Search for dissertations about: "Legal Rationality"
Showing result 1 - 5 of 13 swedish dissertations containing the words Legal Rationality.
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1. Confirmation Bias in Criminal Cases
Abstract : Confirmation bias is a tendency to selectively search for and emphasize information that is consistent with a preferred hypothesis, whereas opposing information is ignored or downgraded. This thesis examines the role of confirmation bias in criminal cases, primarily focusing on the Swedish legal setting. READ MORE
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2. Going Green : A Study of Public Procurement Regulation
Abstract : In Sociology of Law the discussions about regulation have been extensive and the issue of public procurement is gaining momentum as its true financial value and potential to impact markets are realised. This thesis aims to look at the regulation of green public procurement (GPP) by analysing findings from an in-depth case study in a Swedish context, using interviews with procurement officers as well as analyses of court cases. READ MORE
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3. Modern Genes : Body, Rationality and Ambivalence
Abstract : The main objective of this ethnological thesis is to investigate the linkage between everyday life with a genetic disease and intrinsic patterns of modernity. The thesis is a compilation thesis that contains four individual articles each addressing the everyday experience of a genetic disease from different angles, with different research questions and theoretical presumptions. READ MORE
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4. Performance Management, Rationality and Participation in Public Sector Organisation
Abstract : This doctoral thesis critically examines the role of performance management in public sector organisations. In particular, it explores how performance management relates to different concepts of rationality (instrumental, value and communicative), including issues around rationality and power, and the relationship between these concepts and various models of participation and democracy. READ MORE
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5. Principle-based non-monotonic reasoning - from humans to machines
Abstract : A key challenge when developing intelligent agents is to instill behavior into computing systems that can be considered as intelligent from a common-sense perspective. Such behavior requires agents to diverge from typical decision-making algorithms that strive to maximize simple and often one-dimensional metrics. READ MORE