e-Social Science and Evidence-Based Policy Assessment : Challenges and Solutions

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Knowledge modeling for software design

This paper develops a modeling framework for systems engineering that encompasses systems modeling, task modeling, and knowledge modeling, and allows knowledge engineering and software engineering to be seen as part of a unified developmental process. This framework is used to evaluate what novel contributions the 'knowledge engineering' paradigm has made and how these impact software engineering

Belief Revision with Uncertain Inputs in the Possibilistic Setting

This paper discusses belief revision under uncertain inputs in the framework of possibility theory. Revision can be based on two possible definitions of the conditioning operation, one based on min operator which requires a purely ordinal scale only, and another based on product, for which a richer structure is needed, and which is a particular case of Dempster's rule of conditioning. Besides, revision under uncertain inputs can be understood in two different ways depending on whether the input is viewed, or not, as a constraint to enforce. Moreover, it is shown that M.A. Williams' transmutations, originally defined in the setting of Spohn's functions, can be captured in this framework, as well as Boutilier's natural revision.Comment: Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996

Animating Interview Narratives

This chapter discusses the implications of viewing the interview as an actively constructed conversation through which narrative data are produced. It explores the ramifications of framing the interview and resulting data as by-products of interpretive practice - the whats and hows of an animated process involving active subjects behind interview participants. Matters of reliability, validity, bias, and rigor are considered

Projective Techniques in US Marketing and Management Research: The Influence of \u3cem\u3eThe Achievement Motive\u3c/em\u3e

Purpose – This paper aims to examine the use of projective techniques for published marketing and management research in the USA. The paper emphasizes the influence that McClelland, Atkinson, Clark and Lowell’s study, The Achievement Motive (1953), has had on subsequent research. That work applied quantitative analysis to responses obtained using projective techniques. Design/methodology/approach – The approaches used in this paper consist of descriptive historical methods and a literature review. The historical analysis was conducted using Kuhn’s 1967 conception of paradigms, showing that the paradigm from which projective techniques emerged – psychoanalysis – failed to gather many adherents outside the discipline of psychology. The paradigm failed to gain adherents in US colleges of business, although there are some exceptions. One exception is managerial motivation research, which built on the traditions of The Achievement Motive. The literature review suggests that, despite lacking institutional bases that could be used to develop new adherents to the paradigm, projective techniques were used by a number of researchers, but this research was marginalized, criticized or misunderstood by adherents of the dominant paradigm, positivism. Findings – Some of the criticism directed at projective techniques research by positivists involves criticism of the paradigm’s assumption that humans have an unconscious, and a belief that projective techniques are unreliable and invalid. This paper points out that a growing number of cognitive psychologists now accept the existence of an unconscious, and measure it using the “implicit association test.” This paper argues that the IAT is an associational test is the tradition of word association. Moreover, the literature review shows that projective techniques are much more reliable than critics contend, and exhibit greater predictive validity than many positivist instruments. Research limitations/implications – As with all literature reviews, this one does not include every published research study using projective techniques. As a consequence, the conclusions may not be generalizable to the studies excluded from the analysis. Originality/value – The paper is one of the few to assemble the literature on projective techniques used in several disciplines, and draw conclusions from these about the applicability of the techniques to market research

Contextual Media Retrieval Using Natural Language Queries

The widespread integration of cameras in hand-held and head-worn devices as well as the ability to share content online enables a large and diverse visual capture of the world that millions of users build up collectively every day. We envision these images as well as associated meta information, such as GPS coordinates and timestamps, to form a collective visual memory that can be queried while automatically taking the ever-changing context of mobile users into account. As a first step towards this vision, in this work we present Xplore-M-Ego: a novel media retrieval system that allows users to query a dynamic database of images and videos using spatio-temporal natural language queries. We evaluate our system using a new dataset of real user queries as well as through a usability study. One key finding is that there is a considerable amount of inter-user variability, for example in the resolution of spatial relations in natural language utterances. We show that our retrieval system can cope with this variability using personalisation through an online learning-based retrieval formulation.Comment: 8 pages, 9 figures, 1 tabl

Theory formation by abduction : a case study based on the chemical revolution

Abduction is the process of constructing explanations. This chapter suggests that automated abduction is a key to advancing beyond the "routine theory revision" methods developed in early AI research towards automated reasoning systems capable of "world model revision" - dramatic changes in systems of beliefs such as occur in children's cognitive development and in scientific revolutions. The chapter describes a general approach to automating theory revision based upon computational methods for theory formation by abduction. The approach is based on the idea that, when an anomaly is encountered, the best course is often simply to suppress parts of the original theory thrown into question by the contradiction and to derive an explanation of the anomalous observation based on relatively solid, basic principles. This process of looking for explanations of unexpected new phenomena can lead by abductive inference to new hypotheses that can form crucial parts of a revised theory. As an illustration, the chapter shows how some of Lavoisier's key insights during the Chemical Revolution can be viewed as examples of theory formation by abduction