Complex problem solving: a case for complex cognition?

Funke, Joachim

doi:10.1007/s10339-009-0345-0

Cited by 269 publications

(234 citation statements)

References 31 publications

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“…407-411) for action? My tentative answer comes from experiments in which researchers present subjects with problems by using multistep tasks of reasonable complexity (Funke, 2010). Figure 6.4 illustrates the MicroDyn approach, which was implemented for the 2012 cycle of the OECD's worldwide Programme for International Student Assessment (PISA) .…”

Section: Evidence From Problem-solving Researchmentioning

confidence: 99%

How Much Knowledge Is Necessary for Action?

Funke

2017

Knowledge and Space

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How much knowledge is necessary for action? This question is fundamental because it suggests that the link between knowledge and action is debatable, that there is no given, fixed causal relationship between knowledge and action. In addition, there seems to be no fixed causal direction. Knowledge can be a prerequisite for action but also a consequence of an action. My opening question relates two key words in psychology. One of them is knowledge, about which a large body of knowledge exists (e.g., Halford, Wilson, & Phillips, 2010)-about its different types (e.g., procedural, declarative), styles of acquisition (implicit, explicit), and degrees of accessibility (conscious, subconscious, unconscious). The other word is action, about which there are various theories describing human behavior with respect to intention (e.g., Fishbein & Ajzen, 2010). In this introductory section I try to give an overview of these conceptions and of the relation between knowledge and action.The issues around the keywords knowledge and action-which constitute the title of a book by Frey, Mandl, and von Rosenstiel (2006)-are captured by the following four main aspects, which generate corresponding questions.1. The relation between knowledge and action. From the perspective of the psychology of knowledge (e.g., Strube & Wender, 1993), knowledge is a competence for action, a precondition. What is known about the relation between knowledge and action and what is not known? How much of human action is governed by routines, experience, intuition, and knowledge? What is the tradeoff between taking action and improving knowledge? 2. Types of knowledge and different phases. To what extent do various types of knowledge (e.g., implicit or explicit) influence the steps from cognition to action (e.g., aspirations, attention, decision-making, problem-solving, the evaluation of situations, the search for alternatives, and the implementation of intentions)?

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Section: Evidence From Problem-solving Researchmentioning

confidence: 99%

How Much Knowledge Is Necessary for Action?

Funke

2017

Knowledge and Space

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“…Complex problem solving is defined within the psychology literature as the process of reaching a goal state by applying multiple problem solving skills, when the desired goal state cannot simply be reached by applying one from a set of existing solution patterns (Greiff et al, 2013;Mayer et al, 2006;Funke, 2010). Dialogue surrounding complex problem solving is therefore grounded within a problem-solving artifact that could have infinitely many surface forms.…”

Section: Corpus Of Complex Problem Solving Dialoguementioning

confidence: 99%

Semantic Grounding in Dialogue for Complex Problem Solving

Boyer

2015

Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Langua

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Dialogue systems that support users in complex problem solving must interpret user utterances within the context of a dynamically changing, user-created problem solving artifact. This paper presents a novel approach to semantic grounding of noun phrases within tutorial dialogue for computer programming. Our approach performs joint segmentation and labeling of the noun phrases to link them to attributes of entities within the problem-solving environment. Evaluation results on a corpus of tutorial dialogue for Java programming demonstrate that a Conditional Random Field model performs well, achieving an accuracy of 89.3% for linking semantic segments to the correct entity attributes. This work is a step toward enabling dialogue systems to support users in increasingly complex problem-solving tasks.

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“…A complex problem is said to occur when the following characteristics of it complicate the finding of a solution due to an enhanced level of uncertainty [4,5]: (a) the number of elements relevant to the solution process is large (complexity) as well as highly interconnected (connectivity), and (b) the system is dynamically changing over time (dynamics). In addition, (c) neither the decision structure nor its dynamics are fully disclosed to the actor (intransparency).…”

Section: Why Finding a Solution To Climate Change Means Solving A Commentioning

confidence: 99%

Dealing with the uncertainties of climate engineering: Warnings from a psychological complex problem solving perspective

Amelung¹,

Funke²

2013

Technology in Society

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a b s t r a c tDecision-makers in the context of climate politics are confronted with considerable uncertainties due to the complexities inherent in the relevant natural and social systems. Nonetheless, pressure on decision-makers to find solutions to dangerous climate change is rising due to the inertia in the climate system. Considering these pressures, technological options (climate engineering) have been proposed to counteract the effects of climatic change. However, introducing options that bear their own scientific uncertainties means further adding to the complexity of the situation. By adopting the psychological perspective of complex problem solving research, we analyze one frequently neglected source of uncertainty with regard to climate engineering: errors of the political problemsolver in his interaction with the situational demands of complex problems. More specifically, we examine the psychological sources for human error that are common in dealing with the uncertainties implied in this type of problem. We will conclude from the complex problem solving perspective that a consideration of climate engineering in the context of climate change can provide a dangerous illusion of controllability.

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Complex problem solving: a case for complex cognition?

Abstract: Word Count (without references): 5.463 Revised version 15.10.09

Cited by 269 publications

References 31 publications

How Much Knowledge Is Necessary for Action?

How Much Knowledge Is Necessary for Action?

Semantic Grounding in Dialogue for Complex Problem Solving

Dealing with the uncertainties of climate engineering: Warnings from a psychological complex problem solving perspective

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