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  1. Précis of simple heuristics that make us Smart.Peter M. Todd & Gerd Gigerenzer - 2000 - Behavioral and Brain Sciences 23 (5):727-741.
    How can anyone be rational in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury? Traditional models of unbounded rationality and optimization in cognitive science, economics, and animal behavior have tended to view decision-makers as possessing supernatural powers of reason, limitless knowledge, and endless time. But understanding decisions in the real world requires a more psychologically plausible notion of bounded rationality. In Simple heuristics that make us smart (Gigerenzer et al. 1999), we (...)
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  • Moral heuristics.Cass R. Sunstein - 2005 - Behavioral and Brain Sciences 28 (4):531-542.
    With respect to questions of fact, people use heuristics – mental short-cuts, or rules of thumb, that generally work well, but that also lead to systematic errors. People use moral heuristics too – moral short-cuts, or rules of thumb, that lead to mistaken and even absurd moral judgments. These judgments are highly relevant not only to morality, but to law and politics as well. Examples are given from a number of domains, including risk regulation, punishment, reproduction and sexuality, and the (...)
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  • Soccer Science and the Bayes Community: Exploring the Cognitive Implications of Modern Scientific Communication.Jeff Shrager, Dorrit Billman, Gregorio Convertino, J. P. Massar & Peter Pirolli - 2010 - Topics in Cognitive Science 2 (1):53-72.
    Science is a form of distributed analysis involving both individual work that produces new knowledge and collaborative work to exchange information with the larger community. There are many particular ways in which individual and community can interact in science, and it is difficult to assess how efficient these are, and what the best way might be to support them. This paper reports on a series of experiments in this area and a prototype implementation using a research platform called CACHE. CACHE (...)
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  • Heuristics, hypotheses, and social influence: A new approach to the experimental simulation of social epistemology.Robert Rosenwein & Michael Gorman - 1995 - Social Epistemology 9 (1):57 – 69.
    (1995). Heuristics, hypotheses, and social influence: A new approach to the experimental simulation of social epistemology. Social Epistemology: Vol. 9, Simulating Science, pp. 57-69.
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  • Steering Problem Solving between Cliff Incoherence and Cliff Solitude.Joke Meheus & Diderik Batens - 1996 - Philosophica 58 (2).
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  • Turning Good into Gold: A Comparative Study of Two Environmental Invention Networks.Matthew M. Mehalik & Michael E. Gorman - 2002 - Science, Technology, and Human Values 27 (4):499-529.
    This article proposes three states in an actor-network and a global/local distinction among actants. This theoretical framework is applied to two invention networks: one created by an inventor of solar heating systems and another created by a designer who wanted to create an environmentally sustainable furniture fabric. Both solar inventor and fabric designer wanted to develop technologies that would improve the environment and also make money. The article concludes by considering whether invention networks that intend to turn “good into gold” (...)
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  • What's in a heuristic? Commentary on Sunstein, C.Ulrike Hahn, John M. Frost & Gregory Richard Maio - 2005 - Behavioral and Brain Sciences 28 (4):551-552.
    the term as used by sunstein seeks to bring together various traditions. however, there are significant differences between uses of the term in the cognitive and the social psychological research, and these differences are accompanied by very distinct evidential criteria. we suggest the term should refer to processes, which means that further evidence is required.
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  • Simulating social epistemology.Michael Gorman & Robert Rosenwein - 1995 - Social Epistemology 9 (1):71 – 79.
  • Introduction to Cognition in Science and Technology.Michael E. Gorman - 2009 - Topics in Cognitive Science 1 (4):675-685.
    Cognitive studies of science and technology have had a long history of largely independent research projects that have appeared in multiple outlets, but rarely together. The emergence of a new International Society for Psychology of Science and Technology suggests that this is a good time to put some of the latest work in this area into topiCS in a way that will both acquaint readers with the cutting edge in this domain and also give them a hint of its history. (...)
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  • Doing Science, Technology and Society in the National Science Foundation: Commentary on: “Engaged, Embedded, Enjoined: Science and Technology Studies in the National Science Foundation”.Michael E. Gorman - 2011 - Science and Engineering Ethics 17 (4):839-849.
    The author describes his efforts to become a participant observer while he was a Program Director at the NSF. He describes his plans for keeping track of his reflections and his goals before he arrived at NSF, then includes sections from his reflective diary and comments after he had completed his two-year rotation. The influx of rotators means the NSF has to be an adaptive, learning organization but there are bureaucratic obstacles in the way.
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  • Simulation Methods for an Abductive System in Science.D. C. Gooding & T. R. Addis - 2008 - Foundations of Science 13 (1):37-52.
    Syntactic and structural models specify relationships between their constituents but cannot show what outcomes their interaction would produce over time in the world. Simulation consists in iterating the states of a model, so as to produce behaviour over a period of simulated time. Iteration enables us to trace the implications and outcomes of inference rules and other assumptions implemented in the models that make up a theory. We apply this method to experiments which we treat as models of the particular (...)
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  • Human Rationality Challenges Universal Logic.Brian R. Gaines - 2010 - Logica Universalis 4 (2):163-205.
    Tarski’s conceptual analysis of the notion of logical consequence is one of the pinnacles of the process of defining the metamathematical foundations of mathematics in the tradition of his predecessors Euclid, Frege, Russell and Hilbert, and his contemporaries Carnap, Gödel, Gentzen and Turing. However, he also notes that in defining the concept of consequence “efforts were made to adhere to the common usage of the language of every day life.” This paper addresses the issue of what relationship Tarski’s analysis, and (...)
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  • Executive Control of Scientific Discovery.Eric G. Freedman - 1998 - Philosophica 62 (2).
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  • Societal dimensions of nanotechnology as a trading zone: results from a pilot project.Michael E. Gorman, James F. Groves & Jeff Shrager - 2004 - In Baird D. (ed.), Discovering the Nanoscale. Ios. pp. 63--77.
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