Conceptions of Cognition for Cognitive Engineering

Cognitive Control Architecture for the Practical Realization of UAV Collision Avoidance

A highly intelligent system often draws lessons from the unique abilities of humans. Current humanlike models, however, mainly focus on biological behavior, and the brain functions of humans are often overlooked. By drawing inspiration from brain science, this article shows how aspects of brain processing such as sensing, preprocessing, cognition, obstacle learning, behavior, strategy learning, pre-action, and action can be melded together in a coherent manner with cognitive control architecture. This work is based on the notion that the anti-collision response is activated in sequence, which starts from obstacle sensing to action. In the process of collision avoidance, cognition and learning modules continuously control the UAV's repertoire. Furthermore, simulated and experimental results show that the proposed architecture is effective and feasible.

Design, synthesis and biological evaluation of triazole-oxadiazole conjugates for the management of cognitive dysfunction

Acetylcholinesterase has been a promising target for the development of putative therapeutics against cognitive decline. The deleterious effect of oxidative stress on the learning and memory paradigms of an individual has also been well documented. In view of this, the present study demonstrates the design, synthesis and pharmacological evaluation of triazole-oxadiazole conjugates. Eighteen novel hybrids (6-23) have been synthesised by employing suitable synthetic procedures and characterized by various spectral and elemental techniques. Further these synthesised compounds were evaluated against behavioural alterations using step down passive avoidance and escape learning protocol at a dose of 0.5 mg/kg with reference to the standard, donepezil. All the synthesised compounds were evaluated for their in vitro acetylcholinesterase (AChE) inhibition at five different concentrations using mice brain homogenate as the source of the enzyme. Biochemical estimation of markers of oxidative stress (lipid peroxidation, superoxide dismutase, glutathione and catalase) has also been carried out to assess the role of synthesised molecules on the oxidative damage induced by scopolamine. The compounds 13, 17 and 23 displayed appreciable activity towards acetylcholinesterase inhibition. These compounds also decreased scopolamine induced oxidative stress, thus serving as promising leads for the amelioration of oxidative stress induced cognitive decline. The molecular docking study performed to predict the binding mode of the compounds also suggested that these compounds bind appreciably to the amino acids present in the active site of the recombinant human acetylcholinesterase (rhAChE). The results indicated that these compounds could be further traversed as inhibitors of AChE and oxidative stress for the treatment of cognitive dysfunction.

Reinforcement Emotion-Cognition System: A Teaching Words Task

The goal of this paper is to suggest a system for intelligent learning environments with robots modeling of emotion regulation and cognition based on quantitative motivation. A detailed interactive situation for teaching words is proposed. In this study, we introduce one bottom-up collaboration method for emotion-cognition interplay and behaviour decision-making. Integration with gross emotion regulation theory lets the proposed system adapt to natural interactions between students and the robot in emotional interaction. Four key ideas are advocated, and they jointly set up a reinforcement emotion-cognition system (RECS). First, the quantitative motivation is grounded on external interactive sensory detection, which is affected by memory and preference. Second, the emotion generation triggered by an initial motivation such as external stimulus is also influenced by the state in the previous time. Third, the competitive and cooperative relationship between emotion and motivation intervenes to make the decision of emotional expression and teaching actions. Finally, cognitive reappraisal, the emotion regulation strategy, is introduced for the establishment of emotion transition combined with personalized cognition. We display that this RECS increases the robot emotional interactive performance and makes corresponding teaching decision through behavioural and statistical analysis.

Socioeconomic status is a predictor of neurocognitive performance of early female adolescents

OBJECTIVE

Previous studies have shown that high socioeconomic status (SES) is significantly associated with inhibitory control, working memory, verbal comprehension and IQ. However, in the Asian setting, with its prevailing poverty, information about the influence of SES on cognitive development of female adolescents is limited. This study was aimed to investigate the association between SES and neurocognitive performance of early female adolescents in Sri Lanka.

METHODS

Female adolescents aged 11-14 years (n = 200) of low and middle SES were studied to assess neurocognitive function. After obtaining baseline data, eight subtests of the Wechsler Intelligence Scale for Children (WISC - IV), Test Of Nonverbal Intelligence (TONI-3) and two computer-based executive function tests (inhibition and visuo-spatial working memory) were administered to assess neurocognitive measures of the above adolescents. The results were compiled into a data base and analyzed using SPSS version 20 statistical software.

RESULTS

Higher SES was associated with higher performance in all neurocognitive tests. Low SES adolescents obtained significantly poor test scores for executive function test (inhibitory control: p < 0.0001) and for WISC [verbal comprehension index (VCI): p < 0.0001), working memory index (WMI): p < 0.0001 and estimated full scale IQ (EFSIQ): p < 0.0001)] when compared with middle SES adolescents. Maternal education alone significantly predicts VCI and EFSIQ than the combined influence of parental education, occupation and income. Psychosocial adversities of adolescents were inversely correlated with VCI (r = -0.30; p < 0.001) and EFSIQ (r = -0.20; p < 0.001) of WISC and mathematics performance (r = -0.34; p < 0.001) at examination in school.

CONCLUSION

Findings of the study revealed the importance of upliftment of SES of the society to improve the cognitive and academic outcomes of low SES individuals.

A Design Model for Cognitive Engineering

The author confronts some of the practical consequences of a technogenic account of cognitive agency. In the first section the author examines the commitment to a narrow locus of control shared by most extended theories of cognition, motivating a normative approach to cognitive design. The author then examines the recent appeal some normative theorists have made to responsibilist theories of knowledge to preserve their commitment. This gives the author an opportunity to explore factitious intellectual virtue as a way to defend these sorts of appeals. In the final section the author argues that factitious virtue has several benefits as a normative design model for the practice of cognitive engineering.

Function allocation in complex systems: reframing an old problem

In this article, we offer a new, macroergonomics perspective on the long-debated issue of function allocation. We believe thinking in this domain needs to be realigned, moving away from the traditional microergonomics conceptualisation, concerned predominantly with task-based decisions, and towards a macroergonomics approach, viewing function allocation choices as central to effective systems design. We frame our arguments within a systems perspective, advocating that function allocation issues need to be on the agenda of all individuals with a wider interest in the human and organisational aspects of complex work systems, including people who commission, sponsor, design, implement and use such systems. We also argue that allocation decisions should form a transparent, explicit stage early in the systems design and development process, involve multiple stakeholders (including end-users), be evidence-based, framed within the language of risk and utilise iterative methods (e.g. scenarios planning techniques).

PRACTITIONER SUMMARY

This article presents a macroergonomics approach to function allocation, advocating its importance in effective systems design. Adopting a systems mindset, we argue function allocation should form an explicit stage early in the design process, involve multiple stakeholders, be evidence-based, framed within the language of risk and utilise iterative methods.