Cognitive process modelling of controllers in en route air traffic control

In recent years, various efforts have been made in air traffic control (ATC) to maintain traffic safety and efficiency in the face of increasing air traffic demands. ATC is a complex process that depends to a large degree on human capabilities, and so understanding how controllers carry out their tasks is an important issue in the design and development of ATC systems. In particular, the human factor is considered to be a serious problem in ATC safety and has been identified as a causal factor in both major and minor incidents. There is, therefore, a need to analyse the mechanisms by which errors occur due to complex factors and to develop systems that can deal with these errors. From the cognitive process perspective, it is essential that system developers have an understanding of the more complex working processes that involve the cooperative work of multiple controllers. Distributed cognition is a methodological framework for analysing cognitive processes that span multiple actors mediated by technology. In this research, we attempt to analyse and model interactions that take place in en route ATC systems based on distributed cognition. We examine the functional problems in an ATC system from a human factors perspective, and conclude by identifying certain measures by which to address these problems. This research focuses on the analysis of air traffic controllers' tasks for en route ATC and modelling controllers' cognitive processes.

Dopamine signaling is essential in cognitive process and motor performance

La dopamina es uno de los principales neurotransmisores del sistema nervioso central y desempeña un papel esencial en diferentes funciones: neuroendocrinas, motivacionales/emocionales y, especialmente, motoras y cognitivas. Las funciones de la dopamina están media-das en gran medida por la estimulación de sus principales receptores D1 (D1R) y D2 (D2R). En esta tesis hemos estudiado el papel que ambos receptores desempeñan en los procesos de apren-dizaje y memoria, así como la regulación que ejercen sobre las neuronas estriatales TH-immunoreactivas (TH-ir) y su posible implicación en la respuesta motora. Para abordar este proyecto hemos utilizado ratones knock-out para el receptor D1 (Drd1a-/-) y D2 (Drd2-/-) ya que no existen compuestos farmacológicos capaces de diferenciar eficazmente entre receptores dopaminérgicos de la misma familia. Además, para el estudio de las neuronas TH-ir realizamos lesiones con 6-OHDA a ratones que posteriormente recibieron un tratamiento crónico con L-DOPA, siendo este el mecanismo más eficaz para inducir la expresión de las neuronas TH-ir objeto de nuestro estudio. Para completar todo ello realizamos test conductuales que evalúan respuesta motora, como el test del cilindro, y diferentes tipos de aprendizaje y me-moria para los cuales utilizamos test específicos. Entre estos test se encuentran: los laberintos de Barnes y Morris para memoria espacial, evitación activa/pasiva y condicionamiento del mie-do para el aprendizaje asociativo, y el reconocimiento de objetos para la memoria de reconoci-miento...

A cyber security architecture for military networks using a cognitive network approach

Cyber security is one of the main topics that are discussed around the world today. The threat is real, and it is unlikely to diminish. People, business, governments, and even armed forces are networked in a way or another. Thus, the cyber threat is also facing military networking. On the other hand, the concept of Network Centric Warfare sets high requirements for military tactical data communications and security. A challenging networking environment and cyber threats force us to consider new approaches to build security on the military communication systems. The purpose of this thesis is to develop a cyber security architecture for military networks, and to evaluate the designed architecture. The architecture is described as a technical functionality. As a new approach, the thesis introduces Cognitive Networks (CN) which are a theoretical concept to build more intelligent, dynamic and even secure communication networks. The cognitive networks are capable of observe the networking environment, make decisions for optimal performance and adapt its system parameter according to the decisions. As a result, the thesis presents a five-layer cyber security architecture that consists of security elements controlled by a cognitive process. The proposed architecture includes the infrastructure, services and application layers that are managed and controlled by the cognitive and management layers. The architecture defines the tasks of the security elements at a functional level without introducing any new protocols or algorithms. For evaluating two separated method were used. The first method is based on the SABSA framework that uses a layered approach to analyze overall security of an organization. The second method was a scenario based method in which a risk severity level is calculated. The evaluation results show that the proposed architecture fulfills the security requirements at least at a high level. However, the evaluation of the proposed architecture proved to be very challenging. Thus, the evaluation results must be considered very critically. The thesis proves the cognitive networks are a promising approach, and they provide lots of benefits when designing a cyber security architecture for the tactical military networks. However, many implementation problems exist, and several details must be considered and studied during the future work.

What do brain network interactions tell about cognitive processes? How to seek causality?

Optimal adjustment of brain networks allows the biased processing of information in response to the demand of environments and is therefore prerequisite for adaptive behaviour. It is widely shown that a biased state of networks is associated with a particular cognitive process. However, those associations were identified by backward categorization of trials and cannot provide a causal association with cognitive processes. This problem still remains a big obstacle to advance the state of our field in particular human cognitive neuroscience. In my talk, I will present two approaches to address the causal relationships between brain network interactions and behaviour. Firstly, we combined connectivity analysis of fMRI data and a machine leaning method to predict inter-individual differences of behaviour and responsiveness to environmental demands. The connectivity-based classification approach outperforms local activation-based classification analysis, suggesting that interactions in brain networks carry information of instantaneous cognitive processes. Secondly, we have recently established a brand new method combining transcranial alternating current stimulation (tACS), transcranial magnetic stimulation (TMS), and EEG. We use the method to measure signal transmission between brain areas while introducing extrinsic oscillatory brain activity and to study causal association between oscillatory activity and behaviour. We show that phase-matched oscillatory activity creates the phase-dependent modulation of signal transmission between brain areas, while phase-shifted oscillatory activity blunts the phase-dependent modulation. The results suggest that phase coherence between brain areas plays a cardinal role in signal transmission in the brain networks. In sum, I argue that causal approaches will provide more concreate backbones to cognitive neuroscience.

Time scales in cognitive neuroscience

Cognitive neuroscience boils down to describing the ways in which cognitive function results from brain activity. In turn, brain activity shows complex fluctuations, with structure at many spatio-temporal scales. Exactly how cognitive function inherits the physical dimensions of neural activity, though, is highly non-trivial, and so are generally the corresponding dimensions of cognitive phenomena. As for any physical phenomenon, when studying cognitive function, the first conceptual step should be that of establishing its dimensions. Here, we provide a systematic presentation of the temporal aspects of task-related brain activity, from the smallest scale of the brain imaging technique's resolution, to the observation time of a given experiment, through the characteristic time scales of the process under study. We first review some standard assumptions on the temporal scales of cognitive function. In spite of their general use, these assumptions hold true to a high degree of approximation for many cognitive (viz. fast perceptual) processes, but have their limitations for other ones (e.g., thinking or reasoning). We define in a rigorous way the temporal quantifiers of cognition at all scales, and illustrate how they qualitatively vary as a function of the properties of the cognitive process under study. We propose that each phenomenon should be approached with its own set of theoretical, methodological and analytical tools. In particular, we show that when treating cognitive processes such as thinking or reasoning, complex properties of ongoing brain activity, which can be drastically simplified when considering fast (e.g., perceptual) processes, start playing a major role, and not only characterize the temporal properties of task-related brain activity, but also determine the conditions for proper observation of the phenomena. Finally, some implications on the design of experiments, data analyses, and the choice of recording parameters are discussed.

Investigating the process of translation:humour translation norms, strategies and approaches in children's literature

Research in the present thesis is focused on the norms, strategies,and approaches which translators employ when translating humour in Children's Literature from English into Greek. It is based on process-oriented descriptive translation studies, since the focus is on investigating the process of translation. Viewing translation as a cognitive process and a problem soling activity, this thesis Think-aloud protocols (TAPs) in order to investigate translator's minds. As it is not possible to directly observe the human mind at work, an attempt is made to ask the translators themselves to reveal their mental processes in real time by verbalising their thoughts while carrying out a translation task involving humour. In this study, thirty participants at three different levels of expertise in translation competence, i.e. tn beginner, ten competent, and ten experts translators, were requested to translate two humourous extracts from the fictional diary novel The Secret Diary of Adrian Mole, Aged 13 ¾ by Sue Townsend (1982) from English into Greek. As they translated, they were asked to verbalise their thoughts and reason them, whenever possible, so that their strategies and approaches could be detected, and that subsequently, the norms that govern these strategies and approaches could be revealed. The thesis consists of four parts: the introduction, the literature review, the study, and the conclusion, and is developed in eleven chapters. the introduction contextualises the study within translation studies (TS) and presents its rationale, research questions, aims, and significance. Chapters 1 to 7 present an extensive and inclusive literature review identifying the principles axioms that guide and inform the study. In these seven chapters the following areas are critically introduced: Children's literature (Chapter 1), Children's Literature Translation (Chapter 2), Norms in Children's Literature (Chapter 3), Strategies in Children's Literature (Chapter 4), Humour in Children's Literature Translation (Chapter 5), Development of Translation Competence (Chapter 6), and Translation Process Research (Chapter 7). In Chapters 8 - 11 the fieldwork is described in detail. the piolot and the man study are described with a reference to he environments and setting, the participants, the research -observer, the data and its analysis, and limitations of the study. The findings of the study are presented and analysed in Chapter 9. Three models are then suggested for systematising translators' norms, strategies, and approaches, thus, filling the existing gap in the field. Pedagogical norms (e.g. appropriateness/correctness, famililarity, simplicity, comprehensibility, and toning down), literary norms (e.g. sound of language and fluency). and source-text norms (e.g. equivalence) were revealed to b the most prominent general and specific norms governing the translators'  strategies and approaches in the process of translating humour in ChL. The data also revealed that monitoring and communication strategies (e.g. additions, omissions, and exoticism) were the prevalent strategies employed by translators. In Chapter 10 the main findings and outcomes of a potential secondary benefit (beneficial outcomes) are discussed on the basis of the research questions and aims of the study, and implications of the study are tackled in Chapter 11. In the conclusion, suggestions for future directions are given and final remarks noted.

A Cognitive Science Reasoning in Recognition of Emotions in Audio-Visual Speech

In this report we summarize the state-of-the-art of speech emotion recognition from the signal processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the observation is made that existing approaches for supervised machine learning lead to database dependent classifiers which can not be applied for multi-language speech emotion recognition without additional training because they discriminate the emotion classes following the used training language. As there are experimental results showing that Humans can perform language independent categorisation, we made a parallel between machine recognition and the cognitive process and tried to discover the sources of these divergent results. The analysis suggests that the main difference is that the speech perception allows extraction of language independent features although language dependent features are incorporated in all levels of the speech signal and play as a strong discriminative function in human perception. Based on several results in related domains, we have suggested that in addition, the cognitive process of emotion-recognition is based on categorisation, assisted by some hierarchical structure of the emotional categories, existing in the cognitive space of all humans. We propose a strategy for developing language independent machine emotion recognition, related to the identification of language independent speech features and the use of additional information from visual (expression) features.

Information Processing in a Cognitive Model of NLP

A model of the cognitive process of natural language processing has been developed using the formalism of generalized nets. Following this stage-simulating model, the treatment of information inevitably includes phases, which require joint operations in two knowledge spaces – language and semantics. In order to examine and formalize the relations between the language and the semantic levels of treatment, the language is presented as an information system, conceived on the bases of human cognitive resources, semantic primitives, semantic operators and language rules and data. This approach is applied for modeling a specific grammatical rule – the secondary predication in Russian. Grammatical rules of the language space are expressed as operators in the semantic space. Examples from the linguistics domain are treated and several conclusions for the semantics of the modeled rule are made. The results of applying the information system approach to the language turn up to be consistent with the stages of treatment modeled with the generalized net.

The influence of environmental distraction on cognitive abilities in ADL performance after frontal brain injured.

Background: Previous studies have reported errors in Activities of Daily Living (ADL) under the presence of distracting objects in dementia and brain injury patients. However, little is known about which distractor-target objects relation might be more harmful for performance. Method: We compared the ADL execution in frontal brain injured patients and control participants under two conditions: One in which target objects were mixed with distractor objects that constituted an alternative semantically related but non-required task (contextual condition) and another in which target objects were mixed with related but isolated distractors that did not constituted a coherent task (non-contextual condition). We separately analyzed ADL commission errors (repetitions, substitutions, objects manipulations, failures in sequence, extra actions) and omissions. In addition, the participants were evaluated with a neuropsychological protocol including a very specific executive functions task (Selective attention, Stimulus-Stimulus and Stimulus-Response conflict). Results: We found that frontal patients produced more commission errors compared to control participants, but only under the contextual condition. No between groups significant differences were found in omissions in both conditions or commission errors in non-contextual conditions. Scores in the Stimulus-Response conflict was significantly correlated with commission errors in the contextual condition. Conclusion: The presence of different non-target objects in ADL performance could require different cognitive process. Contextual ADL conditions required a higher level of executive functions, especially at the level of response (Stimulus-Response conflict). Application to Practice: Occupational therapists should control the presence of objects related to the target task according to the intervention objectives with the patients.

Modelos organizadores do pensamento: uma perspectiva de pesquisa sobre o raciocínio moral com adolescentes autores de infração

This article has the aim to expand the perspective of research in the field of morality. We present a proposal of morality study of outlaw teenagers according to Thinking Organizer Models Theory. Through the idea of complexity we search to understand the cognitive process in the elaboration of moral reasoning inside situations of conflict. With this perspective, we developed a research that aimed to identify which organizer models were applied by 20 outlaw male teenagers who abide by social punishment to solve the hypothetical moral conflicts. Through interviews we told them a situation of moral conflict that involved friendship relation, physical aggression and steal. We could identified several models which were joined in three categories. Such models reflected the diversity and regularity that are present inside the elaborated reasoning to solve the conflicts shown by us. We conclude that the diversity of organizer models identified shows the importance of the contents in the construction of moral reasoning.

Estudo da percepção dos problemas de usabilidade de um software relacionados com o desempenho dos processos cognitivos

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.