Extractive document summarization using an adaptive,knowledge based cognitive model

Document summarization involves identifying the salient text in a document and creating a representative summary. The event-index cognitive model describes the human cognitive processes involved in generating situational models from a given text to comprehend that text. This paper proposes an adaptive, knowledge based event-index cognitive model that creates an extractive summary for a given document. The proposed cognitive model uses the hierarchical human memory model and emotion to create the extractive summary. The performance of the proposed cognitive model was compared with the existing state-of-art methods using the DUC (Document Understanding Conference) 2001 dataset and the ROUGE (Recall-Oriented Understudy for Gisting Evaluation) summary evaluation tool. Under ROUGE-N, ROUGE-L, ROUGE-S and ROUGE-SU evaluations, the proposed cognitive model for document summarization achieved an improvement of 25%, 12%, 24% and 18% in mean F-measure values. The results are statistically verified as significantly better than existing state-of-art methods using one way ANOVA with post-hoc Tukey-HSD test. In addition, this paper discusses the possible future research directions in document summarization based on the proposed cognitive model.     

Effects of traumatic stress and perceived stress on everyday cognitive functioning

Stressful or traumatic events have been shown to impair cognitive functioning on laboratory-based tasks due to stress-related intrusive thoughts and avoidance. However, research on the effects of stress on everyday cognitive functioning has been lacking. A sample of 909 undergraduates completed measures of perceived stress, PTSD symptoms, and everyday cognitive failures. The results revealed that both perceived stress and PTSD symptoms uniquely predicted cognitive failures, even after controlling for a number of potentially confounding variables. Additionally, there was a significant interaction. Participants with low scores on both measures of stress reported the fewest occurrences of everyday cognitive failures. In contrast, participants with elevated scores on either measure of stress reported higher levels of cognitive failures. These results suggest that there are unique negative effects of perceived stress and PTSD symptoms on everyday cognitive functioning and sharpen our understanding of the relationship between stress and cognition.     

The discrepant effect of acute stress on cognitive inhibition and response inhibition

This study aimed to investigate how acute stress impinges on individual’s cognitive inhibition and response inhibition abilities. Electroencephalography was adopted when 35 healthy adult females performing the No Go Flanker task before and after the Trier Social Stress Test. Both inhibition processes evoked N2 and P3 components, but only the response inhibition evoked the late positive potential (LPP), indicating the response inhibition needed continuous cognitive effort to inhibit the prepotent response. The N2 and the P3 amplitudes were decreased, while the LPP amplitudes were increased under acute stress. These results suggested that acute stress caused the detrimental effect by occupying cognitive resources. Contrastingly, individuals actively regulated and made more efforts to counteract the detrimental effect of acute stress on response inhibition. Thus, acute stress impaired cognitive inhibition but did not affect response inhibition.     

The linkages of cognitive processes, stress propensity, affect, and strain: experimental test of a cognitive model of the stress response

This research examined a model of the stress response that includes cognitive-affective stress propensity, cognitive-affective processes, experienced affective reactions, subjective stress, and strain constructs. Using partial least squares analysis, this model was found to provide a good fit with the data. Moderated multiple regression analyses found support for the hypothesized moderating effects of individual stress propensity on the relationships of stressors with cognitive-affective processes. The research and practical implications of these findings are discussed.     

A neural cognitive model of argumentation with application to legal inference and decision making

Formal models of argumentation have been investigated in several areas, from multi-agent systems and artificial intelligence (AI) to decision making, philosophy and law. In artificial intelligence, logic-based models have been the standard for the representation of argumentative reasoning. More recently, the standard logic-based models have been shown equivalent to standard connectionist models. This has created a new line of research where (i) neural networks can be used as a parallel computational model for argumentation and (ii) neural networks can be used to combine argumentation, quantitative reasoning and statistical learning. At the same time, non-standard logic models of argumentation started to emerge. In this paper, we propose a connectionist cognitive model of argumentation that accounts for both standard and non-standard forms of argumentation. The model is shown to be an adequate framework for dealing with standard and non-standard argumentation, including joint-attacks, argument support, ordered attacks, disjunctive attacks, meta-level attacks, self-defeating attacks, argument accrual and uncertainty. We show that the neural cognitive approach offers an adequate way of modelling all of these different aspects of argumentation. We have applied the framework to the modelling of a public prosecution charging decision as part of a real legal decision making case study containing many of the above aspects of argumentation. The results show that the model can be a useful tool in the analysis of legal decision making, including the analysis of what-if questions and the analysis of alternative conclusions. The approach opens up two new perspectives in the short-term: the use of neural networks for computing prevailing arguments efficiently through the propagation in parallel of neuronal activations, and the use of the same networks to evolve the structure of the argumentation network through learning (e.g. to learn the strength of arguments from data).     

An adaptive network model covering metacognition to control adaptation for multiple mental models

Learning processes can be described by adaptive mental (or neural) network models. If metacognition is used to regulate learning, the adaptation of the mental network becomes itself adaptive as well: second-order adaptation. In this paper, a second-order adaptive mental network model is introduced for metacognitive regulation of learning processes. The focus is on the role of multiple internal mental models, in particular, the case of visualisation to support learning of numerical or symbolic skills. The second-order adaptive network model is illustrated by a case scenario for the role of visualisation to support learning multiplication at the primary school.     

Posttraumatic stress disorder in the emergency room: exploration of a cognitive model

Ehlers and Clark (Behav. Res. Ther., 38 (2000) 319) recently proposed a cognitive model of posttraumatic stress disorder (PTSD). In this study, we examined two facets of this model, appraisal and peritraumatic dissociation, in the context of a hospital emergency room. Fifty-one emergency room personnel completed questionnaires measuring posttraumatic stress symptoms, interpretations of traumatic events experienced while working in the emergency room and subsequent intrusive recollections, and peritraumatic dissociation. Twelve percent of participants met formal diagnostic criteria for PTSD, and 20% met PTSD symptom criteria. As predicted, both negative appraisals of the trauma and of intrusive recollections were associated with increased PTSD severity. Although peritraumatic dissociation did not correlate with overall PTSD symptom severity, it was associated with the reexperiencing symptom cluster. Discussion focuses on the factors associated with PTSD in emergency room professionals and implications for intervention.     

An adaptive network model for pain and pleasure through spicy food and its desensitization

This paper aims to map out the adaptive causal pathways of processes underlying capsaicin consumption and the desensitization process of the TRPV1 receptor as a feedback loop together with pain and pleasure perception. In order to map out these causal capsaicin pathways, adaptive causal network modeling was applied, which is a way of modeling biological, neural, mental and social processes from an adaptive causal modeling perspective.     

Analysis of higher education and management model based on cognitive anthropology

In this paper, the application of computer technology in higher education and management mode based on cognitive anthropology was studied and a teaching recommendation method was constructed. Firstly, on the basis of the existing teaching recommendation research results, teaching recommendation was carried out by adopting the methods of linear weighting and cascade combination and combining with human social factors, geographical factors and time factors, and the validity of the results was improved. Then, the expansion was carried out in the Apache cluster environment, and the efficiency and scalability of teaching recommendation were improved, so that an innovative mode of higher education research and management was created. Experiments show that the implementation efficiency of comprehensive teaching recommendation method achieved in an Apache cluster environment is high. As the amount of data increases, the efficiency advantages become more pronounced.     

A computational model of fractionated conflict-control mechanisms in task-switching

A feature of human cognition is the ability to monitor and adjust one's own behavior under changing circumstances. A dynamic balance between controlled and rapid responding is needed to adapt to a fluctuating environment. We suggest that cognitive control may include, among other things, two distinct processes. Incongruent stimuli may drive top-down facilitation of task-relevant responses to bias performance toward exploitation vs. exploration. Task or response switches may generally slow responses to bias toward accuracy vs. speed and exploration vs. exploitation. Behavioral results from a task switching study demonstrate these two distinct processes as revealed by higher-order sequential effects. A computational model implements the two conflict-control mechanisms, which allow it to capture many complex and novel sequential effects. Lesion studies with the model demonstrate that the model is unable to capture these effects without the conflict-control loops and show how each monitoring component modulates cognitive control. The results suggest numerous testable predictions regarding the neural substrates of cognitive control.     

Psychological model of the successor of the family business based on cognitive process simulation

Nowadays, the economy of our society is in a period of transition, and there are many family businesses that also face the problem of successors' handover; moreover, whether the succession process is carried out smoothly will affect the success of the future development of the family business. In the real society, the wrong selection of the next successor in the family business and the failure of the successor in receiving enough preparations all can lead to the final collapse of the family business, which is common. This is no reason for people to think seriously about the successors. In this paper, based on the related theory of cognitive science, the psychological model of the successor of the family business and its influence on the internationalization of family business were studied and analyzed.     

Evidence for a cognitive control network for goal-directed attention in simple sustained attention

The deterioration of performance over time is characteristic for sustained attention tasks. This so-called “performance decrement” is measured by the increase of reaction time (RT) over time. Some behavioural and neurobiological mechanisms of this phenomenon are not yet fully understood. Behaviourally, we examined the increase of RT over time and the inter-individual differences of this performance decrement. On the neurophysiological level, we investigated the task-relevant brain areas where neural activity was modulated by RT and searched for brain areas involved in good performance (i.e. participants with no or moderate performance decrement) as compared to poor performance (i.e. participants with a steep performance decrement). For this purpose, 20 healthy, young subjects performed a carefully designed task for simple sustained attention, namely a low-demanding version of the Rapid Visual Information Processing task. We employed a rapid event-related functional magnetic resonance imaging (fMRI) design. The behavioural results showed a significant increase of RT over time in the whole group, and also revealed that some participants were not as prone to the performance decrement as others. The latter was statistically significant comparing good versus poor performers. Moreover, high BOLD-responses were linked to longer RTs in a task-relevant bilateral fronto-cingulate-insular-parietal network. Among these regions, good performance was associated with significantly higher RT-BOLD correlations in the pre-supplementary motor area (pre-SMA). We concluded that the task-relevant bilateral fronto-cingulate-insular-parietal network was a cognitive control network responsible for goal-directed attention. The pre-SMA in particular might be associated with the performance decrement insofar that good performers could sustain activity in this brain region in order to monitor performance declines and adjust behavioural output.     

When learning is not enough: A process model of expatriate adjustment as cultural cognitive dissonance reduction

Although considerable organizational research exists on the topic of expatriate adjustment and early departure, little has focused on the actual psychological processes causing change in adjustment outcomes. Specifically, researchers have not focused on cognitive dissonance that arises from adopting or condoning culturally expected behaviors that are inconsistent with the expatriate’s own values or attitudes. We propose that dissonance experiences and the methods used for dissonance reduction influence expatriates’ adjustment outcomes and, in turn, their tendency for early departure. We further specify key situational and individual difference constructs that regulate these causal relationships. Along with a greater understanding of cross-cultural adjustment, the current model suggests new directions for expatriate research and management.     

A proposal for an auditory sensation cognitive architecture and its integration with the motor-system cognitive function

The auditory system is capable of producing a wide range of information through the acquisition and perception of the vibrations present in the environment, even when the receptor is not directly facing the stimulus’s source. Said information can be crucial for survival and useful for a variety of systems like the visual system and the motor system. Despite that, the quantity of studies involving the auditory system or its interactions with other systems is limited, even though anatomical evidence recognizes this relationships’ existence. In this work, we study its interaction with the motor system. A bio-inspired model that explores the relationship between the auditory and motor systems, grounded on neuroscientific research, is presented to address this proposal. To validate our proposal, a case study in which we endow a virtual entity with our proposed model. Then, we ask both a group of persons and the virtual creature to compute and face towards the direction were the sound was originated.     

An organizing model for recent cognitive science work on the self

An organizing model of ‘the self’ emerges from applying various kinds of brain injury to recent cognitive science and philosophical work on ‘the self’. This model unifies various contents and mechanisms central to current notions of the self. The article then highlights several criteria and aspects of this notion of self. Qualities of the right type and level of psychological significance delineate ‘the self’ as an organizing concept useful for recent philosophical work and cognitive science research.     

Preschoolers’ use of feedback for flexible behavior: Insights from a computational model

This study addressed preschoolers’ cognitive flexibility in an inductive task requiring response feedback processing to infer relevant task goals. A total of 63 4- to 6-year-olds were tested on a perceptual matching task in which they needed to switch attention among three colors. A computational model was designed to track down how responses to positive and negative feedback changed as children progressed through the task. The results showed that children’s differential response to positive and negative feedback developed with age. In addition, age differences in feedback responding increased as the task unfolded. These findings are interpreted as reflecting an increase in flexibility with age in terms of growing efficiency in feedback processing.     

The influence of between and within-person hope among emergency responders on daily affect in a stress and coping model

This study reports on daily hope, coping, stress, and affect among 84 fire service members who completed a 21-day diary. Multilevel modeling showed that between-person hope was related to higher positive affect. Three-way interactions were found for within-person hope, stress, and daily coping in the prediction of daily affect. When under high stress and if low in hope, more emotion–expression coping predicted higher next day positive affect whereas if high in hope, more problem-focused coping predicted more positive affect. Within-person hope, stress, and emotion–expression coping interacted to predict negative affect. Findings for the prediction of negative affect necessitate further research to determine if the nature of coping under low hope and low stress is qualitatively distinct from high hope states.     

With a little help from my friends: A computational model for the role of social support in mood regulation

The growing interest in the role of social support in mental and physical health has led to the development of several intelligent systems that aim to use social mechanisms to simulate healthy behaviour. In this paper a computational model of a human agent is presented which describes the effect of social support on mood. According to the literature, social support can either refer to the social resources that individuals perceive to be available or to the support that is actually provided in problematic situations. The proposed model distinguishes between both roles of social support. The role of social network characteristics has been taken into account, as an individual can perceive or receive social support through his/her social network. In addition, the number of connections (friends), strength of ties (relationships), social isolation and social integration have been studied. Simulation experiments have been done to analyze the effect of the different types of support in different scenarios and also to analyze the role of various social network characteristics on the mood level. It is shown that support can help to reduce the induced stress and thus can contribute to healthy mood regulation and prevention of depression. The presented model provides a basis for an intelligent support system for people with mood regulation problems that take the social network of people into account.     

A sequential cognitive diagnosis model for polytomous responses

This paper proposes a general polytomous cognitive diagnosis model for a special type of graded responses, where item categories are attained in a sequential manner, and associated with some attributes explicitly. To relate categories to attributes, a category‐level Q‐matrix is used. When the attribute and category association is specified a priori, the proposed model has the flexibility to allow different cognitive processes (e.g., conjunctive, disjunctive) to be modelled at different categories within a single item. This model can be extended for items where categories cannot be explicitly linked to attributes, and for items with unordered categories. The feasibility of the proposed model is examined using simulated data. The proposed model is illustrated using the data from the Trends in International Mathematics and Science Study 2007 assessment.     

Memory for goals: an activation‐based model

Goal‐directed cognition is often discussed in terms of specialized memory structures like the “goal stack.” The goal‐activation model presented here analyzes goal‐directed cognition in terms of the general memory constructs of activation and associative priming. The model embodies three predictive constraints: (1) the interference level, which arises from residual memory for old goals; (1) the strengthening constraint, which makes predictions about time to encode a new goal; and (3) the priming constraint, which makes predictions about the role of cues in retrieving pending goals. These constraints are formulated algebraically and tested through simulation of latency and error data from the Tower of Hanoi, a means‐ends puzzle that depends heavily on suspension and resumption of goals. Implications of the model for understanding intention superiority, postcompletion error, and effects of task interruption are discussed.