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Joachim Funke
Universität Heidelberg
  1.  63
    Analysis of Minimal Complex Systems and Complex Problem Solving Require Different Forms of Causal Cognition.Joachim Funke - 2014 - Frontiers in Psychology 5.
    In the last 20 years, a stream of research emerged under the label of „complex problem solving“ (CPS). This research was intended to describe the way people deal with complex, dynamic, and intransparent situations. Complex computer-simulated scenarios were as stimulus material in psychological experiments. This line of research lead to subtle insights into the way how people deal with complexity and uncertainty. Besides these knowledge-rich, realistic, intransparent, complex, dynamic scenarios with many variables, a second line of research used more simple, (...)
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  2. Dynamic Systems as Tools for Analysing Human Judgement.Joachim Funke - 2001 - Thinking and Reasoning 7 (1):69 – 89.
    With the advent of computers in the experimental labs, dynamic systems have become a new tool for research on problem solving and decision making. A short review of this research is given and the main features of these systems (connectivity and dynamics) are illustrated. To allow systematic approaches to the influential variables in this area, two formal frameworks (linear structural equations and finite state automata) are presented. Besides the formal background, the article sets out how the task demands of system (...)
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  3.  12
    How We Conceptualize Climate Change: Revealing the Force-Dynamic Structure Underlying Stock-Flow Reasoning.Kurt Stocker & Joachim Funke - 2019 - Journal of Dynamic Decision Making 5 (1):1-1.
    How people understand the fundamental dynamics of stock and flow is an important basic theoretical question with many practical applications. In this paper, we present a universal frame for understanding stock-flow reasoning in terms of the theory of force dynamics. This deep-level analysis is then applied to two different presentation formats of SF tasks in the context of climate change. We can explain why in a coordinate-graphic presentation misunderstandings occur, whereas in a verbal presentation a better understanding is found. We (...)
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  4. Mirror Neuron Activity is No Proof for Action Understanding.Alina Steinhorst & Joachim Funke - 2014 - Frontiers in Human Neuroscience 8:1-4.
    We focus on the thesis that action understanding is a function of the mirror neuron system. According to our opinion, understanding is a process that runs through hermeneutic circles from the “Vorverständnis” (“previous understanding”) to steps of deeper understanding. Our critique relates to the narrow neuroscientific definition of action understanding as the capacity to recognize several movements as belonging to one action. After a reconstruction of the model's developments, we will challenge the claims of the model by Rizzolatti and Sinigaglia (...)
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  5.  58
    The Role of Emotions in Complex Problem-Solving.Miriam Spering, Daniel Wagener & Joachim Funke - 2005 - Cognition and Emotion 19:1252-1261.
    The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: Participants with negative emotions are more (...)
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  6.  19
    Editorial: Complex Problem Solving Beyond the Psychometric Approach.Wolfgang Schoppek, Annette Kluge, Magda Osman & Joachim Funke - 2018 - Frontiers in Psychology 9.
    Complex problem solving (CPS) and related topics such as dynamic decision-making (DDM) and complex dynamic control (CDC) represent multifaceted psychological phenomena. In a broad sense, CPS encompasses learning, decision-making, and acting in complex and dynamic situations. Moreover, solutions to problems that people face in such situations are often generated in teams or groups. In turn, this adds another layer of complexity to the situation itself because of the emerging issues that arise from the social dynamics of group interactions. This framing (...)
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  7.  7
    The Role of Emotions in Complex Problem Solving.Miriam Spering, Dietrich Wagener & Joachim Funke - 2005 - Cognition and Emotion 19 (8):1252-1261.
    The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: Participants with negative emotions are more (...)
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  8.  51
    Wissenserwerb über dynamische Systeme: Befunde Konnektionistischer Modellierung.Anette Standfuss, Knut Möller & Joachim Funke - 1990 - In G. Dorffner (ed.), Konnektionismus in Artificial Intelligence Und Kognitionsforschung. Springer Verlag. pp. 103--111.
    Die vorliegende Arbeit untersucht Möglichkeiten und Grenzen der Verwendung von einfachen konnektionistischen Systemen als Modelle für den Erwerb und die Repräsentation von Wissen über zeitdiskrete lineare dynamische Systeme in der Kognitionspsychologie. Ein ausgewähltes dynamisches System namens SINUS wird in Form eines „pattern associators“ repräsentiert und dessen Lernverhalten untersucht. Es wird versucht, daraus Annahmen über den Wissenserwerb von Probanden im Umgang mit solchen dynamischen Systemen abzuleiten, um insbesondere Hinweise darauf zu erhalten, was „gute“ von „schlechten“ Probanden unterscheidet. Ein weiterer hier betrachteter (...)
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  9.  15
    Can Motto-Goals Outperform Learning and Performance Goals? Influence of Goal Setting on Performance and Affect in a Complex Problem Solving Task.Miriam Sophia Rohe, Joachim Funke, Maja Storch & Julia Weber - 2016 - Journal of Dynamic Decision Making 2 (1):1-15.
    In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties. Goal Setting Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do-your-best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so-called motto-goals should activate a person’s resources through positive affect. It was (...)
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