Computing with connections in visual recognition of origami objects

This paper summarizes our initial foray in tackling Artificial Intelligence problems using a connectionist approach. The particular task chosen was the visual recognition of objects in the Origami world as defined by. The two major questions answered were how to construct a connectionist network to represent and recognize projected line drawings of Origami objects and what advantages such an approach would have. The structure of the resulting connectionist network can be described as a hierarchy of parameter or feature spaces with each node in each of the feature spaces representing a hypothesis about the possible existence of a specific geometric feature of an Origami object. The dynamic behavior of the network is a form of iterative refinement or relaxation whose major characteristic is to prefer more globally interesting interpretations of the input over locally pleasing ones. Examples from the implementation illustrate the system's ability to deal with forms of noise, occlusion and missing information. Other benefits are an inherently parallel approach to vision, limitation of explicit ordering of the search involved in matching model to instance and the elimination of backtracking due to the sharing of partial results as the search progresses. Extensions and problems are also discussed.     

A scoping review on the extent and nature of anxiety-related research within the research domain criteria (RDoC) framework: Limited coverage using non-disorder-specific search terms

The need for research on modifiable risk factors in anxiety has been highlighted in previous reviews synthesizing literature on the etiology and maintenance of anxiety. The Research Domain Criteria (RDoC) provides a useful framework to lead this body of work. A scoping review was conducted to examine the extent and nature of research evidence on each RDoC domain as they have been investigated in anxiety via relevant correlates, with the end goal of informing future research priorities. The coverage of this review was limited to search terms bound within non-disorder-specific anxious pathology. The adopted selection criteria resulted in 170 cases (across 94 studies) where RDoC-relevant correlates of anxiety were studied. Results highlight disparate research focus across domains (limited research on processes within the Positive Valence Systems, Systems for Social Processes, and Arousal/Regulatory Systems), inconsistent findings within domains (Cognitive Systems), and a lack of research on cross-domain interactions.     

BOOK REVIEW

No abstract available for this article.     

Experimental psychopathology, clinical science, and practice: An irrelevant or indispensable alliance?

Psychopathology research is the scientific foundation for legitimate and credible forms of clinical practice and the ethical delivery of mental health services. Experimental psychopathology is a subfield of psychopathology research; its aims are to elucidate variables and processes that contribute, either in whole or in part, to the etiology, exacerbation, or maintenance of abnormal behavior. To date, experimental psychopathology has been poorly understood with regard to its identity, aims, history, and relevance for clinical practice. In this article, we critically review and address the role of experimental psychopathology in the contemporary field of clinical science and practice. Overall, we suggest that experimental psychopathology can maintain its important contributions to the field, and perhaps more important, adapt to the current health care context to have an even larger impact on directing conceptual and empirical analyses of core psychopathology processes.     

Government accounting optimization based on computational linguistics

The level of moral development and moral intensity in cognitive psychology will not only affect the ethical behavior of accountants, but also have a direct impact on the quality and level of accounting work. Therefore, in this paper, the ethical behavior of accountants was analyzed from the perspective of cognitive psychology. Computer-aided data mining techniques were introduced, and government accounting risk assessment management of financial accountants was studied. In this paper, the principle of cognitive psychology to measure the ethical level of accountants was first described. The predicament of moral judgments was analyzed and an optimization plan to improve the ethical intention of accountants was proposed. Support Vector Machine classification technology in data mining was studied to explore how to conduct effective and reliable evaluation, so as to provide a scientific basis for decision-making in improving accounting management. After the simulation experiment, it is proved that continuously improving the ethical standards of accountants and strengthening the forecast of accounting risks can continue to optimize the accounting office management.     

Characteristics and rules of college English education based on cognitive process simulation

Metacognition is a process of self-cognition and self-thinking based on self-reflection, control, evaluation and regulation to achieve continuous cognition of individuals. Metacognition plays a very important role in coordination and guidance in college English education. Therefore, in this paper, the characteristics and rules of college English education were studied based on the cognitive process simulation. First of all, the basic theory of metacognition and the advantages and methods applied to English teaching were expounded. Then, a mathematical model was set up for college oral English teaching, and how to improve oral pronunciation for oral learners by quantitative and effective evaluation was discussed. After that, targeted information evaluation results were provided, and the algorithm was optimized and improved. Finally, by using computer aided technology and metacognitive method, the effect of oral English teaching was simulated and tested. The results show that the results of this study provide a useful exploration for improving the effectiveness of college English education and have good application value.     

The minimal self hypothesis

For millennia self has been conjectured to be necessary for consciousness. But scant empirical evidence has been adduced to support this hypothesis. Inconsistent explications of “self” and failure to design apt experiments have impeded progress. Advocates of phenomenological psychiatry, however, have helped explicate “self,” and employed it to explain some psychopathological symptoms. In those studies, “self” is understood in a minimalist sense, sheer “for-me-ness.” Unfortunately, explication of the “minimal self” (MS) has relied on conceptual analysis, and applications to psychopathology have been hermeneutic, allowing for many degrees of interpretive latitude. The result is that MS’s current scientific status is analogous to that of the “atom,” at the time when “atom” was just beginning to undergo transformation from a philosophical to a scientific concept. Fortunately, there is now an opportunity to promote a similar transformation for “MS.” Discovery of the brain’s Default Mode Network (DMN) opened the door to neuroimaging investigations of self. Taking the DMN and other forms of intrinsic activity as a starting point, an empirical foothold can be established, one that spurs experimental research and that enables extension of research into multiple phenomena. New experimental protocols that posit “MS” can help explain phenomena hitherto not thought to be related to self, thereby hastening development of a mature science of self. In particular, targeting phenomena wherein consciousness is lost and recovered, as in some cases of Unresponsive Wakefulness Syndrome (UWS), allow for design of neuroimaging probes that enable detection of MS during non-conscious states. These probes, as well as other experimental protocols applied to NREM Sleep, General Anesthesia (GA), and the waking state, provide some evidence to suggest that not only can self and consciousness dissociate, MS might be a necessary precondition for conscious experience. Finally, these findings have implications for the science of consciousness: it has been suggested that “levels of consciousness” (LoC) is not a legitimate concept for the science of consciousness. But because we have the conceptual and methodological tools with which to refine investigations of MS, we have the means to identify a possible foundation—a bifurcation point—for consciousness, as well as the means by which to measure degrees of distance from that foundation. These neuroimaging investigations of MS position us to better assess whether LoC has a role to play in a mature science of consciousness.