There is almost a universal agreement among scholars in information retrieval (IR) research that knowledge representation needs improvement. As core component of an IR system, improvement of the knowledge representation system has so far involved manipulation of this component based on principles such as vector space, probabilistic approach, inference network, and language modeling, yet the required improvement is still far from fruition. One promising approach that is highly touted to offer a potential solution exists in the cognitive paradigm, where knowledge representation practice should involve, or start from, modeling the human conceptual system. This study based on two related cognitive theories: the theory-based approach to concept representation and the psychological theory of semantic relations, ventured to explore the connection between the human conceptual model and the knowledge representation model (represented by samples of concepts and relations from the unified medical language system, UMLS). Guided by these cognitive theories and based on related and appropriate data-analytic tools, such as nonmetric multidimensional scaling, hierarchical clustering, and content analysis, this study aimed to conduct an exploratory investigation to answer four related questions. Divided into two groups, a total of 89 research participants took part in two sets of cognitive tasks. The first group (49 participants) sorted 60 food names into categories followed by simultaneous description of the derived categories to explain the rationale for category judgment. The second group (40 participants) performed sorting 47 semantic relations (the nonhierarchical associative types) into 5 categories known a priori. Three datasets resulted as a result of the cognitive tasks: food-sorting data, relation-sorting data, and free and unstructured text of category descriptions. Using the data analytic tools mentioned, data analysis was carried out and important results and findings were obtained that offer plausible explanations to the 4 research questions. Major results include the following: (a) through discriminant analysis category members were predicted consistently in 70% of the time; (b) the categorization bases are largely simplified rules, naïve explanations, and feature-based; (c) individuals theoretical explanation remains valid and stays stable across category members; (d) the human conceptual model can be fairly reconstructed in a low-dimensional space where 93% of the variance in the dimensional space is accounted for by the subjects performance; (e) participants consistently classify 29 of the 47 semantic relations; and, (f) individuals perform better in the functional and spatial dimensions of the semantic relations classification task and perform poorly in the conceptual dimension.

The rise in popularity of the female sleuth television programs makes it important to explore representations of gender and knowledge. This investigation analyzes interpretations of intuition in the television sleuth genre and relevant paratexts, examines gendered public and private spheres and raises broader questions about gendered knowledge in the series Medium, Crossing Jordan, Law and Order: Criminal Intent, Veronica Mars, Monk, The Profiler and True Calling. Rooted in feminist cultural studies, historical and sociological analysis, television and film theory and work on the detective genre, this investigation establishes common frames, or filters, through which the television sleuth genre represents intuition and the gendered experience of knowledge. Women with intuition are depicted as unstable, dangerous and mentally ill. Though framed similarly, intuitive men have more freedom. This study expands on academic research on television representations of gender and knowledge. Societal implications include further understanding of meaning-making in regard to gendered knowing. / by Sheela Celeste Dominguez. / Thesis (M.A.)--Florida Atlantic University, 2008. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2008. Mode of access: World Wide Web.

Intermediate elementary students (grades 4 and 5) frequently struggle to become scientifically literate in their general education classrooms. Scientific literacy includes knowing how to access and use information found in science texts. Unfortunately, many students struggle to read and understand science texts (Michalsky, Mevarech, & Haibi, 2009, p. 363). Fortunately, elementary students have shown improvement in reading comprehension when explicitly instructed in cognitive and metacognitive strategies to comprehend expository text in settings that support collaboration and flexible application of comprehension strategies, and have meaningful opportunities for reading and writing (Mastropieri & Scruggs, 2004; Palincsar & Klenk, 1992). A method that includes these components is reciprocal teaching (RT; National Reading Panel, 2000). RT has been used during content area instruction to increase reading comprehension skills of intermediate elementary students without disabilities in general education classrooms (King & Johnson, 1999; Lederer, 2000; Lubliner, 2004). These reading comprehension gains have been maintained by students on follow-up tests after the RT intervention has been withdrawn (Palincsar & Brown, 1984; Westera & Moore, 1995). This study examined the effects of RT on the science literacy of intermediate elementary students (grades 4-5) participating in inclusive science classes. Students with learning disabilities (SWLD), students at-risk (AR), and students in general education (GE) participated in this study. General education teachers used RT with science texts to improve science literacy. Pre/post science quizzes were used to assess the effects of the RT intervention, and post/follow-up tests assessed potential maintenance of the RT. s / Analyses of the data showed that the RT intervention resulted in improved science comprehension overall, and for each student group. In addition, the results showed that the gains were maintained for the individual student grouping after the RT intervention was removed, although these gains were not found overall.The study demonstrated that the use of RT during science instruction in inclusive, intermediate elementary classes assisted students who are AR, SWLD, and students in GE to attain science knowledge using standard science texts and materials. These results extend the experimental literature on science literacy and reciprocal teaching, particularly among intermediate elementary students. / by Kim E. DiLorenzo. / Thesis (Ed.D.)--Florida Atlantic University, 2010. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.

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To increase fitness for survival, organisms not only passively react to environmental changes but also actively predict future events to prepare for potential hazards within their environment. Accumulating evidence indicates that the human brain is a remarkable predictive machine which constantly models causal relationships and predicts future events. This ‘predictive processing' framework, a prediction-based form of Bayesian inference, states that the brain continuously generates and updates predictions about incoming sensory signals. This framework has been showing notable explanatory power in understanding the mechanisms behind both human behaviour and neurophysiological data and elegantly specifies the underlying computational principles of the neural system. However, even though predictive processing has the potential to provide a unified theory of the brain (Karl Friston, 2010), we still have a limited understanding about fundamental aspects of this model, such as how it deals with different types of information, learns statistical regularities and perhaps most fundamentally of all what its relationship to conscious experience is. This thesis aims to investigate the major gaps in our current understanding of the predictive processing framework via a series of studies. Study 1 investigated the fundamental relationship between unconscious statistical inference reflected by predictive processing and conscious access. It demonstrated that predictions that are in line with sensory evidence accelerate conscious access. Study 2 investigated how low level information within the sensory hierarchy is dealt with by predictive processing and regularity learning mechanisms through “perceptual echo” in which the cross-correlation between a sequence of randomly fluctuating luminance values and occipital electrophysiological (EEG) signals exhibits a long-lasting periodic (~100ms cycle) reverberation of the input stimulus. This study identified a new form of regularity learning and the results demonstrate that the perceptual echo may reflect an iterative learning process, governed by predictive processing. Study 3 investigated how supra-modal predictive processing is capable of learning regularities of temporal duration and also temporal predictions about future events. This study revealed a supramodal temporal prediction mechanism which processes auditory and visual temporal information and integrates information from the duration and rhythmic structures of events. Together these studies provide a global picture of predictive processing and regularity learning across differing types of predictive information.

The sense of agency is the experience of being the initiator of our intentional actions and their outcomes. According to higher order thought theory, a representation becomes conscious when there is a higher order state about it. Thus conscious experience, including that of intentions, is metacognitive. The experience of involuntariness characteristic of hypnotic responding may be attributable to the formation and maintenance of inaccurate metacognitive higher order states of intending. Conversely, the practice of Buddhist mindfulness meditation may develop accurate metacognition, including higher order states of intending. Highly hypnotisable people and mindfulness meditators may therefore occupy two ends of a spectrum of metacognitive ability with regard to unconscious intentions. The presented research investigated predicted trait differences in cognitive tasks which directly or indirectly reflect metacognition of intentions: the timing of an experience of an intention to move and the compressed time interval between a voluntary action and its outcome, known as intentional binding. As an implicit measure of sense of agency, intentional binding was also employed to investigate the veridicality of reports of the experience of involuntariness in hypnotic responding. Additionally, while hypnosis presents a unique opportunity to investigate reliable changes in agentic experience, existing hypnosis screening instruments are time consuming and present a barrier to wider adoption of hypnosis as an instrument for studying consciousness. Here a revised, time-efficient hypnosis screening procedure (the SWASH) is presented. Consistent with predictions, highly hypnotisable groups reported later awareness of motor intentions than less hypnotisable groups and meditators earlier awareness than non-meditators. In an intentional binding task, high hypnotisables showed less binding of an action-outcome toward an action (outcome binding) than low hypnotisables and meditators more outcome binding than non-meditators. Outcome binding was reduced in post-hypnotic involuntary action compared to voluntary action. It is proposed that intentional binding is driven by a cue combination mechanism and that these differences reflect varying precision of motor intention related information in reported timing judgements. The SWASH was found to be a reliable hypnosis screening instrument.

Our thoughts and behaviours can sometimes be influenced by stimuli that we are not consciously aware of having seen. For example, the presentation of a word that is blocked from entering conscious visual perception through masking can subsequently influence the cognitive processing of a further target word. However, the idea that unconscious cognition is sophisticated enough to process the semantic meaning of subliminal stimuli is controversial. This thesis attempts to explore the extent of subliminal priming. Empirical research centering on subjective methods of measuring conscious knowledge is presented in a series of three articles. The first article investigates the subliminal priming of negation. A series of experiments demonstrates that unconscious processing can accurately discriminate between two nouns beyond chance performance when subliminally instructed to either pick or not pick a given noun. This article demonstrates not only semantic processing of the instructional word, but also unconscious cognitive control by following a two-word subliminal instruction to not choose the primed noun. The second article investigates subliminal priming of active versus passive verb voice by presenting a prime sentence denoting one of two characters as either active or passive and asking which of two pictorial representations best matches the prime. The series of experiments demonstrates that overall, participants were able to identify the correct image for both active and passive conditions beyond chance expectations. This article suggests that individuals are able to process the meaning of word combinations that they are not aware of seeing. The third article attempts to determine whether subliminal processing is sophisticated enough to allow for the activation of specific anxieties relating to relationships. Whilst the findings reveal a small subliminal priming effect on generalised anxiety, the evidence regarding the subliminal priming of very specific anxieties is insensitive. The unconscious is shown in these experiments to be more powerful than previously supposed in terms of the fine grained processing of the semantics of word combinations, though not yet in terms of the fine grained resolution of emotional priming.

The following work presents an exploration of human search behaviour both from biological and computational perspectives. Search behaviour is defined as the movements made by an organism while attempting to find a resource. This work describes some of the principal procedures used to record movement, methods for analysing the data and possible ways of interpreting the data. In order to obtain a database of searching behaviour, an experimental setup was built and tested to generate the search paths of human participants. The test arena occupied part of a football field and the targets consisted of an array of 20 golf balls. In the first set of experiments, a random and regular distribution of targets were tested. For each distribution, three distinct conspicuity levels were constructed: a cryptic level, in which targets were painted the same colour as the grass, a semi-conspicuous level in which targets were left white and a conspicuous condition in which the position of each target was marked by a red flag, protruding one metre from the ground. The subjects tested were 9-11 year old children and their search paths were collected using a GPS device. Subjects did not recognise the spatial cues regarding the way targets were spatially distributed. A minimal decision model, the bouncing search model, was built based on the characteristics of the childrens search paths. The model produced an outstanding fit of the children's behavioural data. In the second set of experiments, a new group of children were tested for two new distributions obtained by arranging the targets in patches. Again, children appeared unable to recognise spatial information during the collection processes. The children's behaviour once again produced a good match with that of the bouncing search model. This work introduces several new methodological aspects to be explored to further understand the decision processes involved when humans search. Also, it illustrates that integrating biology and computational science can result in innovative research.

Two key questions underpin the research presented here. Firstly, how does altered higher order awareness contribute to hypnotic experience? Secondly, how do meditation and hypnosis differ in terms of the role of higher order awareness? These questions are addressed here in the form of four papers. In the first paper I review the literatures of hypnosis and meditation in order to consider the similarities and differences between meditation and hypnosis in terms of the role of attentional skill and the neural underpinnings of each. I then draw conclusions regarding the contrasting role of higher order awareness and metacognition in meditation and hypnosis. Paper two explores higher order awareness in hypnosis by comparing the effects of alcohol, compared to placebo, on hypnotisability and associated frontal lobe executive functioning. Paper three compares meditation and hypnosis by investigating differences in higher order thoughts, mindfulness, absorption and perceptual encoding style as revealed by self-report measures. The final paper takes a broader look at higher order awareness and its relation to the experience of agency and involuntariness in hypnotic suggestion using a Libet type paradigm.