Search results for 'Problem Solving' (try it on Scholar)

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  1. Edward Hodnett (1955). The Art of Problem Solving. New Yorkharper.score: 75.0
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  2. Dick Ruimschotel (1989). Explanation, Causation, and Psychological Theories: A Methodological Study Illustrated by an Analysis of Festinger's Theory of Cognitive Dissonance and Newell & Simon's Theory of Human Problem Solving. Swets & Zeitlinger.score: 75.0
  3. David Kirsh (2009). Problem Solving and Situated Cognition. In Philip Robbins & M. Aydede (eds.), The Cambridge Handbook of Situated Cognition. Cambridge.score: 60.0
    In the course of daily life we solve problems often enough that there is a special term to characterize the activity and the right to expect a scientific theory to explain its dynamics. The classical view in psychology is that to solve a problem a subject must frame it by creating an internal representation of the problem‘s structure, usually called a problem space. This space is an internally generable representation that is mathematically identical to a graph structure (...)
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  4. Mareike B. Wieth & Rose T. Zacks (2011). Time of Day Effects on Problem Solving: When the Non-Optimal is Optimal. Thinking and Reasoning 17 (4):387 - 401.score: 60.0
    In a study examining the effects of time of day on problem solving, participants solved insight and analytic problems at their optimal or non-optimal time of day. Given the presumed differences in the cognitive processes involved in solving these two types of problems, it was expected that the reduced inhibitory control associated with non-optimal times of the day would differentially impact performance on the two types of problems. In accordance with this expectation, results showed consistently greater insight (...)
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  5. Richard Tieszen (forthcoming). Mathematical Problem-Solving and Ontology: An Exercise. Axiomathes.score: 60.0
    In this paper the reader is asked to engage in some simple problem-solving in classical pure number theory and to then describe, on the basis of a series of questions, what it is like to solve the problems. In the recent philosophy of mind this “what is it like” question is one way of signaling a turn to phenomenological description. The description of what it is like to solve the problems in this paper, it is argued, leads to (...)
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  6. Alvin I. Goldman (1983). Epistemology and the Theory of Problem Solving. Synthese 55 (1):21 - 48.score: 60.0
    Problem solving has recently become a central topic both in the philosophy of science and in cognitive science. This paper integrates approaches to problem solving from these two disciplines and discusses the epistemological consequences of such an integration. The paper first analyzes problem solving as getting a true answer to a question. It then explores some stages of cognitive activity relevant to question answering that have been delineated by historians and philosophers of science and (...)
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  7. Ron Sun, Incubation, Insight, and Creative Problem Solving: A Unified Theory and a Connectionist Model.score: 60.0
    This article proposes a unified framework for understanding creative problem solving, namely, the explicit–implicit interaction theory. This new theory of creative problem solving constitutes an attempt at providing a more unified explanation of relevant phenomena (in part by reinterpreting/integrating various fragmentary existing theories of incubation and insight). The explicit–implicit interaction theory relies mainly on 5 basic principles, namely, (a) the coexistence of and the difference between explicit and implicit knowledge, (b) the simultaneous involvement of implicit and (...)
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  8. F. Michael Akeroyd (1993). Laudan's Problem Solving Model. British Journal for the Philosophy of Science 44 (4):785-788.score: 60.0
    A historical example is considered which conflicts with Laudan's Problem Solving Model [1981]. In the period 1840–85 chemists preferred a theory with 3 major conceptual problems (the Liebig Theory of Acids) to Lavoisier's which had only one major conceptual problem (why are the halogen hydrides acids?). The overall conceptual merits of Lavoisier's scheme have been revived in the modern Lux-Flood classification of Acids. Larry Laudan [1977], [1981] proposed a problem solving model of scientific rationality which (...)
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  9. Robert Arp (2005). Scenario Visualization: One Explanation of Creative Problem Solving. Journal of Consciousness Studies 12 (3):31-60.score: 60.0
    In this paper, I first present the ideas and arguments put forward by evolutionary psychologists that humans evolved certain capacities to creatively problem solve. Specifically, Steven Mithen thinks that creative problem solving is possible because the mind has evolved a conscious capacity he calls cognitive fluidity, the flexible exchange of information between and among mental modules. While I agree with Mithen that cognitive fluidity acts as a necessary condition for creative problem solving, I disagree that (...)
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  10. Merim Bilali (2008). Expert and “Novice” Problem Solving Strategies in Chess: Sixty Years of Citing de Groot (1946). Thinking and Reasoning 14 (4):395 – 408.score: 60.0
    In a famous study of expert problem solving, de Groot (1946/1978) examined how chess players found the best move. He reported that there was little difference in the way that the best players (Grand Masters) and very good players (Candidate Masters) searched the board. Although this result has been regularly cited in studies of expertise, it is frequently misquoted. It is often claimed that de Groot found no difference in the way that experts and novices investigate a (...). Comparison of expert and novice chess players on de Groot's problem shows that there are clear differences in their search patterns. We discuss the troublesome theoretical and practical consequences of incorrectly reporting de Groot's findings. (shrink)
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  11. Fernand Gobet, Peter McLeod & Merim Bilalić (2011). Expert and “Novice” Problem Solving Strategies in Chess: Sixty Years of Citing de Groot (1946). Thinking and Reasoning 14 (4):395-408.score: 60.0
    In a famous study of expert problem solving, de Groot (1946/1978) examined how chess players found the best move. He reported that there was little difference in the way that the best players (Grand Masters) and very good players (Candidate Masters) searched the board. Although this result has been regularly cited in studies of expertise, it is frequently misquoted. It is often claimed that de Groot found no difference in the way that experts and novices investigate a (...). Comparison of expert and novice chess players on de Groot's problem shows that there are clear differences in their search patterns. We discuss the troublesome theoretical and practical consequences of incorrectly reporting de Groot's findings. (shrink)
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  12. Ron Sun, Knowledge Integration in Creative Problem Solving.score: 60.0
    Most psychological theories of problem solving have focused on modeling explicit processes that gradually bring the solver closer to the solution in a mostly explicit and deliberative way. This approach to problem solving is typically inefficient when the problem is too complex, ill-understood, or ambiguous. In such a case, a ‘creative’ approach to problem solving might be more appropriate. In the present paper, we propose a computational psychological model implementing the Explicit-Implicit Interaction theory (...)
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  13. Ari Sutinen (forthcoming). Two Project Methods: Preliminary Observations on the Similarities and Differences Between William Heard Kilpatrick's Project Method and John Dewey's Problem-Solving Method. Educational Philosophy and Theory.score: 60.0
    The project method became a famous teaching method when William Heard Kilpatrick published his article ‘Project Method’ in 1918. The key idea in Kilpatrick's project method is to try to explain how pupils learn things when they work in projects toward different common objects. The same idea of pupils learning by work or action in an environment with objects also belongs to John Dewey's problem-solving method. Are Kilpatrick's project method and Dewey's problem-solving method the same thing? (...)
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  14. Fernand Gobet (1997). A Pattern-Recognition Theory of Search in Expert Problem Solving. Thinking and Reasoning 3 (4):291 – 313.score: 60.0
    Understanding how look-ahead search and pattern recognition interact is one of the important research questions in the study of expert problem solving. This paper examines the implications of the template theory Gobet & Simon, 1996a , a recent theory of expert memory, on the theory of problem solving in chess. Templates are chunks Chase & Simon, 1973 that have evolved into more complex data structures and that possess slots allowing values to be encoded rapidly. Templates may (...)
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  15. Marvin Croy (2000). Problem Solving, Working Backwards, and Graphic Proof Representation REVIEWS. Teaching Philosophy 23 (2):169-187.score: 60.0
    Newell and Simon’s seminal Human Problem Solving (1972) characterized a problem in terms of a goal state, a starting state, and a set of transition rules which define legitimate transitions from one state to another.1 Problem solving thus becomes a process of searching through a set of alternative states (the "problem space") in an effort to find a path leading from starting state to the goal state. The search process can be guided by heuristic (...)
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  16. Jim Davies, Nancy J. Nersessian & Ashok K. Goel (2005). Visual Models in Analogical Problem Solving. Foundations of Science 10 (1).score: 60.0
    Visual analogy is believed to be important in human problem solving. Yet, there are few computational models of visual analogy. In this paper, we present a preliminary computational model of visual analogy in problem solving. The model is instantiated in a computer program, called Galatea, which uses a language for representing and transferring visual information called Privlan. We describe how the computational model can account for a small slice of a cognitive-historical analysis of Maxwell’s reasoning about (...)
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  17. M. A. van Rees (2003). Pragma-Dialectical Analysis and Evaluation of Problem-Solving Discussion. Argumentation 17 (4):465-479.score: 60.0
    In this article, after arguing that present approaches to improving problem-solving discussions for various reasons are not satisfactory, I turn to the pragma-dialectic approach to argumentative discourse to derive a normative framework that can serve as a point of departure to enhance the quality of problem-solving discussions. I then show how this approach can be used as analytical and evaluative instrument that can help the analyst to establish whether participants in actual practice act in a fashion (...)
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  18. Lisa M. Osbeck & Nancy J. Nersessian (forthcoming). Affective Problem Solving: Emotion in Research Practice. Mind and Society.score: 60.0
    This paper presents an analysis of emotional and affectively toned discourse in biomedical engineering researchers’ accounts of their problem solving practices. Drawing from our interviews with scientists in two laboratories, we examine three classes of expression: explicit, figurative and metaphorical, and attributions of emotion to objects and artifacts important to laboratory practice. We consider the overall function of expressions in the particular problem solving contexts described. We argue that affective processes are engaged in problem (...), not as simply tacked onto reasoning but as integral to it. The examples we present illustrate the close relation of emotion to problem solving and experimentation; they also implicate social and cultural dimensions of emotion expression. The analysis underscores a need to consider emotional expression to be intimately and importantly tied to the cognitive achievements and social negotiations of laboratory practices. (shrink)
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  19. Joseph J. Fins, Matthew D. Bacchetta & Franklin G. Miller (1997). Clinical Pragmatism: A Method of Moral Problem Solving. Kennedy Institute of Ethics Journal 7 (2):129-143.score: 60.0
    : This paper presents a method of moral problem solving in clinical practice that is inspired by the philosophy of John Dewey. This method, called "clinical pragmatism," integrates clinical and ethical decision making. Clinical pragmatism focuses on the interpersonal processes of assessment and consensus formation as well as the ethical analysis of relevant moral considerations. The steps in this method are delineated and then illustrated through a detailed case study. The implications of clinical pragmatism for the use of (...)
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  20. Raanan Lipshitz, Daphna Leshem Levy & Keren Orchen (2006). Is This Problem Likely to Be Solved? A Cognitive Schema of Effective Problem Solving. Thinking and Reasoning 12 (4):413 – 430.score: 60.0
    The present study tested the existence of a cognitive schema that guides people's evaluations of the likelihood that observed problem-solving processes will succeed. The hypothesised schema consisted of attributes that were found to distinguish between retrospective case reports of successful and unsuccessful real world problem solving (Lipshitz & Bar Ilan, 1996). Participants were asked to evaluate the likelihood of success of identical cases of problem solving that differed in the presence or absence of diagnosis, (...)
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  21. Joseph R. Herkert (2005). Ways of Thinking About and Teaching Ethical Problem Solving: Microethics and Macroethics in Engineering. Science and Engineering Ethics 11 (3).score: 60.0
    Engineering ethics entails three frames of reference: individual, professional, and social. “Microethics” considers individuals and internal relations of the engineering profession; “macroethics” applies to the collective social responsibility of the profession and to societal decisions about technology. Most research and teaching in engineering ethics, including online resources, has had a “micro” focus. Mechanisms for incorporating macroethical perspectives include: integrating engineering ethics and science, technology and society (STS); closer integration of engineering ethics and computer ethics; and consideration of the influence of (...)
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  22. Henry Frankel (1980). Problem-Solving, Research Traditions, and the Development of Scientific Fields. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:29 - 40.score: 60.0
    The general thesis that science is essentially a problem-solving activity is extended to the development of new fields. Their development represents a research strategy for generating and solving new unsolved problems and solving existing ones in related fields. The pattern of growth of new fields is guided by the central problems within the field and applicable problems in other fields. Proponents of existing research traditions welcome work in new fields, if they believe it will increase the (...)
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  23. Magda Osman, Observation Can Be as Effective as Action in Problem Solving.score: 60.0
    The present study discusses findings that replicate and extend the original work of Burns and Vollmeyer (2002), which showed that performance in problem solving tasks was more accurate when people were engaged in a non-specific goal than in a specific goal. The main innovation here was to examine the goal specificity effect under both observation-based and conventional action-based learning conditions. The findings show that goal specificity affects the accuracy of problem solving in the same way, both (...)
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  24. Laura Macchi & Maria Bagassi (2012). Intuitive and Analytical Processes in Insight Problem Solving: A Psycho-Rhetorical Approach to the Study of Reasoning. Mind and Society 11 (1):53-67.score: 60.0
    Language and thought share a unitary cognitive activity, addressed by an interpretative function. This interpretative effort reveals the assonance between the attribution of meaning to an utterance and the discovery of a solution via restructuring in insight problem solving. We suggest a view of complex integrated analytical thinking, which assumes that thinking processes information in different ways, depending on the characteristics of the tasks the subject has to solve, so that reasoning results in a stepwise, rule-based process or (...)
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  25. Robert N. Mccauley (1986). Problem Solving in Science and the Competence Approach to Theorizing in Linguistics. Journal for the Theory of Social Behaviour 16 (3):299–312.score: 60.0
    The goals ofthis paper are to identify (in Section II) some general features of problem solving strategies in science, to discuss (in Section III) how Chomsky has employed two particularly popular discovery strategies in science, and to show (in Section IV) how these strategies inform Chomskyan linguistics. In Section IV I will discuss (1) how their employment in linguistics manifests features of scientific problem solving outlined in Section Il and (2) how an analysis in terms of (...)
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  26. Anna Weller, Gaëlle Villejoubert & Frédéric Vallée-Tourangeau (2011). Interactive Insight Problem Solving. Thinking and Reasoning 17 (4):424 - 439.score: 60.0
    Insight problem solving was investigated with the matchstick algebra problems developed by Knoblich, Ohlsson, Haider, and Rhenius (1999). These problems are false equations expressed with Roman numerals that can be made true bymoving one matchstick. In a first group participants examined a static two-dimensional representation of the false algebraic expression and told the experimenter which matchstick should be moved. In a second group, participants interacted with a three-dimensional representation of the false equation. Success rates in the static group (...)
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  27. Christopher R. Bearman, Linden J. Ball & Thomas C. Ormerod (2007). The Structure and Function of Spontaneous Analogising in Domain-Based Problem Solving. Thinking and Reasoning 13 (3):273 – 294.score: 60.0
    Laboratory-based studies of problem solving suggest that transfer of solution principles from an analogue to a target arises only minimally without the presence of directive hints. Recently, however, real-world studies indicate that experts frequently and spontaneously use analogies in domain-based problem solving. There is also some evidence that in certain circumstances domain novices can draw analogies designed to illustrate arguments. It is less clear, however, whether domain novices can invoke analogies in the sophisticated manner of experts (...)
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  28. Kevin Kelly & Peter Spirtes, The Expected Complexity of Problem Solving.score: 60.0
    Worst case complexity analyses of algorithms are sometimes held to be less informative about the real difficulty of computation than are expected complexity analyses. We show that the two most common representations of problem solving in cognitive science each admit aigorithms that have constant expected complexity, and for one of these representations we obtain constant expected complexity bounds under a variety of probability measures.
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  29. Jacobus Ridderikhoff (1993). Problem-Solving in General Practice. Theoretical Medicine and Bioethics 14 (4).score: 60.0
    Objective: To identify problem solving strategies in general practice. Basic procedures: Three styles of scientific reasoning were defined and modelled on the medical environment. These models were tested in a simulated doctor-patient encounter.
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  30. Leonard Goodwin (1962). The Historical-Philosophical Basis for Uniting Social Science with Social Problem-Solving. Philosophy of Science 29 (4):377-392.score: 60.0
    Social scientific development has been greatly influenced by Galilean-Newtonian thought which emphasized formulation of abstract hypotheses valid throughout all time and space and independent of human characteristics. This influence has resulted in an artificial hiatus between social science and social problem-solving. Dissolution of certain Galilean-Newtonian assumptions has opened the way for integrating aspects of another stream of thought, the Hegelian-Marxian one, into the social scientific endeavor. Hegelian-Marxian thought emphasizes the individual becoming self-conscious of, and involved in, the social-historical (...)
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  31. Timothy J. Nokes-Malach, Michelle L. Meade & Daniel G. Morrow (2012). The Effect of Expertise on Collaborative Problem Solving. Thinking and Reasoning 18 (1):32 - 58.score: 60.0
    Why do some groups succeed where others fail? We hypothesise that collaborative success is achieved when the relationship between the dyad's prior expertise and the complexity of the task creates a situation that affords constructive and interactive processes between group members. We call this state the zone of proximal facilitation in which the dyad's prior knowledge and experience enables them to benefit from both knowledge-based problem-solving processes (e.g., elaboration, explanation, and error correction) andcollaborative skills (e.g., creating common ground, (...)
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  32. Linden J. Ball Jonathan St B. T. Evans Ian Dennis Thomas & C. Ormerod (1997). Problem-Solving Strategies and Expertise in Engineering Design. Thinking and Reasoning 3 (4):247 – 270.score: 60.0
    A study is reported which focused on the problem-solving strategies employed by expert electronics engineers pursuing a real-world task: integrated-circuit design. Verbal protocol data were analysed so as to reveal aspects of the organisation and sequencing of ongoing design activity. These analyses indicated that the designers were implementing a highly systematic solution-development strategy which deviated only a small degree from a normatively optimal top-down and breadth-first method. Although some of the observed deviation could be described as opportunistic in (...)
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  33. M. A. van Rees (2001). The Diagnostic Power of the Stages of Critical Discussion in the Analysis and Evaluation of Problem-Solving Discussions. Argumentation 15 (4):457-470.score: 60.0
    In this article, the pragma-dialectical model of a critical discussion is demonstrated to provide a useful instrument for discovering causes of an unsatisfactory development of problem-solving discussions. First a sketch is given of the development of a problem-solving discussion which, in the opinion of the participants themselves, developed in an unsatisfactory fashion. Then it is argued that this development can be traced back to flaws in the execution of the stages of a critical discussion.
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  34. Dongming Xu (forthcoming). Beyond Simon 's Means-Ends Analysis: Natural Creativity and the Unanswered 'Why' in the Design of Intelligent Systems for Problem-Solving. Minds and Machines.score: 60.0
    Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state (...)
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  35. Magda Osman, Positive Transfer and Negative Transfer/Anti-Learning of Problem Solving Skills.score: 60.0
    In problem solving research insights into the relationship between monitoring and control in the transfer of complex skills remain impoverished. To address this, in four experiments participants solved two complex control tasks that were identical in structure but varied in presentation format. Participants learnt either to solve the second task, based on their original learning phase from the first task, or learnt to solve the second task, based on another participant’s learning phase. Experiment 1 showed that, under conditions (...)
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  36. Deborah Vidaver-Cohen (1997). Moral Imagination in Organizational Problem-Solving. Business Ethics Quarterly 7 (4):1-26.score: 60.0
    This essay responds to Patricia Werhane’s 1994 Ruffin Lecture address, “Moral Imagination and the Search for Ethical Decision-making in Management,” using institutional theory as an analytical framework to explore conditions that either inhibit or promote moral imagination in organizational problem-solving. Implications of the analysis for managing organizational change and for business ethics theory development are proposed.
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  37. Lillian Hoddeson (2002). Toward a History-Based Model for Scientific Invention: Problem-Solving Practices in the Invention of the Transistor and the Development of the Theory of Superconductivity. Mind and Society 3 (1):67-79.score: 60.0
    This paper argues that historical research is an important tool for modeling problem-solving in scientific invention and discovery. Two important cases in the history of modern physics—the invention of the transistor by John Bardeen and Walter Brattain and the development of the theory of superconductivity by Bardeen, Leon Cooper, and J. Robert Schrieffer—reveal factors essential to include in such a model. The focus is on problem-solving practices: problem decomposition, analogy, bridging principles, team-work, empirical tinkering, and (...)
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  38. Olga Megalakaki, Charles Tijus, Romain Baiche & Sébastien Poitrenaud (2012). The Effect of Semantics on Problem Solving is to Reduce Relational Complexity. Thinking and Reasoning 18 (2):159 - 182.score: 60.0
    This article reports a study carried out in order to measure how semantic factors affect reductions in the difficulty of the Chinese Ring Puzzle (CRP) that involves removing five objects according to a recursive rule. We hypothesised that semantics would guide inferences about action decision making. The study involved a comparison of problem solving for two semantic isomorphic variants of the CRP ( fish and fleas ) with problem solving for the puzzle's classic variant (the Balls (...)
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  39. Daniel M. T. Fessler (2006). Contextual Features of Problem-Solving and Social Learning Give Rise to Spurious Associations, the Raw Materials for the Evolution of Rituals. Behavioral and Brain Sciences 29 (6):617-618.score: 60.0
    If rituals persist in part because of their memory-taxing attributes, from whence do they arise? I suggest that magical practices form the core of rituals, and that many such practices derive from learned pseudo-causal associations. Spurious associations are likely to be acquired during problem-solving under conditions of ambiguity and danger, and are often a consequence of imitative social learning. (Published Online February 8 2007).
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  40. Harold Thimbleby (1994). Designing User Interfaces for Problem Solving, with Application to Hypertext and Creative Writing. AI and Society 8 (1):29-44.score: 60.0
    Interactive computer systems can support their users in problem solving, both in Performing their work tasks and in using the systems themselves. Not only is direct support for heuristics beneficial, but to do so modifies the form of computer support provided. This Paper defines and explores the use of problem solving heuristics in user interface design.
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  41. David F. Wolf Ii (1998). How Many Spaces Does It Take to Get to the Center of a Theory of Human Problem Solving? Philosophy in the Contemporary World 5 (4):49-55.score: 60.0
    The diverse number of N-space theories and the unrestrained growth of the number of spaces within the multiple space models has incurred general skepticism about the new search space variants within the search space paradigm of psychology. I argue that any N-space theory is computationally equivalent to a single space model. Nevertheless, the N-space theories may explain the systematic behavior of human problem solving better than the original one search space theory by identifying relationships between the tasks that (...)
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  42. Trina C. Kershaw, Christopher K. Flynn & Leamarie T. Gordon (2012). Multiple Paths to Transfer and Constraint Relaxation in Insight Problem Solving. Thinking and Reasoning 19 (1):96 - 136.score: 60.0
    (2013). Multiple paths to transfer and constraint relaxation in insight problem solving. Thinking & Reasoning: Vol. 19, No. 1, pp. 96-136. doi: 10.1080/13546783.2012.742852.
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  43. Anthony Weston (2007). Creative Problem-Solving in Ethics. Oxford.score: 60.0
    This book offers a uniquely constructive set of tools for engaging complex and controversial ethical problems. Covering such practical methods as diversifying options, lateral thinking, reframing problems, approaching conflicts as creative opportunities, and many others, it shows how to find "room to move" inside even the most challenging ethical problems, and thereby discover new and productive ways to deal with them. The book features numerous exercises and applications that consider a wide range of familiar ethical issues--including the moral status of (...)
     
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  44. Aldo Zanga & Jean-Fran (2004). Implicit Learning in Rule Induction and Problem Solving. Thinking and Reasoning 10 (1):55 – 83.score: 60.0
    Using the Chinese Ring Puzzle (Kotovsky & Simon, 1990; P. J. Reber & Kotovsky, 1997), we studied the effect on rule discovery of having to plan actions or not in order to reach a goal state. This was done by asking participants to predict legal moves as in implicit learning tasks (Experiment 1) and by asking participants to make legal moves as in problem-solving tasks (Experiment 2). Our hypothesis was that having a specific goal state to reach (...)
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  45. Vincent di Norcia (2002). Diverse Knowledges and Competing Interests: An Essay on Socio-Technical Problem-Solving. Science and Engineering Ethics 8 (1).score: 57.0
    Solving complex socio-technical problems, this paper claims, involves diverse knowledges (cognitive diversity), competing interests (social diversity), and pragmatism. To explain this view, this paper first explores two different cases: Canadian pulp and paper mill pollution and siting nuclear reactors in seismically sensitive areas of California. Solving such socio-technically complex problems involves cognitive diversity as well as social diversity and pragmatism. Cognitive diversity requires one to not only recognize relevant knowledges but also to assess their validity. Finally, it is (...)
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  46. Dilip Patel & Shushma Patel (2003). The Cognitive Process of Problem Solving: A Soft Systems Approach. Brain and Mind 4 (2):283-295.score: 51.0
    In this paper we describe the nature and problems of business and define one aspect of the business environment. We then propose a framework based on augmented soft systems methodology and object technology that captures both the soft and hard aspects of a business environment within the context of organisational culture. We also briefly discuss cognitive informatics and its relevance to understanding problems and solutions. Pólya's work, which is based around solving mathematical problems, is considered within the context of (...)
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  47. Iordanis Kavathatzopoulos (1994). Training Professional Managers in Decision-Making About Real Life Business Ethics Problems: The Acquisition of the Autonomous Problem-Solving Skill. Journal of Business Ethics 13 (5):379 - 386.score: 51.0
    In the present study business managers in Kabi Pharmacia Company were trained in the use of the autonomous method in their decision-making about solving real life business ethics problems. According to the psychological theories of Piaget, Vygotsky, and Kohlberg, it is possible to promote the acquisition of the autonomous ethical skill by instruction and training. Indeed, participation in a one-day educational programme which focused on the training of the autonomous cognitive ability and not on the transfer of moral content, (...)
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  48. Ellen Urell (2006). Simulating Benevolence: Obstructing Systemic Problem Solving. World Futures 62 (7):524 – 532.score: 51.0
    Traditional methods of evaluating and solving world problems are insufficient to deal with today's issues, which are complex and interconnected, and therefore cannot be understood, or solved, in isolation. The author's study aimed to better understand behaviors that impact systemic problems in the capacity-building community. The resultant theory of simulating benevolence conceptualizes a collection of behaviors where change agents undertake activities that are not in the best interest of community members. Instead, activities satisfy the need for activity, involvement, and (...)
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  49. Nicholas Maxwell (2005). A Mug's Game? Solving the Problem of Induction with Metaphysical Presuppositions. In John Earman & John Norton (eds.), PhilSci Archive.score: 48.0
    A Mug's Game? Solving the Problem of Induction with Metaphysical Presuppositions Nicholas Maxwell Emeritus Reader in Philosophy of Science at University College London Email: nicholas.maxwell@ucl.ac.uk Website: www.nick-maxwell.demon.co.uk Abstract This paper argues that a view of science, expounded and defended elsewhere, solves the problem of induction. The view holds that we need to see science as accepting a hierarchy of metaphysical theses concerning the comprehensibility and knowability of the universe, these theses asserting less and less as we go (...)
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  50. Nicholas Everitt (1983). How Not to Solve a Problem for the Eliminative Materialist. Mind 92 (October):590-92.score: 48.0
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  51. Mariarosaria Taddeo & Luciano Floridi, Solving the Symbol Grounding Problem: A Critical Review of Fifteen Years of Research.score: 48.0
    This article reviews eight proposed strategies for solving the Symbol Grounding Problem (SGP), which was given its classic formulation in Harnad (1990). After a concise introduction, we provide an analysis of the requirement that must be satisfied by any hypothesis seeking to solve the SGP, the zero semantical commitment condition. We then use it to assess the eight strategies, which are organised into three main approaches: representationalism, semi-representationalism and non-representationalism. The conclusion is that all the strategies are semantically (...)
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  52. Jake Chandler (2007). Solving the Tacking Problem with Contrast Classes. British Journal for the Philosophy of Science 58 (3):489 - 502.score: 48.0
    The traditional Bayesian qualitative account of evidential support (TB) takes assertions of the form ‘E evidentially supports H’ to affirm the existence of a two-place relation of evidential support between E and H. The analysans given for this relation is C(H,E)=def Pr(H|E) > Pr(H). Now it is well known that when a hypothesisHentails evidence E, not only is it the case that C(H,E), but it is also the case that C(H&X,E) for any arbitrary X. There is a widespread feeling that (...)
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  53. Zoltan P. Majdik & William M. Keith (2011). Expertise as Argument: Authority, Democracy, and Problem-Solving. Argumentation 25 (3):371-384.score: 48.0
    This article addresses the problem of expertise in a democratic political system: the tension between the authority of expertise and the democratic values that guide political life. We argue that for certain problems, expertise needs to be understood as a dialogical process, and we conceptualize an understanding of expertise through and as argument that positions expertise as constituted by and a function of democratic values and practices, rather than in the possession of, acquisition of, or relationship to epistemic materials. (...)
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  54. Janet M. Dukerich, Mary J. Waller, Elizabeth George & George P. Huber (2000). Moral Intensity and Managerial Problem Solving. Journal of Business Ethics 24 (1):29 - 38.score: 48.0
    There is an increasing interest in how managers describe and respond to what they regard as moral versus nonmoral problems in organizations. In this study, forty managers described a moral problem and a nonmoral problem that they had encountered in their organization, each of which had been resolved. Analyses indicated that: (1) the two types of problems could be significantly differentiated using four of Jones' (1991) components of moral intensity; (2) the labels managers used to describe problems varied (...)
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  55. A. H. Martin (1932). Problem Solving by Men and Mammals. Australasian Journal of Philosophy 10 (4):243 – 258.score: 48.0
    There are two opposed theories which attempt to account for the processes of problem solution involved in learning and intelligence. The former is neural in its basis and postulates the existence of a bare connection as a bonding or linkage of two experiences. The second theory, that of gestalt, implies that learning or apprehension involves a relationship of the parts of the experience to each other as well as to the whole. While these psychological schools are exclusive of and (...)
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  56. Roger Chaffin Gabriela Imreh (1997). "Pulling Teeth and Torture" : Musical Memory and Problem Solving. Thinking and Reasoning 3 (4):315 – 336.score: 46.0
    A concert pianist the second author videotaped herself learning J.S. Bach's Italian Concerto Presto , and commented on the problems she encountered as she practised. Approximately two years later the pianist wrote out the first page of the score from memory. The pianist's verbal reports indicated that in the early sessions she identified and memorised the formal structure of the piece, and in the later sessions she practised using this organisation to retrieve the memory cues that controlled her playing. The (...)
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  57. E. Fioratou & K. J. Gilhooly (2011). Executive Functions in Insight Versus Non-Insight Problem Solving: An Individual Differences Approach. Thinking and Reasoning 15 (4):355-376.score: 46.0
    This study investigated the roles of the executive functions of inhibition and switching, and of verbal and visuo-spatial working memory capacities, in insight and non-insight tasks. A total of 18 insight tasks, 10 non-insight tasks, and measures of individual differences in working memory capacities, switching, and inhibition were administered to 120 participants. Performance on insight problems was not linked with executive functions of inhibition or switching but was linked positively to measures of verbal and visuo-spatial working memory capacities. Non-insight task (...)
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  58. Struan Jacobs (2001). Limits to Problem Solving in Science. International Studies in the Philosophy of Science 15 (3):231 – 242.score: 46.0
    Popper, Polanyi and Duncker represent the widely held position that theoretical and experimental scientific research are motivated by problems to which discoveries are solutions. According to the argument here, their views are unsupported and - in light of counter-instances, anomalous chance discoveries, and the force of curiosity - over-generalized.
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  59. Sharon R. Harvey (2009). Environmental Problem-Solving and Heidegger's Phenomenology. Environmental Philosophy 6 (2):59-71.score: 46.0
    The philosophical bases underlying methodological and decision-making processes for environmental issues are rarely questioned, and yet have important consequences. What commonly results is that first order solutions are technical ways of addressing problems which limit human relation to nature. Martin Heidegger’s phenomenology makes a distinction between “thatness” and “whatness.”“What a thing is” is depicted by modern science with “being as continual presence.” “That a thing is” refers to nature’s capacity for disclosure and withdrawal, that being is both “presence and absence.” (...)
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  60. Valeria Giardino (2010). Intuition and Visualization in Mathematical Problem Solving. Topoi 29 (1).score: 45.0
    In this article, I will discuss the relationship between mathematical intuition and mathematical visualization. I will argue that in order to investigate this relationship, it is necessary to consider mathematical activity as a complex phenomenon, which involves many different cognitive resources. I will focus on two kinds of danger in recurring to visualization and I will show that they are not a good reason to conclude that visualization is not reliable, if we consider its use in mathematical practice. Then, I (...)
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  61. Aristidis Arageorgis & Aristides Baltas (1989). Demarcating Technology From Science: Problems and Problem Solving in Technology. Journal for General Philosophy of Science 20 (2):212-229.score: 45.0
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  62. Michael Polanyi (1957). Problem Solving. British Journal for the Philosophy of Science 8 (30):89-103.score: 45.0
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  63. Gunnar Björnsson & Tristram McPherson (forthcoming). Moral Attitudes for Non-Cognitivists: Solving the Specification Problem. Mind.score: 45.0
    Moral non-cognitivists hope to explain the nature of moral agreement and disagreement as agreement and disagreement in non-cognitive attitudes. In doing so, they take on the task of identifying the relevant attitudes, distinguishing the non-cognitive attitudes corresponding to judgments of moral wrongness, for example from attitudes involved in aesthetic disapproval or the sports fan’s disapproval of her team’s performance. We begin this paper by showing that there is a simple recipe for generating apparent counterexamples to any informative specification of the (...)
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  64. David W. Ecker (1963). The Artistic Process as Qualitative Problem Solving. Journal of Aesthetics and Art Criticism 21 (3):283-290.score: 45.0
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  65. Andrew Lugg (1979). Review Symposium : Laudan and the Problem-Solving Approach to Scientific Progress and Rationality. Philosophy of the Social Sciences 9 (4):466-474.score: 45.0
  66. Michael L. Schwalbe (1990). Toward a Sociology of Moral Problem Solving. Journal for the Theory of Social Behaviour 20 (2):131–155.score: 45.0
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  67. John C. Harsanyi (1977). The Problem Solving Ability of the Rule Utilitarian Approach Should Not Be Underestimated: Comments on Scanlon's Paper. Erkenntnis 11 (1):435 - 438.score: 45.0
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  68. Herbert A. Simon, Patrick W. Langley & Gary L. Bradshaw (1981). Scientific Discovery as Problem Solving. Synthese 47 (1):3 – 14.score: 45.0
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  69. Mary Hesse (1992). Comment on Herbert Simon , “Scientific Discovery as Problem Solving”. International Studies in the Philosophy of Science 6 (1):33 – 34.score: 45.0
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  70. John Kekes (1977). Rationality and Problem- Solving. Philosophy of the Social Sciences 7 (4):351-366.score: 45.0
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  71. Paul Horwich (1992). Bayesian Problem-Solving and the Dispensibility of Truth. Philosophical Issues 2:205-214.score: 45.0
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  72. John Kekes (1979). The Centrality of Problem-Solving. Inquiry 22 (1-4):405 – 421.score: 45.0
    The aim of this paper is to provide the beginnings of a theory of justification. This theory is an alternative to the two currently available and unsatisfactory options: foundationalism and coherentism. Both of these theories, as well as the decisive sceptical objections to them, are committed to the assumption that there is only one context of justification and only one standard of justification. This assumption is mistaken. There are two contexts of justification, each with a standard peculiar to it. The (...)
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  73. Min Basadur & Garry Gelade (2003). Using the Creative Problem Solving Profile (CPSP) for Diagnosing and Solving Real-World Problems. Emergence 5 (3):22-47.score: 45.0
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  74. Gayne Nerney (1979). The Gestalt of Problem-Solving: An Interpretation of Max Wertheimer's Productive Thinking. Journal of Phenomenological Psychology 10 (1):56-80.score: 45.0
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  75. J. Sticklen (1989). Problem-Solving Architectures at the Knowledge Level. Journal of Experimental and Theoretical Artificial Intelligence 1:233-247.score: 45.0
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  76. Andy Clark, Connectionism, Moral Cognition, and Collaborative Problem Solving.score: 45.0
    How should linguistically formulated moral principles figure in an account of our moral understanding and practice?
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  77. Donald A. Gillies (1992). Comments on 'Scientific Discovery as Problem Solving' by Herbert A. Simon. International Studies in the Philosophy of Science 6 (1):29 – 31.score: 45.0
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  78. John Hasnas (2012). Reflections on Corporate Moral Responsibility and the Problem Solving Technique of Alexander the Great. Journal of Business Ethics 107 (2):183-195.score: 45.0
    The academic debate over the propriety of attributing moral responsibility to corporations is decades old and ongoing. The conventional approach to this debate is to identify the sufficient conditions for moral agency and then attempt to determine whether corporations possess them. This article recommends abandoning the conventional approach in favor of an examination of the practical consequences of corporate moral responsibility. The article’s thesis is that such an examination reveals that attributing moral responsibility to corporations is ethically acceptable only if (...)
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  79. H. H. Spitz (1993). The Role of the Unconscious in Thinking and Problem Solving. Educational Psychology 13:229-244.score: 45.0
  80. William H. Panning (1981). Book Review:Usable Knowledge: Social Science and Social Problem Solving Charles E. Lindblom, David K. Cohen. [REVIEW] Ethics 92 (1):162-.score: 45.0
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  81. Peter C. R. Lane, Peter C.-H. Cheng & Fernand Gobet (2001). The CHREST Model of Active Perception and its Role in Problem Solving. Behavioral and Brain Sciences 24 (5):892-893.score: 45.0
    We discuss the relation of the Theory of Event Coding (TEC) to a computational model of expert perception, CHREST, based on the chunking theory. TEC's status as a verbal theory leaves several questions unanswerable, such as the precise nature of internal representations used, or the degree of learning required to obtain a particular level of competence: CHREST may help answer such questions.
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  82. F. Michael Akeroyd (1993). Laudan's Problem Solving Model. British Journal for the Philosophy of Science 44 (4):785-788.score: 45.0
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  83. W. H. Newton-Smith (1992). “Scientific Discovery as Problem Solving” by H. A. Simon. International Studies in the Philosophy of Science 6 (1):49 – 52.score: 45.0
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  84. Joan E. E. Sieber (2005). Evidence-Based Ethical Problem Solving: An Idea Whose Time has Come. Journal of Academic Ethics 3 (2-4).score: 45.0
    This is an account of the evolution of ideas and the confluence of support and vision that has eventuated in the founding of the Journal of Empirical Research on Human Research Ethics (JERHRE). Many factors have contributed to the creation of this rather atypical academic journal, including a scientific and administrative culture that finally saw the need for it, modern electronic technology, individuals across the world who were committed to somehow finding common ground between researchers and those charged with ethical (...)
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  85. Herbert A. Simon (1992). Scientific Discovery as Problem Solving: Reply to Critics. International Studies in the Philosophy of Science 6 (1):69 – 88.score: 45.0
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  86. Sheldene K. Simola (forthcoming). Use of a “Coping-Modeling, Problem-Solving” Program in Business Ethics Education. Journal of Business Ethics.score: 45.0
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  87. William J. Slater (1982). Aristophanes Of Byzantium And Problem-Solving In The Museum. The Classical Quarterly 32 (02):336-.score: 45.0
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  88. J. Gregory Dees (2012). A Tale of Two Cultures: Charity, Problem Solving, and the Future of Social Entrepreneurship. Journal of Business Ethics 111 (3):321-334.score: 45.0
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  89. Bruce W. Hauptli (1984). Kekes on Problem-Solving and Rationality. Philosophy of the Social Sciences 14 (2):191-194.score: 45.0
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  90. Robert Kowalski & Marek Sergot (1990). The Use of Logical Models in Legal Problem Solving. Ratio Juris 3 (2):201-218.score: 45.0
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  91. Douglas D. Noble (1992). Why Problem Solving and Critical Thinking? Inquiry 9 (1):7-11.score: 45.0
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  92. Harvey Siegel (1983). Truth, Problem Solving and the Rationality of Science. Studies in History and Philosophy of Science Part A 14 (2):89-112.score: 45.0
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  93. Georg Theiner, Colin Allen & Robert L. Goldstone (2010). Recognizing Group Cognition. Cognitive Systems Research 11 (4):378-395.score: 45.0
    In this paper, we approach the idea of group cognition from the perspective of the “extended mind” thesis, as a special case of the more general claim that systems larger than the individual human, but containing that human, are capable of cognition (Clark, 2008; Clark & Chalmers, 1998). Instead of deliberating about “the mark of the cognitive” (Adams & Aizawa, 2008), our discussion of group cognition is tied to particular cognitive capacities. We review recent studies of group problem-solving (...)
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  94. Ming Ming Chiu (2000). Group Problem-Solving Processes: Social Interactions Andindividual Actions. Journal for the Theory of Social Behaviour 30 (1):26–49.score: 45.0
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  95. Zeljko Loparić (1984). Problem-Solving and Theory Structure in Mach. Studies in History and Philosophy of Science Part A 15 (1):23-49.score: 45.0
  96. Arne Friemuth Petersen (1984). The Role of Problems and Problem Solving in Popper's Early Work on Psychology. Philosophy of the Social Sciences 14 (2):239-250.score: 45.0
  97. Husain Sarkar (1981). Truth, Problem-Solving and Methodology. Studies in History and Philosophy of Science Part A 12 (1):61-73.score: 45.0
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  98. Giuseppe Trautteur (1992). Problems with Symbols. A Commentary to Herbert Simon , “Scientific Discovery as Problem Solving”. International Studies in the Philosophy of Science 6 (1):61 – 64.score: 45.0
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