Evidence in Support of Analogical Reasoning Improvements with Executive Attention Intervention in Healthy Young Adults

Analogical reasoning improvement is important in educational outcome improvement.Inspired by recent ideas and evidence,we applied anti-saccade task training as an executive attention intervention and tested whether it could improve analogical reasoning performance.A serial-task paradigm was applied where participants performed an anti-saccade followed by an analogical reasoning task including a perception condition.The experimental group finished the anti-saccade task in which the ratio of anti-saccade trials to pro-saccade trials was 5:1 while the counterpart was 1:1 in the active control group.Also,a blank control group was established where participants merely finished the analogical reasoning task.Event-related electroencephalographic(EEG)data were recorded when participants were performing the executive attention and analogical reasoning tasks.In addition,their resting state EEG was collected before and after the executive attention intervention.Behaviorally,the experimental group reacted significantly faster than the other two groups in analogical reasoning but not in perception.At the neural level,in the experimental group alone,the anti-saccade trials elicited a smaller N2 than pro-saccade trials and the resting alpha power was improved after executive attention intervention.No significant difference in P2 was found between the two groups in analogical reasoning or perception but the experimental group showed a larger late positive component than the active control group in analogical reasoning.We also found that the late positive component mediated the relationship between the N2 of anti-saccade trials and analogical reasoning reaction times in the experimental group.We further discussed the role of executive attention in the analogical reasoning process,which may pave the way for the future reliable improvement of fluid intelligence.

Immune Recognition Method Based on Analogy Reasoning in Intrusion Detection System

In this paper, we propose an analogy based immune recognition method that focuses on the implement of the clone selection process and the negative selection process by means of analogy similarity. This method is applied in an IDS （Intrusion Detection System） following several steps. Firstly, the initial abnormal behaviours sample set is optimized through the combining of the AIS （Artificial Immune System） and the genetic algorithm. Then, the abnormity probability algorithm is raised considering the two sides of abnormality and normality. Finally, an intrusion detection system model is established based on the above algorithms and models.

How do medical students understand disease behaviors?Evidence from event-related potentials

Objective: To investigate how medical students process Western medicine(WM) terms vs. traditional Chinese medicine(TCM) terms and how this is impacted by analogical priming from the perspective of cognitive neuroscience.Methods: The experiments were designed as a 2(TCM terms vs. WM terms) × 2(correct terms vs.incorrect terms) × 2(analogical priming task vs. non-priming task) scheme. A total of 26 medical students completed a non-priming judgment task and an analogical priming judgment task on medical terms. During the tasks, the participants were asked to make correct/incorrect judgments on WM terms and TCM terms, and their behavioral data and event-related potentials(ERPs) were recorded.Results: Behaviorally, the response speed and accuracy of WM terms were higher than those of TCM terms(both P <.001), indicating a prominent concreteness effect. Analogical priming shortened the response time to medical terms(P <.001), and the response time to TCM terms was shortened more significantly(P =.001). For ERPs, WM terms induced a larger P200(an early positive ERP component), a smaller N400(a negative ERP component), and a higher late positive ERP component, indicating superiority of attention adjustment, smaller-scale semantic activation, and a higher cost of late semantic analysis and integration. However, the analogical priming eliminated the difference between WM and TCM terms in P200 and N400 while maintaining it in the LPC. This suggests that WM terms are sensitive to analogical attention adjustment, and TCM terms are susceptible to analogical semantic integration.Conclusion: Our findings suggest that WM and TCM disease behavior terms may initially differ in concreteness or the use of a verbal-linguistic system. Analogy is more conducive to understanding TCM terms. This research provides important neuroscientific evidence of the difference in thinking between TCM and WM.

A platform of digital brain using crowd power

A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design of the platform aims to make it a comprehensive brain database,a brain phantom generator,a brain knowledge base,and an intelligent assistant for research on neurological and psychiatric diseases and brain development.Using big data,crowd wisdom,and high performance computers may significantly enhance the capability of the platform.Preliminary achievements along this track are reported.