922 resultados para Analogical reasoning
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Boundaries of belonging: transnational adoption and the significance of origin in Swedish official rhetoric This article explores how the category of ‘transnational adoptees’ in Sweden is constructed in two Official Government Reports (SOU). The article is inspired by poststructuralist perspectives on welfare and social categorization, and draws from a postcolonial and feminist theoretical framework. ‘Transnational adoptees’ as a category is understood as constituted through discourse, and given meaning in different contexts. In the reports, a fundamental importance is attached to the fact that individuals with a background as transnationally adopted have been separated from their birth family and country of birth. It is argued that mental problems and a split identity are consequences to be expected from the separation. (Re)connection to the origin is therefore considered to be crucial for the well-being of the group. The article concludes that this line of reasoning is based on a specific logic of blood and roots, in which ‘transnational adoptees’ are understood as belonging to their countries of birth, rather than Sweden. The logic of blood and roots can be read as a form of racialized othering, but also as a discursive exclusion of ‘transnational adoptees’ from Sweden as an imagined, national community.
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Anthropomorphism has long been considered a cardinal error when describing animals. Ethicists have feared the consequences of misrepresenting animals in their reasoning. Recent research within human-animal studies, however, has sophisticated the notion of anthropomorphism. It is suggested that avoiding anthropomorphism merely creates other morphisms, such as mechanomorphism. Instead of avoiding anthropomorphism, it is argued that it is a communicative strategy that should be used critically. Instances of anthropomorphism in animal ethics are analyzed in this paper. Some analogies made between people and non-human animals in present theories of animal ethics are clear instances of psychological anthropomorphism. Other analogies are implicit cases of cultural anthropomorphism. It is argued that animal ethics needs to take the wider discourse of critical anthropomorphism into account in order to sophisticate the understanding and use of anthropomorphic projections. Anthropomorphism is an efficient tool of communication, and it may be made an adequate one as well.
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Images are used in history education for a variety of reasons, not least to generate interest through a better understanding of historical events and people. The aim of this study was to investigate how historical pictures, either illustrated or documentary/photographic, can be used as a resource for activating and improving pupils' historical empathy, in the way described by Stéphane Lévasque. I conducted a reception study on five different focus groups consisting of pupils from different upper secondary schools in Sweden. The pupils varied with regard to number of credits for admission to upper secondary school. A sixth group of pupils was interviewed as a contrasting control group in order to add perspective to the results. The discussions were based on the pupils' interpretations of 34 selected pictures, all of which were taken from the most common history textbooks. Each pupil was asked to choose the picture he/she felt was the most representative historical image. On the basis of the strategies used by the pupils when interpreting the pictures and discussing them, the material was analysed in accordance with Lévesque's categories: imagination, historical contextualisation and morals. The last category, morals, was further divided into three sub-categories: sense of justice, sympathy and progression. The reflections of the pupils and the degree of contextualisation varied. It appeared that the pupils were less inclined to discuss assumptions about the persons in the pictures; instead they chose to discuss the historical context in question. The pictures in this study did not seem to trigger the pupils to fabricate anachronistic reasoning about history; when they did produce lengthy reasoning, it was contextual, structural and metahistorical. In this context, the pupils who belonged to the group with the highest average of credits showed some signs of reflection on the basis of historical context and some criticism about the historical sources. On no occasion did any of the pupils choose a picture as a concrete expression of injustice. One of the questions this study aimed to explore was whether a lack of historical context affects how pictures trigger emotions and reasoning on the basis of moral aspects. Some of the pupils displayed moral standpoints, primarily the degree of morals concerning injustice. One possible interpretation could be that the feeling of being unfairly treated and subjected to insulting behaviour and social injustice was something the pupils could relate to. The group of pupils who had not yet studied history at upper secondary school, the control group, generally made reflections using this sort of reasoning when they discussed the historical aspects of the pictures.
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Lärare är personen som planerar, genomför och utvärderar undervisning. Eftersom att elevers matematiska resonemang, enligt aktuella styrdokument, ska utvecklas i undervisningen har läraren en given roll som påverkar hur eleven ges möjlighet att utveckla resonemangskompetens. Hur lärare uppfattar matematiska resonemang blir därmed en nyckelkomponent i vad som sker i undervisningen. Kan elevers förmåga att resonera påverkas om lärare uppfattar matematiska resonemang på skilda sätt? I denna studie diskuteras aktuell forskning om matematiska resonemang och dess betydelse i undervisningen. Två lärare har intervjuats och deras utsagor jämförs med den aktuella forskningen. Dessa kvalitativa intervjuer i relation till forskningen har visat sig öppna dörren för mer omfattande forskning inom detta ämnesområde då intressanta slutsatser har dragits, utan att dessa har generaliserats. I resultaten har det framkommit att elevers förmåga att resonera påverkas i en hög utsträckning av lärarens val att antingen ge elever en redan fungerande strategi eller att låta eleverna själva kämpa med en uppgift. Av intervjumaterialet med två lärare har det framkommit att frågeställningen varför saknas helt medan frågeställningen hur är vanligt förekommande. I denna studie har lärarnas utlåtanden blivit intressanta då forskning har visat att om elevers förmåga att argumentera för egna strategival ska utvecklas är frågeställningen varför avgörande. Därmed påverkar lärares uppfattningar om matematiska resonemang elevers förmåga att föra matematiska resonemang.
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Research objectives Poker and responsible gambling both entail the use of the executive functions (EF), which are higher-level cognitive abilities. The main objective of this work was to assess if online poker players of different ability show different performances in their EF and if so, which functions are the most discriminating ones. The secondary objective was to assess if the EF performance can predict the quality of gambling, according to the Gambling Related Cognition Scale (GRCS), the South Oaks Gambling Screen (SOGS) and the Problem Gambling Severity Index (PGSI). Sample and methods The study design consisted of two stages: 46 Italian active players (41m, 5f; age 32±7,1ys; education 14,8±3ys) fulfilled the PGSI in a secure IT web system and uploaded their own hand history files, which were anonymized and then evaluated by two poker experts. 36 of these players (31m, 5f; age 33±7,3ys; education 15±3ys) accepted to take part in the second stage: the administration of an extensive neuropsychological test battery by a blinded trained professional. To answer the main research question we collected all final and intermediate scores of the EF tests on each player together with the scoring on the playing ability. To answer the secondary research question, we referred to GRCS, PGSI and SOGS scores. We determined which variables that are good predictors of the playing ability score using statistical techniques able to deal with many regressors and few observations (LASSO, best subset algorithms and CART). In this context information criteria and cross-validation errors play a key role for the selection of the relevant regressors, while significance testing and goodness-of-fit measures can lead to wrong conclusions. Preliminary findings We found significant predictors of the poker ability score in various tests. In particular, there are good predictors 1) in some Wisconsin Card Sorting Test items that measure flexibility in choosing strategy of problem-solving, strategic planning, modulating impulsive responding, goal setting and self-monitoring, 2) in those Cognitive Estimates Test variables related to deductive reasoning, problem solving, development of an appropriate strategy and self-monitoring, 3) in the Emotional Quotient Inventory Short (EQ-i:S) Stress Management score, composed by the Stress Tolerance and Impulse Control scores, and in the Interpersonal score (Empathy, Social Responsibility, Interpersonal Relationship). As for the quality of gambling, some EQ-i:S scales scores provide the best predictors: General Mood for the PGSI; Intrapersonal (Self-Regard; Emotional Self-Awareness, Assertiveness, Independence, Self-Actualization) and Adaptability (Reality Testing, Flexibility, Problem Solving) for the SOGS, Adaptability for the GRCS. Implications for the field Through PokerMapper we gathered knowledge and evaluated the feasibility of the construction of short tasks/card games in online poker environments for profiling users’ executive functions. These card games will be part of an IT system able to dynamically profile EF and provide players with a feedback on their expected performance and ability to gamble responsibly in that particular moment. The implementation of such system in existing gambling platforms could lead to an effective proactive tool for supporting responsible gambling.
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Very large scale computations are now becoming routinely used as a methodology to undertake scientific research. In this context, `provenance systems' are regarded as the equivalent of the scientist's logbook for in silico experimentation: provenance captures the documentation of the process that led to some result. Using a protein compressibility analysis application, we derive a set of generic use cases for a provenance system. In order to support these, we address the following fundamental questions: what is provenance? how to record it? what is the performance impact for grid execution? what is the performance of reasoning? In doing so, we define a technologyindependent notion of provenance that captures interactions between components, internal component information and grouping of interactions, so as to allow us to analyse and reason about the execution of scientific processes. In order to support persistent provenance in heterogeneous applications, we introduce a separate provenance store, in which provenance documentation can be stored, archived and queried independently of the technology used to run the application. Through a series of practical tests, we evaluate the performance impact of such a provenance system. In summary, we demonstrate that provenance recording overhead of our prototype system remains under 10% of execution time, and we show that the recorded information successfully supports our use cases in a performant manner.
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The requirement for Grid middleware to be largely transparent to individual users and at the same time act in accordance with their personal needs is a difficult challenge. In e-science scenarios, users cannot be repeatedly interrogated for each operational decision made when enacting experiments on the Grid. It is thus important to specify and enforce policies that enable the environment to be configured to take user preferences into account automatically. In particular, we need to consider the context in which these policies are applied, because decisions are based not only on the rules of the policy but also on the current state of the system. Consideration of context is explicitly addressed, in the agent perspective, when deciding how to balance the achievement of goals and reaction to the environment. One commonly-applied abstraction that balances reaction to multiple events with context-based reasoning in the way suggested by our requirements is the belief-desire-intention (BDI) architecture, which has proven successful in many applications. In this paper, we argue that BDI is an appropriate model for policy enforcement, and describe the application of BDI to policy enforcement in personalising Grid service discovery. We show how this has been implemented in the myGrid registry to provide bioinformaticians with control over the services returned to them by the service discovery process.
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Existing registry technologies such as UDDI can be enhanced to support capabilities for semantic reasoning and inquiry, which subsequently increases its usability range. The Grimoires registry was developed to provide such support through the use of metadata attachments to registry entities. The use of such attachments provides a way for allowing service operators to specify security assertions pertaining to registry entities owned by them. These assertions may however have to be reconciled with existing registry policies. A security architecture based on the XACML standard and deployed in the OMII framework is outlined to demonstrate how this goal is achieved in the registry.
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In this paper we describe our system for automatically extracting "correct" programs from proofs using a development of the Curry-Howard process. Although program extraction has been developed by many authors, our system has a number of novel features designed to make it very easy to use and as close as possible to ordinary mathematical terminology and practice. These features include 1. the use of Henkin's technique to reduce higher-order logic to many-sorted (first-order) logic; 2. the free use of new rules for induction subject to certain conditions; 3. the extensive use of previously programmed (total, recursive) functions; 4. the use of templates to make the reasoning much closer to normal mathematical proofs and 5. a conceptual distinction between the computational type theory (for representing programs)and the logical type theory (for reasoning about programs). As an example of our system we give a constructive proof of the well known theorem that every graph of even parity, which is non-trivial in the sense that it does not consist of isolated vertices, has a cycle. Given such a graph as input, the extracted program produces a cycle as promised.
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This paper provides a semantics for the UML-RSDS (Reactive System Development Support) subset of UML, using the real-time action logic (RAL) formalism. We show how this semantics can be used to resolve some ambiguities and omissions in UML semantics, and to support reasoning about specifications using the B formal method and tools. We use `semantic profiles' to provide precise semantics for different semantic variation points of UML. We also show how RAL can be used to give a semantics to notations for real-time specification in UML. Unlike other approaches to UML semantics, which concentrate on the class diagram notation, our semantic representation has behaviour as a central element, and can be used to define semantics for use cases, state machines and interactions, in addition to class diagrams.
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This paper describes the development of a new approach to the use of ICT for the teaching of courses in the interpretation and evaluation of evidence. It is based on ideas developed for the teaching of science to school children, in particular the importance of models and qualitative reasoning skills. In the first part, we make an analysis of the basis of current research into “evidence scholarship” and the demands such a system would have to meet. In the second part, we introduce the details of such a system that we developed initially to assist police in the interpretation of evidence.
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Consideration of a wide range of plausible crime scenarios during any crime investigation is important to seek convincing evidence and hence to minimize the likelihood of miscarriages of justice. It is equally important for crime investigators to be able to employ effective and efficient evidence-collection strategies that are likely to produce the most conclusive information under limited available resources. An intelligent decision support system that can assist human investigators by automatically constructing plausible scenarios, and reasoning with the likely best investigating actions will clearly be very helpful in addressing these challenging problems. This paper presents a system for creating scenario spaces from given evidence, based on an integrated application of techniques for compositional modelling and Bayesian network-based evidence evaluation. Methods of analysis are also provided by the use of entropy to exploit the synthesized scenario spaces in order to prioritize investigating actions and hypotheses. These theoretical developments are illustrated by realistic examples of serious crime investigation.