A Neuroadaptive Cognitive Model for Dealing With Uncertainty in Tracing Pilots' Cognitive State

The research on autonomous recognition mechanism for survivability has vigorously been growing up. A method of autonomous cognitive model and quantitative analysis for survivable system was proposed based on cognitive computing technology. Firstly, a cognitive model for survivable system with cross-layer perception ability was established, a self-feedback evolution mode of cognitive unit based on monitor-decide-execute loop structure was improved, and a self-configuration of cognitive unit is realized. Then, combined with the cognitive state transition graph, the analysis of cognitive performance for survivable systems based on dynamic cognitive behavioral changes was constructed. Finally, the cognitive processes of survivable system were described by using formal modeling. Simulation validated the influence degree of test parameters on system survivability from two perspectives of the probability of intrusion detection systems vulnerability and attacks detected. Results show that enhancing the rate of monitoring actions change and the rate of performing actions change obviously improved the cognitive performance of survivable system.

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THE ROLE OF DYSFUNCTIONAL BELIEFS IN INDIVIDUALS WHO EXPERIENCE PSYCHOSIS AND USE SUBSTANCES: IMPLICATIONS FOR COGNITIVE THERAPY AND MEDICATION ADHERENCE

Behavioural and Cognitive Psychotherapy ◽

10.1017/s1352465898000228 ◽

1998 ◽

Vol 26 (3) ◽

pp. 193-208 ◽

Cited By ~ 12

Author(s):

Hermine L. Graham

Keyword(s):

Substance Use ◽

Medication Adherence ◽

Subjective Experience ◽

Cognitive Model ◽

Developmental Model ◽

Cognitive State ◽

Case Formulation ◽

Treatment Services ◽

Adherence To Medication ◽

Starting Point

It can be argued that an individual’s subjective experience and beliefs about a substance are important. Motives and expectancies regarding the use of alcohol and drugs are often that they are going to modify a cognitive state or help them cope with a particular situation. However, there are growing concerns in the U.S.A. and in the U.K. regarding individuals who experience psychosis and concurrently use substances. Correctly diagnosing individuals with dual presentation is said to be difficult, engagement in treatment is problematic, and medication adherence and prognosis poor. In this paper a cognitive-developmental model is proposed. I suggest that for individuals who experience psychosis and also use drugs or alcohol, the ability to identify the relationship between the substance use and the psychotic illness in terms of a case formulation/conceptualization would provide a good starting point for developing strategies and interventions that are most likely to succeed in treatment. Such an approach would explicitly address key cognitions. Unless the dysfunctional substance-related beliefs are addressed, adherence to medication and engagement with treatment services will be hindered and the possibility of relapsing to problematic substance use and acute psychosis remains. A cognitive treatment component, to target these beliefs, based on the cognitive model of substance misuse and the motivational interviewing approach will also be briefly outlined.

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The Use of Executable Cognitive Models in Simulation-Based Intelligent Embedded Training

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/107118139704100287 ◽

1997 ◽

Vol 41 (2) ◽

pp. 1118-1122 ◽

Cited By ~ 5

Author(s):

Wayne Zachary ◽

Joan Ryder ◽

James Hicinbothom ◽

Kevin Bracken

Keyword(s):

Cognitive Model ◽

Performance Standards ◽

Cognitive State ◽

Guided Practice ◽

Training Strategy ◽

Training Systems ◽

Simulation Based ◽

Knowledge Tracing ◽

And Performance ◽

Expert Models

This paper defines a new role for expert models in intelligent embedded training — guiding practice. The integration of problem-based practice with focused, automated instruction has long proven elusive in training systems for complex real-world domains. The training strategy of ‘guided practice’ offers a way to merge the approaches of traditional simulation-based practice and intelligent tutoring's knowledge tracing. The performance of the trainee is dynamically assessed against scenario-specific expectations and performance standards, which are generated during the simulation by embedded models of expert operators. This research developed an executable cognitive model capable of solving realistic simulation scenarios in an expert-level manner, identified and implemented modifications and extensions to this baseline model needed to generate dynamic and adaptive expectations of future trainee actions, and developed means of providing cognitive state information for use in (separate) diagnostic processes, without resorting to full-scale knowledge tracing methods.

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Validity and Reliability of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE)

GeroPsych ◽

10.1024/1662-9647/a000209 ◽

2019 ◽

Vol 32 (3) ◽

pp. 145-151

Author(s):

Mahshid Foroughan ◽

Zahra Jafari ◽

Ida Ghaemmagham Farahani ◽

Vahid Rashedi

Keyword(s):

Psychometric Properties ◽

Elderly Population ◽

Formal Education ◽

The Elderly ◽

Cognitive State ◽

Validity And Reliability ◽

Internal Reliability ◽

Dsm Iv ◽

Test Retest Reliability ◽

Farsi Version

Abstract. This study examines the psychometric properties of the IQCODE and its applicability in the Iranian elderly population. A group of 95 elderly patients with at least 4 years of formal education who fulfilled the criteria of DSM-IV-TR for dementia were examined by the MMSE and the AMTs. The Farsi version of the IQCODE was subsequently administered to their primary caregivers. Results showed a significant correlation ( p = .01) between the score of the questionnaire and the results of the MMSE ( r = −0.647) and AMTs ( r = −0.641). A high internal reliability of the questionnaire was confirmed by Cronbach’s alpha coefficient (α = 0.927) and test-retest reliability by correlation coefficient ( r = 0.81). This study found that the IQCODE has acceptable psychometric properties and can be used for evaluating the cognitive state in the elderly population of Iran.

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