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 occur in problem solving. These tasks are independent of the particular process and may not be explicitly represented by the problem solver. N-space theorists seem to overlook their own reason for distinguishing N-space theories from single space models, namely the presupposition that these tasks must have a unified, underlying search space architecture. This assumption is ill-founded and may implement a procedural restraint that could impede psychological research. (shrink)

This paper argues that humans possess unique cognitive abilities due to the presence of a functional system that exists in the human brain that is absent in the non-human brain. This system, the frontal feedback system, was born in the hominin brain when the great phylogenetic expansion of the prefrontal cortex relative to posterior sensory regions surpassed a critical threshold. Surpassing that threshold effectively reversed the preferred direction of information flow in the highest association regions of the neocortex, (...) producing the frontal feedback system. This reversal was from the caudo-rostral bias characteristic of non-human, or pre-human, brain dynamics to a rostro-caudal bias characteristic of modern human brain dynamics. The frontal feedback system works through frontal motor routines, or action schemes, manipulating the release and reconstruction of stored sensory memories in posterior sensory areas. As an obligatory feature of frontal feedback, a central character, or self, emerges within this cortical network that manifests itself as agent in these reconstructions as well as in the experience of sensory perceptions. Dynamical-systems modeling of cortical interactions is combined in the paper with recent neuroimaging studies of “resting-state” brain activity to bridge the gap between microscopic and macroscopic levels of cortical behavior. This synthesis is used to support the proposal of an information flow reversal occurring in the hominin brain and also to explain how such a reversal generates the wide variety of cognitive and experiential phenomena that many consider to be uniquely human. (shrink)

Recent research on human problem solving has largely focused on laboratory tasks that do not demand from the subject much prior, task‐related information. This study seeks to extend the theory of human problem solving to semantically richer domains that are characteristic of professional problem solving. We discuss the behavior of a single subject solving problems in chemical engineering thermodynamics. We use as a protocol‐encoding device a computer program called SAPA which also (...) doubles as a theory of the subject's problem‐solving behavior. The subject made extensive use of means‐ends analysis, similar to that observed in semantically less rich domains, supplemented by recognition mechanisms for accessing information in semantic memory. (shrink)

Human psychology contains adaptations to deploy aggression as one solution to many distinct adaptive problems. These include expropriating resources, defending against incursions, establishing encroachment-deterring reputations, inflicting costs on rivals, ascending dominance hierarchies, dissuading partner defection, eliminating fitness-draining offspring, and obtaining new mates. Aggression is not a singular strategy. Comprehensive theories must identify the of multiple adaptations for aggression.

1. False information takes many shapes. While misinformation has long been a feature of conveying the human experience to others, the rise of the internet and social media has created conditions in...

Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has steadily grown over time. Researchers in Artificial Intelligence have been formulating theories of problem (...) class='Hi'>solving for the last 70 years. Psychologists, on the other hand, have focused their efforts on documenting the observed behavior of subjects solving problems. This book represents the first effort to merge the behavioral results of human subjects with formal models of the causative cognitive mechanisms. The first coursebook to deal exclusively with the topic, it provides a main text for elective courses and a supplementary text for courses such as cognitive psychology and neuroscience. (shrink)

In the context of office work, learning to handle an Enterprise Resource Planning system is important as implementation costs for such systems and associated expectations are high. However, these expectations are often not met because the users are not trained adequately. Electronic Performance Support Systems are designed to support employees’ ERP-related problem-solving and informal learning. EPSS are supposed to enhance employees’ performance and informal workplace learning through task-specific and granular help in task performance and problem-solving. However, (...) there is little empirical research on EPSS. Two survey studies addressed this research gap. In the first study, 301 people working in Human Resource -related positions and functions evaluated the learning potential of EPSS as well as potential advantages and obstacles concerning the implementation and use of EPSS. Though other measures are currently assessed as more important for learning, HR employees expect a strong increase in the significance of EPSS for employee learning. In the second study, 652 users of ERP software completed a questionnaire on characteristics of their daily work tasks, team characteristics, individual dispositions, their coping with ERP-related problems, and characteristics of EPSS. Findings indicate that the most frequently available and used approach when dealing with an ERP-related problem is consulting colleagues. Three EPSS types can be distinguished by their increasing integration into the user interface and their context-sensitivity. While external and extrinsic EPSS are available to many users, intrinsic EPSS are less common but are used intensively if available. EPSS availability is identified to be a strong positive predictor of frequency of EPSS use, while agreeableness as well as the task complexity and information-processing requirements show small negative effects. Moreover, more intensive ERP users use EPSS more frequently. In general, ERP users value, features such as context-sensitivity, an integration of the EPSS into the ERP system’s user interface, the option to save one’s own notes, and information displayed in an extra window. It is expected that EPSS will play an important role in workplace learning in the future, along with other measures. (shrink)

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 (...) opposed to each other, yet they are merely extremes of what actually exists. There is a minimum level of learning in which associationism is operative and a maximum intellectual level at which explicit relationships predominate. An examination of experimental results will show this to be the case. The results of conditioned reflex experiments in both animals and man appear to show that there is present nothing beyond arbitrary linkage or bonding between the parts of the situation involved. On the other hand, one finds a certain degree of implicit meaning involved in perceptual situations—the level of animal achievement—as well as a certain measure of transfer of meaning. Explicit meanings may be related by means of word symbols involving the principle of the concept through the medium of speech, and this is only arrived at by human beings. We may regard these higher levels as “emergents” from the level of bonding or linkage. (shrink)

The paper provides an interpretation of Aristotle’s view on scientific inquiry as problem solving. It tackles passages where Aristotle emphasises the role that the problem-solving activity has in science, and where he describes the history of humans’ problem-solving activity and the historical development of natural science as a problem-solving activity. Further, the paper examines Aristotle’s practice of raising, assessing and solving problems as well as the heuristic procedures he employs to move (...) from ignorance to scientific knowledge. Finally, it raises a question about Aristotle’s view on the epistemic status of scientific definitions: does Aristotle conceive of the definitions, which are the results of scientific inquiries, as truths or rather as plausible hypotheses that may or may not be true? (shrink)

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 (...) explicit processes in most tasks, (c) the redundant representation of explicit and implicit knowledge, (d) the integration of the results of explicit and implicit processing, and (e) the iterative (and possibly bidirectional) processing. A computational implementation of the theory is developed based on the CLARION cognitive architecture and applied to the simulation of relevant human data. This work represents an initial step in the development of process-based theories of creativity encompassing incubation, insight, and various other related.. (shrink)

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 electromagnetism. (shrink)

Creativity is commonly seen as beyond the scope of rationality. In the present paper, it is argued that available insights in epistemology and available results in logic enable us to incorporate creativity within an independently sensible view on human rationality.

As one of the important 21st-century skills, collaborative problem solving (CPS) has caught much attention in the assessment area. Two initiative approaches have been created: the human-to-human and human-to-agent modes. Between the two modes, the human-to-human interaction is much closer to the real-world situation and its process stream data can reveal more detailed information about the cognitive processes. In order to measure CPS ability effectively by this mode, how to extract indicators from the (...) data and model it is crucial, while the existing methods all have some disadvantages. In the present study, we proposed a new paradigm for extracting indicators and modeling the dyad data in the human-to-human mode. Specifically, both individual and group indicators were extracted from the data stream, which served as evidence for demonstrating CPS skills. In addition, a within-item multidimensional Rasch model was used to fit the dyad data. To test the validity of the paradigm, we developed five tasks following the asymmetric mechanism and integrated them into an online testing platform. Four hundred thirty-four students from China participated in the assessment and the online platform recorded their crucial actions with time stamps. The new paradigm was used to deal with the generated process stream data. Results showed that the model fitted well. The item parameter estimates and fitting indexes were acceptable, and students were well differentiated. In general, the new paradigm of extracting indicators and modeling the dyad data is feasible for improving the human-to-human assessment of CPS. Finally, the limitations of the current study and further research directions are discussed. (shrink)

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.” This essay evaluates thepragmatic prospects of heightening an approach on the “thatness” of nature. (shrink)

Marr’s seminal distinction between computational, algorithmic, and implementational levels of analysis has inspired research in cognitive science for more than 30 years. According to a widely-used paradigm, the modelling of cognitive processes should mainly operate on the computational level and be targeted at the idealised competence, rather than the actual performance of cognisers in a specific domain. In this paper, we explore how this paradigm can be adopted and revised to understand mathematical problem solving. The computational-level approach applies (...) methods from computational complexity theory and focuses on optimal strategies for completing cognitive tasks. However, human cognitive capacities in mathematical problem solving are essentially characterised by processes that are computationally sub-optimal, because they initially add to the computational complexity of the solutions. Yet, these solutions can be optimal for human cognisers given the acquisition and enactment of mathematical practices. Here we present diagrams and the spatial manipulation of symbols as two examples of problem solving strategies that can be computationally sub-optimal but humanly optimal. These aspects need to be taken into account when analysing competence in mathematical problem solving. Empirically informed considerations on enculturation can help identify, explore, and model the cognitive processes involved in problem solving tasks. The enculturation account of mathematical problem solving strongly suggests that computational-level analyses need to be complemented by considerations on the algorithmic and implementational levels. The emerging research strategy can help develop algorithms that model what we call enculturated cognitive optimality in an empirically plausible and ecologically valid way. (shrink)

Humans have long been characterized as poor probabilistic reasoners when presented with explicit numerical information. Bayesian word problems provide a well-known example of this, where even highly educated and cognitively skilled individuals fail to adhere to mathematical norms. It is widely agreed that natural frequencies can facilitate Bayesian reasoning relative to normalized formats (e.g. probabilities, percentages), both by clarifying logical set-subset relations and by simplifying numerical calculations. Nevertheless, between-study performance on “transparent” Bayesian problems varies widely, and generally remains rather unimpressive. (...) We suggest there has been an over-focus on this representational facilitator (i.e. transparent problem structures) at the expense of the specific logical and numerical processing requirements and the corresponding individual abilities and skills necessary for providing Bayesian-like output given specific verbal and numerical input. We further suggest that understanding this task-individual pair could benefit from considerations from the literature on mathematical cognition, which emphasizes text comprehension and problem solving, along with contributions of online executive working memory, metacognitive regulation, and relevant stored knowledge and skills. We conclude by offering avenues for future research aimed at identifying the stages in problem solving at which correct versus incorrect reasoners depart, and how individual difference might influence this time point. (shrink)

It has been argued in relation to Old Babylonian mathematical procedure texts that their validity or correctness is self-evident. One “sees” that the procedure is correct without it having, or being accompanied by, any explicit arguments for the correctness of the procedure. Even when agreeing with this view, one might still ask about how is the correctness of a procedure articulated? In this work, we present an articulation of the correctness of ancient Egyptian and Old Babylonian mathematical procedure texts – (...) mathematical texts presenting the solution of problems. We endeavor to make explicit and explain how and why the procedures are reliable over and above the fact that their correctness is intuitive. (shrink)

본 연구는 한국의 청소년 자살 문제의 심각성을 인지하고, 해소하기 위한 방안을 고찰하는데 목적이 있다. 자살은 삶의 ‘위기’로 파악된다. 우리는 인간 삶의 위기를 해소하기 위한 방안을 인문학적 방법, 특히 현상학에서 찾는다. 우리가 한국 사회의 청소년 자살을 문제로 삼는 것은 청소년기의 삶이 미래에 미칠 수 있는 영향력 때문이다. 청소년들은 성장과정에서 신체의 변화와 정체성의 혼란을 경험하고 불확실한 미래로 인해 심리적으로 불안정한 상태에 빠진다. 이러한 상태를 심리적이고 생리학적인 측면에서의 병적 상황으로 받아들이는 것은 자살 문제를 해결하는 데 아무런 도움이 되지 않는다. 현상학은 모든 문제 상황은 (...) 구체적 삶 속에서 드러난다는 것을 보여준다. 그런 까닭에 현상학적 방법은 공교육 내에서의 인문학적 교육의 새로운 가능성이기도 하다. (shrink)

A problem is a situation in which an agent seeks to attain a given goal without knowing how to achieve it. Human problem solving is typically studied as a search in a problem space composed of states (information about the environment) and operators (to move between states). A problem such as playing a game of chess has possible states, and a traveling salesperson problem with as little as 82 cities already has more than (...) different tours (similar to chess). Biological neurons are slower than the digital switches in computers. An exhaustive search of the problem space exceeds the capacity of current computers for most interesting problems, and it is fairly clear that humans cannot in their lifetime exhaustively search even small fractions of these problem spaces. Yet, humans play chess and solve logistical problems of similar complexity on a daily basis. Even for simple problems humans do not typically engage in exploring even a small fraction of the problem space. This begs the question: How do humans solve problems on a daily basis in a fast and efficient way? Recent work suggests that humans build a problem representation and solve the represented problem—not the problem that is out there. The problem representation that is built and the process used to solve it are constrained by limits of cognitive capacity and a cost–benefit analysis discounting effort and reward. In this article, we argue that better understanding the way humans represent and solve problems using heuristics can help inform how simpler algorithms and representations can be used in artificial intelligence to lower computational complexity, reduce computation time, and facilitate real-time computation in complex problem solving. (shrink)

Following Marr’s famous three-level distinction between explanations in cognitive science, it is often accepted that focus on modeling cognitive tasks should be on the computational level rather than the algorithmic level. When it comes to mathematical problem solving, this approach suggests that the complexity of the task of solving a problem can be characterized by the computational complexity of that problem. In this paper, I argue that human cognizers use heuristic and didactic tools and (...) thus engage in cognitive processes that make their problem solving algorithms computationally suboptimal, in contrast with the optimal algorithms studied in the computational approach. Therefore, in order to accurately model the human cognitive tasks involved in mathematical problem solving, we need to expand our methodology to also include aspects relevant to the algorithmic level. This allows us to study algorithms that are cognitively optimal for human problem solvers. Since problem solving methods are not universal, I propose that they should be studied in the framework of enculturation, which can explain the expected cultural variance in the humanly optimal algorithms. While mathematical problem solving is used as the case study, the considerations in this paper concern modeling of cognitive tasks in general. (shrink)

Humans exhibit the remarkable ability to solve complex, multi-step problems despite their limited capacity for search. We review the standard theory of problem solving, which posits that heuristic guidance makes this possible, but we also note that most studies have emphasized the role of domain-specific heuristics, which are not available for unfamiliar tasks, over more general ones. We describe FPS, a flexible architecture for problem solving that supports a variety of different strategies and heuristics, and we (...) report its use in an experiment that studies the effectiveness of two domain-independent criteria. The results suggest that such heuristics can make problem solving far more tractable, and they are generally consistent with our claim that their use offsets the drawbacks of bounded rationality. (shrink)

We present the results of research carried out as a part of the project “Current Controversies about Human Origins: Between Anthropology and the Bible”, which focused on the supposed conflict between natural sciences and some branches of the humanities, notably philosophy and theology, with regard to human origins. One way to tackle the issue was to distribute a questionnaire among students and teachers of the relevant disciplines. Teachers of religion and the natural sciences (biology, chemistry, and physics) and (...) students of theology, philosophy, and the natural sciences (specializing in biology and/or anthropology) were asked to answer eleven questions concerning the perception of the conflict between evolutionism and creationism, the definitions of creation and evolution, the existence of a human spiritual element, and the ways of interpreting the Bible, especially the first chapters of the book of Genesis. In the paper we present and analyze selected results of this questionnaire. Among interesting findings there are the following: 1) the opinion concerning the relationship between evolutionism and creationism largely depends on the respondent’s general attitude toward religion, and not on their field of study or teaching expertise, which runs contrary to the received view attributing the opinion of the conflict between science and religion to people’s educational or professional background; 2) The conflict is far more pronounced in the group of nonbelievers. This distinguishes Poland from other countries, notably the United States, where the majority of people with strong religious beliefs seem to maintain that there is a conflict between the natural sciences and religion; 3) literal understanding of the Bible was rejected by vast majority of the respondents, including those who insist on the ‘conflict view’, which seems to make the situation in Poland again quite different from that in some other countries; 4) Unsophisticated understanding of creation positively correlates with the ‘conflicting view’ on the one hand, while, on the other, erroneous understanding of the basics of the theory of evolution appears to have its bearing on too optimistic vision of certain coherence between religion and science. We suggest some hypotheses to explain these and other results of the questionnaire. (shrink)

In order to solve problems, humans are able to synthesize apparently unrelated concepts, take advantage of serendipitous opportunities, hypothesize, invent, and engage in other similarly abstract and creative activities, primarily through the use of their visual systems. In _Scenario Visualization_, Robert Arp offers an evolutionary account of the unique human ability to solve nonroutine vision-related problems. He argues that by the close of the Pleistocene epoch, humans evolved a conscious creative problem-solving capacity, which he terms scenario visualization, (...) that enabled them to outlive other hominid species and populate the planet. Arp shows that the evidence for scenario visualization -- by which images are selected, integrated, and then transformed and projected into visual scenarios -- can be found in the kinds of complex tools our hominid ancestors invented in order to survive in the ever-changing environments of the Pleistocene world. Arp also argues that this conscious capacity shares an analogous affinity with neurobiological processes of selectivity and integration in the visual system, and that similar processes can be found in the activities of organisms in general. The evolution of these processes, he writes, helps account for the modern-day conscious ability of humans to use visual information to solve nonroutine problems creatively in their environments. Arp's account of scenario visualization and its emergence in evolutionary history suggests an answer to two basic questions asked by philosophers and biologists concerning human nature: why we are unique; and how we got that way. Robert Arp is Postdoctoral Research Fellow at the National Center for Biomedical Ontology. His areas of specialization include philosophy of biology and philosophy of mind. He is the author of numerous articles and the forthcoming An Integrated Approach to the Philosophy of Mind. (shrink)

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 (...) cognitive fluidity alone will suffice for such an activity. I argue further that the flexible exchange of information between and among modules, as well as what I call scenario visualization - a conscious ability to segregate and integrate visual images in future scenarios - evolved in our species and accounts for certain kinds of creative problem solving. (shrink)

Integrating different perspectives is a sophisticated strategy for developing constructive interactions in collaborative problem solving. However, cognitive aspects such as individuals’ knowledge and bias often obscure group consensus and produce conflict. This study investigated collaborative problem solving, focusing on a group member interacting with another member having a different perspective. It was predicted that mavericks might mitigate disadvantages and facilitate perspective taking during problem solving. Thus, 344 university students participated in two laboratory-based experiments by (...) engaging in a simple rule-discovery task that raised conflicts among perspectives. They interacted with virtual partners whose conversations were controlled by multiple conversational agents. Results show that when participants interacted with a maverick during the task, they were able to take others’ perspectives and integrate different perspectives to solve the problem. Moreover, when participants interacted in groups with a positive mood, groups with a maverick outperformed groups having several perspectives. (shrink)

Expert chess players, specialized in different openings, recalled positions and solved problems within and outside their area of specialization. While their general expertise was at a similar level, players performed better with stimuli from their area of specialization. The effect of specialization on both recall and problem solving was strong enough to override general expertise—players remembering positions and solving problems from their area of specialization performed at around the level of players 1 standard deviation (SD) above them (...) in general skill. Their problem‐solving strategy also changed depending on whether the problem was within their area of specialization. When it was, they searched more in depth and less in breadth; with problems outside their area of specialization, the reverse. The knowledge that comes from familiarity with a problem area is more important than general purpose strategies in determining how an expert will tackle it. These results demonstrate the link in experts between problem solving and memory of specific experiences and indicate that the search for context‐independent general purpose problem‐solving strategies to teach to future experts is unlikely to be successful. (shrink)

This article describes the path‐mapping theory of how humans integrate analogical mapping and general problem solving. The theory posits that humans represent analogs with declarative roles, map analogs by lower‐level retrieval of analogous role paths, and coordinate mappings with higher‐level organizational knowledge. Implemented in the ACT‐R cognitive architecture, the path‐mapping theory enables models of analogical mapping behavior to incorporate and interface with other problem‐solving knowledge. Path‐mapping models thus can include task‐specific skills such as encoding analogs or (...) generating responses, and can make behavioral predictions at the level of real‐world metrics such as latency or correctness. We show that the path‐mapping theory can successfully account for the major phenomena addressed by previous theories of analogy. We also describe a path‐mapping model that can account for subjects' incremental eye‐movement and typing behavior in a story‐mapping task. We discuss extensions and implications of this work to other areas of analogy and problem‐solving research. (shrink)

Any part of the world can be viewed and modelled in terms of its chosen qualitative and/or quantitative properties, OR its structure. The former approach has been used by nearly the whole of ‘human intellectual endeavor’, i.e conventional science of physics, the arts etc. Development of the latter or the ‘systemic view’ is the subject matter of the current work. The Purpose of Change is Problem Solving suggests that the ‘structural view’ is empirical, pervasive throughout experience and (...) as such results in a single domain as opposed to conventional science which consists of many domains like mechanics, electricity etc. Thus, a unique approach is required which is based on ‘general principles of systems’ translated into operational form by the symbolism of processed natural language called ‘linguistic modelling of scenarios’ which can carry mathematics and uncertainties. To model scenarios with complex structure, a description or story in natural language is expressed in terms of homogenous language of one – and two – place sentences, the ‘elementary constituents’ of which complex structures can be constructed [like a variety of buildings from bricks]. To correspond to the single domain, based on the logic of causation, a single scheme of ‘Management/producers – Product – User/consumer’ is proposed which is immediately applicable to structuring scenarios and guides their detailed linguistic modelling or design. The approach, subject to debate, can have significant impact on society and education, especially that of engineering which lacks a ‘comprehensive theory of structure’ of problematic scenarios. (shrink)

We critically examine pragmatism's approach to skepticism and try to elucidate its certain limits. The central questions to be addressed are: whether “skepticism” interpreted through the lens of problem-solving does justice to the human condition; and whether the problem-solving approach to skepticism can do justice to pragmatism's self-proclaimed anti-foundationalism. We then examine Stanley Cavell's criticism of Dewey's “problem-solving” approach. We propose a shift from the problem-solving approach's eagerness for solutions to a (...) more Wittgensteinian and Emersonian project of dissolution. (shrink)

Abstract.We present the results of research carried out as a part of the project Current Controversies about Human Origins: Between Anthropology and the Bible, which focused on the supposed conflict between natural sciences and some branches of the humanities, notably philosophy and theology, with regard to human origins. One way to tackle the issue was to distribute a questionnaire among students and teachers of the relevant disciplines. Teachers of religion and the natural sciences (biology, chemistry, and physics) and (...) students of theology, philosophy, and the natural sciences (specializing in biology and/or anthropology) were asked to answer eleven questions concerning the perception of the conflict between evolutionism and creationism, the definitions of creation and evolution, the existence of a human spiritual element, and the ways of interpreting the Bible, especially the first chapters of the book of Genesis. We present selected results of this questionnaire. (shrink)

A form of metaphysical humanism in the field of philosophy of technology can be defined as the claim that besides technologies’ physical aspects, purely human attributes are sufficient to conceptualize technologies. Metaphysical nonhumanism, on the other hand, would be the claim that the meanings of the operative words in any acceptable conception of technologies refer to the states of affairs or events which are in a way or another shaped by technologies. In this paper, I focus on the conception (...) of technologies as problem-solving physical instruments in order to study the debate between the humanist and the nonhumanist ways of understanding technologies. I argue that this conception commits us to a hybrid understanding of technologies, one which is partly humanist and partly nonhumanist. (shrink)

The Role of Motivation in Complex Problem SolvingPrevious research on Complex Problem Solving (CPS) has primarily focused on cognitive factors as outlined below. The current paper discusses the role of motivation during CPS and argues that motivation, emotion, and cognition interact and cannot be studied in an isolated manner. Motivation is the process that determines the energization and direction of behavior (Heckhausen, 1991).Three motivation theories and their relation to CPS are examined: McClelland’s achievement motivation, Maslow’s hierarchy of (...) needs, and Dörner’s needs as outlined in PSI-theory. We chose these three theories for several reasons. First, space forces us to be selective. Second, the three theories are among the most prominent motivational theories. Finally, they are need theories postulating several motivations and not just one. A thinking-aloud protocol is provided to illustrate the role of motivational and cognitive dynamics in CPS. Problems are part of all the domains of human life. The field of CPS investigates problems that are complex, dynamic, and non-transparent (Dörner, 1996). Complex problems consist of many interactively interrelated variables. Dynamic ones change and develop further over time, regardless of whether the involved people take action. And non-transparent problems have many aspects of the problem situation that are unclear or unknown to the involved people. CPS researchers focus exactly on such kinds of problems. Under a narro... (shrink)

A focused review of the literature on reasoning suggests that mechanisms based upon contraries are of fundamental importance in various abilities. At the same time, the importance of contraries in the human perceptual experience of space has been recently demonstrated in experimental studies. Solving geometry problems represents an interesting case as both reasoning abilities and the manipulation of perceptual–figural aspects are involved.In this study we focus on perceptual changes in geometrical problem solving processes in order to (...) understand whether a mental manipulation in terms of opposites might help. Four conditions were studied, two of which concerned the search for contraries as an implicit or explicit strategy.Results demonstrated that contraries, when used explicitly in solution processes, constitute an effective heuristic: The number of correct solutions increased, less time was needed to find a solution and participants were oriented towards the use of perception-based solutions—not only wer.. (shrink)

Embodied cognition postulates a bi-directional link between the human body and its cognitive functions. Whether this holds for higher cognitive functions such as problem solving is unknown. We predicted that arm movement manipulations performed by the participants could affect the problem-solving solutions. We tested this prediction in quantitative reasoning tasks that allowed two solutions to each problem. In two studies with healthy adults, we found an effect of problem-congruent movements on problem solutions. (...) Consistent with embodied cognition, sensorimotor information gained via right or left arm movements affects the solution in different types of problem-solving tasks. (shrink)

This study examined 4-year-olds’ problem-solving under different social conditions. Children had to use water in order to extract a buoyant object from a narrow tube. When faced with the problem ‘cold’ without cues, nearly all children were unsuccessful. But when a solution-suggesting video was pedagogically delivered prior to the task, most children succeeded. Showing children the same video in a non-pedagogical manner did not lift their performance above baseline and was less effective than framing it pedagogically. The (...) findings support ideas central to natural pedagogy, 148–153, 2009). They also challenge the Cultural Intelligence hypothesis, according to which only humans’ social, but not their physical, cognition differs qualitatively from that of great apes. A more radical, transformative variant of the Cultural Intelligence hypothesis is suggested according to which humans’ physical cognition is shaped by their social nature and must therefore be recognized as equally distinctive as their social cognition. (shrink)

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 process. The uniting of certain aspects of Galilean-Newtonian and Hegelian-Marxian thought provides a genuinely experimental social science in which abstract hypothesis-testing is united with social action that is based on persons' awareness of relevant hypotheses viewed in historical perspective. (shrink)

The study of insight problem solving could well become one of the most important topics in the contemporary debate on thought. Dealing with insight problems today requires of necessity reconsidering the concept of bounded rationality. Simon’s work has inspired us to reflect on the specific quality of the type of boundaries which, by limiting the search, allow and guarantee the act of creativity; finding the solution to insight problems is emblematic of this creativity and provides a paradigmatic case. (...) According to Simon, the solution to insight problems requires a search for an alternative space. He considered the “Notice Invariants Heuristic” to be a powerful tool for focusing this search which must always be guided by salience. Therefore, in the case of insight problems the heuristic is not a weak method of solving problems; indeed, it is the only way, an innovative and creative approach to reach the solution. In our view, the solution to these problems is not attained by abstraction, but only by a pertinent interpretation of the context (interpretative heuristic) in the light of the goal, allowing the problem solver to abandon the default representation. We therefore propose that this interpretative heuristic is inherent to all insight problem solving processes and, in more general terms, is an adaptive characteristic of the human cognitive system; this of course implies that the dual process theory will have to be challenged and discussed. (shrink)