship of SNW and the actual work behaviors of the respondents. The respondents' action in completing a task was chosen as working behavior index. 4 hypotheses were tested: 1) higher obligation orientation subjects are more likely to complete tasks no matter overtime; 2) scheduled tasks are more likely to be completed no matter overtime; 3) the obligation norm about working is positively correlated with general obligation norms; and, 4) external motivtors will enhance lower obligation orientation subjects' working motivation more than higher obligation orientation subjects' the results verified hypothesis 1 and 3, but didn't support hypothesis 2 and 4 these findings will have great implication in administrating.

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Most knowledge representation languages are based on classes and taxonomic relationships between classes. Taxonomic hierarchies without defaults or exceptions are semantically equivalent to a collection of formulas in first order predicate calculus. Although designers of knowledge representation languages often express an intuitive feeling that there must be some advantage to representing facts as taxonomic relationships rather than first order formulas, there are few, if any, technical results supporting this intuition. We attempt to remedy this situation by presenting a taxonomic syntax for first order predicate calculus and a series of theorems that support the claim that taxonomic syntax is superior to classical syntax.

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We describe a psychophysical investigation of the effects of object complexity and familiarity on the variation of recognition time and recognition accuracy over different views of novel 3D objects. Our findings indicate that with practice the response times for different views become more uniform and the initially orderly dependency of the response time on the distance to a "good" view disappears. One possible interpretation of our results is in terms of a tradeoff between memory needed for storing specific-view representations of objects and time spent in recognizing the objects.

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Computers and Thought are the two categories that together define Artificial Intelligence as a discipline. It is generally accepted that work in Artificial Intelligence over the last thirty years has had a strong influence on aspects of computer architectures. In this paper we also make the converse claim; that the state of computer architecture has been a strong influence on our models of thought. The Von Neumann model of computation has lead Artificial Intelligence in particular directions. Intelligence in biological systems is completely different. Recent work in behavior-based Artificial Intelligenge has produced new models of intelligence that are much closer in spirit to biological systems. The non-Von Neumann computational models they use share many characteristics with biological computation.

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This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as moments extracted from video silhouettes of human walking motion. We claim that our gait dynamics representation is rich enough for the task of recognition and classification. The use of our feature representation is demonstrated in the task of person recognition from video sequences of orthogonal views of people walking. We demonstrate the accuracy of recognition on gait video sequences collected over different days and times, and under varying lighting environments. In addition, preliminary results are shown on gender classification using our gait dynamics features.

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This paper explores the relationships between a computation theory of temporal representation (as developed by James Allen) and a formal linguistic theory of tense (as developed by Norbert Hornstein) and aspect. It aims to provide explicit answers to four fundamental questions: (1) what is the computational justification for the primitive of a linguistic theory; (2) what is the computational explanation of the formal grammatical constraints; (3) what are the processing constraints imposed on the learnability and markedness of these theoretical constructs; and (4) what are the constraints that a linguistic theory imposes on representations. We show that one can effectively exploit the interface between the language faculty and the cognitive faculties by using linguistic constraints to determine restrictions on the cognitive representation and vice versa. Three main results are obtained: (1) We derive an explanation of an observed grammatical constraint on tense?? Linear Order Constraint??m the information monotonicity property of the constraint propagation algorithm of Allen's temporal system: (2) We formulate a principle of markedness for the basic tense structures based on the computational efficiency of the temporal representations; and (3) We show Allen's interval-based temporal system is not arbitrary, but it can be used to explain independently motivated linguistic constraints on tense and aspect interpretations. We also claim that the methodology of research developed in this study??oss-level" investigation of independently motivated formal grammatical theory and computational models??a powerful paradigm with which to attack representational problems in basic cognitive domains, e.g., space, time, causality, etc.

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PILOT is a programming system constructed in LISP. It is designed to facilitate the development of programs by easing the familiar sequence: write some code, run the program, make some changes, write some more code, run the program again, etc. As a program becomes more complex, making these changes becomes harder and harder because the implications of changes are harder to anticipate. In the PILOT system, the computer plays an active role in this evolutionary process by providing the means whereby changes can be effected immediately, and in ways that seem natural to the user. The user of PILOT feels that he is giving advice, or making suggestions, to the computer about the operation of his programs, and that the system then performs the work necessary. The PILOT system is thus an interface between the user and his program, monitoring both in the requests of the user and operation of his program. The user may easily modify the PILOT system itself by giving it advice about its own operation. This allows him to develop his own language and to shift gradually onto PILOT the burden of performing routine but increasingly complicated tasks. In this way, he can concentrate on the conceptual difficulties in the original problem, rather than on the niggling tasks of editing, rewriting, or adding to his programs. Two detailed examples are presented. PILOT is a first step toward computer systems that will help man to formulate problems in the same way they now help him to solve them. Experience with it supports the claim that such "symbiotic systems" allow the programmer to attack and solve more difficult problems.

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The thesis developed here is that reasoning programs which take care to record the logical justifications for program beliefs can apply several powerful, but simple, domain-independent algorithms to (1) maintain the consistency of program beliefs, (2) realize substantial search efficiencies, and (3) automatically summarize explanations of program beliefs. These algorithms are the recorded justifications to maintain the consistency and well founded basis of the set of beliefs. The set of beliefs can be efficiently updated in an incremental manner when hypotheses are retracted and when new information is discovered. The recorded justifications also enable the pinpointing of exactly whose assumptions which support any particular belief. The ability to pinpoint the underlying assumptions is the basis for an extremely powerful domain-independent backtracking method. This method, called Dependency-Directed Backtracking, offers vastly improved performance over traditional backtracking algorithms.

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This paper addresses the problem of efficiently computing the motor torques required to drive a lower-pair kinematic chain (e.g., a typical manipulator arm in free motion, or a mechanical leg in the swing phase) given the desired trajectory; i.e., the Inverse Dynamics problem. It investigates the high degree of parallelism inherent in the computations, and presents two "mathematically exact" formulations especially suited to high-speed, highly parallel implementations using special-purpose hardware or VLSI devices. In principle, the formulations should permit the calculations to run at a speed bounded only by I/O. The first presented is a parallel version of the recent linear Newton-Euler recursive algorithm. The time cost is also linear in the number of joints, but the real-time coefficients are reduced by almost two orders of magnitude. The second formulation reports a new parallel algorithm which shows that it is possible to improve upon the linear time dependency. The real time required to perform the calculations increases only as the [log2] of the number of joints. Either formulation is susceptible to a systolic pipelined architecture in which complete sets of joint torques emerge at successive intervals of four floating-point operations. Hardware requirements necessary to support the algorithm are considered and found not to be excessive, and a VLSI implementation architecture is suggested. We indicate possible applications to incorporating dynamical considerations into trajectory planning, e.g. it may be possible to build an on-line trajectory optimizer.

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Transport and its energetic and environmental impacts affect our daily lives. The transport sector is the backbone of the United Kingdom’s economy with 2.3 million people being employed in this sector. With a high dependency on transport for passengers and freight and with the knowledge that oil reserves are rapidly decreasing a solution has to be identified for conserving fuel. Passenger vehicles account for 61% of the transport fuel consumed in the U.K. and should be seen as a key area to tackle. Despite the introduction and development of electric powered cars, the widespread infrastructure that is required is not in place and has attributed to their slow uptake, as well as the fact that the electric car’s performance is not yet comparable with the conventional internal combustion engine. The benefits of the introduction of kinetic energy recovery systems to be used in conjunction with internal combustion engines and designed such that the system could easily be fitted into future passenger vehicles are examined. In this article, a review of automobile kinetic energy recovery system is presented. It has been argued that the ultracapacitor technology offers a sustainable solution. An optimum design for the urban driving cycle experienced in the city of Edinburgh has been introduced. The potential for fuel savings is also presented

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The proposed research will focus on developing a novel approach to solve Software Service Evolution problems in Computing Clouds. The approach will support dynamic evolution of the software service in clouds via a set of discovered evolution patterns. An initial survey informed us that such an approach does not exist yet and is in urgent need. Evolution Requirement can be classified into evolution features; researchers can describe the whole requirement by using evolution feature typology, the typology will define the relation and dependency between each features. After the evolution feature typology has been constructed, evolution model will be created to make the evolution more specific. Aspect oriented approach can be used for enhance evolution feature-model modularity. Aspect template code generation technique will be used for model transformation in the end. Product Line Engineering contains all the essential components for driving the whole evolution process.

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The heated debate over the conflict between ethics and economics is often described as an epochal issue, an expression of present-day fragility, resulting from the implosion of the development model, which has characterised western society. The debate, however, exposes a paradox. Whilst, on the one hand, the neoclassical economic theory is radically criticized, on the other such criticism does not appear to delineate any solid, practicable alternative. Thus, the mainstream economic theory is still taught, practised by individuals as well as institutions, and further developed by the prevailing academic research. For this reason, a viable alternative needs to be sought, along with a new research methodology, which would allow to apply novel and more coherent theoretical assumptions into effective research and real cases. The theoretical instruments by which to create the models for human behaviour need to take into account the biological foundation of behaviour, expressed in evolutionary genetics terms. The aim of this paper is to establish whether our moral knowledge of economics may claim any scientific objectivity in light of advances in subject areas that differ in their scope and methods: moral philosophy, economics, cognitive neuroscience and artificial intelligence, each of which makes a specific contribution to understanding the operation of the human mind and towards forming the moral values onto which economic choice and action are founded. Given that the object of the study of economic science is the analysis of complex systems, nowadays the most efficient method seems to be artificial life simulation.

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Studying the division means trying to describe a complex phenomenon that accommodation dogmatic created many disagreements in doctrine and jurisprudence, and today, despite the debate on the subject has reached the landing at least reassuring, never fails to impress for a certain vitality. The main purpose of this work is to analyze, with no claim to completeness, the division in modern key, both from a structural point of view that from a functional point of view. Made a brief introduction on the history and evolution of legal profiles of the institute, it will switch you to the analysis of the essential elements that combine to describe the situation, to analyze its effects, and to place it, only if possible, within the categories of law developed by the doctrine and jurisprudence. The second aspect of investigation, however, will focus on the study of the case divisional functionally analyzing in detail what are the various ways in which it is possible to proceed to division, and what are the critical issues relating to each divisional scheme, with particular attention to the division of the estate, which has always been, to its inherent complexity, the paradigm to refer to, and the ground of comparison of various theories proposed, in light of recent legislative changes, albeit marginal, report the current attention to a phenomenon instrumental in the distribution of wealth, perhaps too much overlooked.

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C.H. Orgill, N.W. Hardy, M.H. Lee, and K.A.I. Sharpe. An application of a multiple agent system for flexible assemble tasks. In Knowledge based envirnments for industrial applications including cooperating expert systems in control. IEE London, 1989.