According to Sternberg (Transformational giftedness. In T. L. Cross & P. Olszewski-Kubilius (Eds.), Conceptual frameworks for giftedness and talent development (pp. 203–234). Prufrock Press, 2020; Transformational vs. transactional deployment of intelligence. Journal of Intelligence, 9(15), 2021), transformationally gifted children are those who view to make a positive, meaningful, and enduring difference to the world. To reach their goal, they need competencies to deal with the complexities of the twenty-first century. This means: they must understand the features of complex problems to (...) develop solutions for them. What they need is a kind of critical thinking paired with systems competency, i.e., the ability to construct mental models of abstract systems, to form and test hypotheses about these systems, and to develop strategies for system identification and successful control of such systems. Also, a strong emphasis on values is needed. (shrink)

Economic competitive advantage depends on innovation, which in turn requires pushing back the frontiers of various kinds of knowledge. Although understanding how knowledge grows ought to be a central topic of epistemology, epistemologists and philosophers of science have given it insufficient attention, even deliberately shunning the topic. Traditional confirmation theory and general epistemology offer little help at the frontier, because they are mostly retrospective rather than prospective. Nor have philosophers been highly visible in the science and technology policy realm, despite (...) philosophy’s being a normative discipline. This paper suggests a way to address both deficits. Creative scientists, technologists, business managers, and policy makers face similar problems of decision-making at their respective frontiers of knowledge. These areas should therefore be fertile ground for both epistemologists and philosophers concerned with policy. Here I call attention to the importance of heuristic appraisal for “frontier epistemology” and to policy formation. Evaluation of the comparative promise or expected fertility of available options comprises a cluster of activities that cut across traditional discovery/justification and descriptive/normative distinctions. The study of weak modes of reasoning and evaluation is especially relevant to socio-economic policy. (shrink)

The paper locates, appreciates, and extends several dimensions of Simon’s work in the direction of more recent contributions by people such as Gigerenzer and Dennett. The author’s “crowbar model of method” is compared to Simon’s scissors metaphor. Against an evolutionary background, both support a pragmatic rather than strong realist approach to theoretically deep and complex problems. The importance of implicit knowledge is emphasized, for humans, as well as nonhuman animals. Although Simon was a realist in some respects, his work on (...) bounded rationality, satisficing, problem solving, heuristics, models, and scientific discovery mark him as a pragmatist. Indeed, he should be regarded as one of the great American pragmatists, alongside Peirce, James, Dewey, and a few others. (shrink)

Engineering, as a complex and multidimensional practice of technology development, has long been a source of ethical concerns. These concerns have been approached from various perspectives. There are ongoing debates in the literature of the philosophy of engineering/technology about how to organize an optimized view of the values entailed in technology development processes. However, these debates deliver little in the way of a concrete rationale or framework that could comprehensively describe different types of engineering values and their multi-aspect interrelations in (...) real engineering practices. Approaching engineering values from a meaning-based perspective, as in this paper, can be a reliable method of tackling such a controversial problem. This paper therefore proposes that technology development be considered a systemic normative practice and attempts to provide a comprehensive view of various built-in values, their different origins and features, and a way of prioritizing them in real engineering processes. Studying two cases of the Zayandeh Rood Dam and the Abbasi Dam will lead to practical insights into how to understand norms in technology development and incorporate them into engineering practice. (shrink)

A rumour may easily be perceived as a solution, one that is quite circumstantial and wholly marked by mental improvisation, to a problem of collective relevance. Therefore, this paper argues that, antecedent to the rumour, there existed a need to know. Such a way of looking at things permits an advance in parsimony, since there must exist fewer originating ‘problems’ than attested ‘solutions’. On the other hand, this point of view installs rumour in the function of a revelation or symptom (...) of a social state which encompasses it. Finally, this perspective reconnects the production and development of rumours to the set of cognitive mechanisms of the computational type. One rediscovers therein the continuity of processes of social thought, and rumours cease to be confined to their status of monstrous singularities. (shrink)

This work examines the influence of reference dependence, including value selection bias and congruence effects, on diagnostic reasoning. Across two studies, we explored how dependence on the initial problem structure influences the ability to solve simplified precursors to the more traditional Bayesian reasoning problems. Analyses evaluated accuracy and types of response errors as a function of congruence between the problem presentation and question of interest, amount of information, need for computation, and individual differences in numerical abilities. Across all problem variations, (...) there was consistent and strong evidence of a value selection bias in that incorrect responses almost always conformed to values that were provided in the problem rather than other errors including those related to computation. The most consistent and unexpected error across all conditions in the first experiment was that people were often more likely to utilize the superordinate value as part of their solution rather than the anticipated reference class values. This resulted in a weakened effect of congruence, with relatively low accuracy even in congruent conditions, and a dominant response error of the superordinate value. Experiment 2 confirmed that the introduction of a new sample drew attention away from the provided reference class, increasing reliance on the overall sample size. This superordinate preference error, along with the benefit of repeating the PPV reference class within the question, demonstrated the importance of reference dependence based on the salience of information within the response prompt. Throughout, higher numerical skills were generally associated with higher accuracy, whether calculations were required or not. (shrink)

Fire safety expertise was in great demand following the Grenfell Tower fire in London in June 2017. The government established a review of building regulations and an expert panel to inform its responses to Grenfell, and many other relevant organisations also formed their own expert panels. However, expert knowledge in fire safety is a highly contested domain, with knowledge claims based on differing sources. Fire fighters can claim expertise based on their experience of fighting fires, scientists and science-based engineers can (...) claim expertise from experimentation, and those who create and enact regulations can claim expertise in what can termed ’codespeak’—the language of regulation. Although distanced from fundamental empirical experience of fire, codespeak is powerful because of its relative clarity and certainty, and legal status. Building users also bring their own form of ‘local’ expertise—they have first-hand experience of the practicalities of the solutions wrought by the other experts. Policy-makers thus face many competing forms of expert advice on fire safety, and their ability to judge what is most relevant in any particular case rests on the existence of a sufficient range and depth of in-house government expertise. (shrink)

‘Dira’ is a novel experimental paradigm to record combinations of behavioural and metacognitive measures for the creative process. This task allows assessing chronological and chronometric aspects of the creative process directly and without a detour through creative products or proxy phenomena. In a study with 124 participants we show that (a.) people spend more time attending to selected versus rejected potential solutions, (b.) there is a clear connection between behavioural patterns and self-reported measures, (c.) the reported intensity of Eureka experiences (...) is a function of interaction time with potential solutions, and (d.) experiences of emerging solutions can happen immediately after engaging with a problem, before participants explore all potential solutions. The conducted study exemplifies how ‘Dira’ can be used as an instrument to narrow down the moment when solutions emerge. We conclude that the ‘Dira’ experiment is paving the way to study the process, as opposed to the product, of creative problem solving. (shrink)

The use of multiple means of determination to “triangulate” on the existence and character of a common phenomenon, object, or result has had a long tradition in science but has seldom been a matter of primary focus. As with many traditions, it is traceable to Aristotle, who valued having multiple explanations of a phenomenon, and it may also be involved in his distinction between special objects of sense and common sensibles. It is implicit though not emphasized in the distinction between (...) primary and secondary qualities from Galileo onward. It is arguably one of several conceptions involved in Whewell’s method of the “consilience of inductions” (Laudan 1971) and is to be found in several places in Peirce. (From M. Brewer and B. Collins, eds., (1981); Scientific Inquiry in the Social Sciences (a festschrift for Donald T. Campbell), San Francisco: Jossey-Bass, pp. 123–162.). (shrink)

This second companion volume on engineering studies considers engineering practice including contextual analyses of engineering identity, epistemologies and values. Key overlapping questions examine such issues as an engineering identity, engineering self-understandings enacted in the professional world, distinctive characters of engineering knowledge and how engineering science and engineering design interact in practice. -/- Authors bring with them perspectives from their institutional homes in Europe, North America, Australia\ and Asia. The volume includes 24 contributions by more than 30 authors from engineering, the (...) social sciences and the humanities. Additional issues the chapters scrutinize include prominent norms of engineering, how they interact with the values of efficiency or environmental sustainability. A concluding set of articles considers the meaning of context more generally by asking if engineers create their own contexts or are they created by contexts. -/- Taken as a whole, this collection of original scholarly work is unique in its broad, multidisciplinary consideration of the changing character of engineering practice. (shrink)

To identify and conceptualize research problems in science, philosophers and often scientists rely on classical accounts of problems that focus on intellectual problems defined in relation to theories. Recently, philosophers have begun to study the structures and functions of research problems not defined in relation to theories. Furthermore, scientists have long pursued research problems often labeled as practical or applied. As yet, no account of problems specifies the description of both so-called intellectual problems and so-called applied problems. This article proposes (...) a new conceptual framework of problems that accounts both for intellectual aspects of problems and for their practical or applied aspects. I illustrate the account with an example of a recent research project from evolutionary biology, and I indicate further routes by that to develop the account, especially in connection to empirical studies of science. (shrink)

Despite its pervasiveness, the concept of ‘levels of organization’ has received relatively little attention in its own right. I propose here an emerging approach that posits ‘levels’ as a fragmentary concept situated within an interest-relative matrix of operational usage within scientific practice. To this end I propose one important component of meaning, namely the epistemic goal motivating the term’s usage, which recovers a remarkably conserved and sufficiently unifying significance attributable to ‘levels’ across different instances of usage. This epistemic goal, to (...) provide structure to scientific problems, delegates tasks whose execution generates the term’s expressed content in a given instance. This treatment of levels does not diminish the concept’s general importance to science, but rather allows for its use in, and usefulness for, scientific practice to be better contextualized to particular tasks encompassing varying breadths of activity. (shrink)

Novice designers produced a sequence of sketches while inventing a logo for a novel brand of soft drink. The sketches were scored for the presence of specific objects, their local features and global composition. Self‐assessment scores for each sketch and art critics' scores for the end products were collected. It was investigated whether the design evolves in an essentially random fashion or according to an overall heuristic. The results indicated a macrostructure in the evolution of the design, characterized by two (...) stages. For the majority of participants, the first stage is marked by the introduction and modification of novel objects and their local and global aspects; the second stage is characterized by changes in their global composition. The minority that showed the better designs has a different strategy, in which most global changes were made in the beginning. Although participants did not consciously apply these strategies, their self‐assessment scores reflect the stages of the process. (shrink)

Novice designers produced a sequence of sketches while inventing a logo for a novel brand of soft drink. The sketches were scored for the presence of specific objects, their local features and global composition. Self‐assessment scores for each sketch and art critics' scores for the end products were collected. It was investigated whether the design evolves in an essentially random fashion or according to an overall heuristic. The results indicated a macrostructure in the evolution of the design, characterized by two (...) stages. For the majority of participants, the first stage is marked by the introduction and modification of novel objects and their local and global aspects; the second stage is characterized by changes in their global composition. The minority that showed the better designs has a different strategy, in which most global changes were made in the beginning. Although participants did not consciously apply these strategies, their self‐assessment scores reflect the stages of the process. (shrink)

Ambiguities have long intrigued design and new product development (NPD) researchers: The fascination seems rooted in an endeavor to understand how design outcomes may be created despite the ambiguous nature of such work. There are several classic contributions on how to categorize, avoid and approach ambiguities. Some of the newer theories have also pointed to benefits arising from temporarily sustaining ambiguity. Little research has considered how ambiguities emerge, how ambiguities are sensed by practitioners, and the actions the practitioners take, either (...) to harness or to reduce the generative and transformative power of ambiguity, however. This is unfortunate, since ambiguities are at the heart of such knowing-work. If one does not know how to sense the emergence of ambiguities and act to reduce or harness their generative and transformative power, i.e. negotiate ambiguity, the work might become unproductive, confused, uncreative, and might require more energy and attention. The purpose of this research is to portray how ambiguities emerge and are negotiated in knowing-work. This is achieved by drawing on two cases of design and NPD work, from practice epistemology. The results indicated that the emerging ambiguities changed in the ongoing work, some being reduced, others becoming obsolete or persisting. The results also included five generalized actions to negotiate ambiguity: (1) constructing points of references, (2) mediating between perspectives, (3) anchoring in expertise, (4) disarming future resistance, and (5) creating shared visions. This research has concluded that the very essence of design work concerns the emergence and fading away of ambiguity. The actions taken to negotiate ambiguity mediates the emergence of the design outcome. This research makes two contributions: first, it illustrates how ambiguities open up design work by creating a space for action; second, it illustrates how actions to negotiate ambiguity maneuver in this space for action. (shrink)

We introduce an innovative technique that quantifies human expertise development in such a way that humans and artificial systems can be directly compared. Using this technique we are able to highlight certain fundamental difficulties associated with the learning of a complex task that humans are still exceptionally better at than their computer counterparts. We demonstrate that expertise goes through significant developmental transitions that have previously been predicted but never explicated. The first signals the onset of a steady increase in global (...) awareness that begins surprisingly late in expertise acquisition. The second transition, reached by only a very few experts in the world, shows a major reorganisation of global contextual knowledge resulting in a relatively minor gain in skill. We are able to show that these empirical findings have consequences for our understanding of the way in which expertise acquisition may be modelled by learning in artificial intelligence systems. This point is emphasised with a novel theoretical result showing explicitly how our findings imply a non-trivial hurdle for learning for suitably complex tasks. (shrink)

In introductory chemistry courses, should students be encouraged to solve problems by reasoning based on conceptual understanding or by applying memorized facts and algorithms? Cognitive scientists have recently studied this issue with the assistance of new technologies. In the current consensus model for cognition, during problem solving the brain relies on “working memory” to sequentially process small elements of knowledge. Working memory is able to hold and manipulate virtually all elements that can be recalled “with automaticity” from long-term memory, but (...) very few elements that are not recallable. As one consequence, students can reliably solve well-structured science problems only if most of the facts and algorithms needed to solve the problem have previously been well memorized. To achieve automaticity in recall, facts and procedures must be committed to memory and then tagged with associations to other knowledge in the brain’s conceptual frameworks. Accommodation can be assisted by guided inquiry. Articles citing methods that can assist students in the development of automaticity are listed, and implications for chemistry instruction are discussed. (shrink)

It is proposed that there are important generalizations about problem solving in design activity that reach across specific disciplines. A framework for the study of design is presented that (a) characterizes design as a radial category and fleshes out the task environment of the prototypical cases; (b) takes the task environment seriously; (c) shows that this task environment occurs in design tasks, but does not occur in every nondesign task; (d) explicates the impact of this task environment on the design (...) problem space; and (e) demonstrates that, given the structure of the information-processing system, the features noted in the problem spaces of design tasks will not all occur in problem spaces where the task environment is vastly different. This analysis leads to the claim that there are a set of invariant features in the problem spaces of design situations that collectively constitute a design problem space. Protocol studies are reported in which the problem spaces of three design tasks in architecture, mechanical engineering, and instructional design are explored and compared with several protocols from nondesign problem-solving tasks. (shrink)

The Durkheim Test. Remarks on Susan Leigh Star’s Boundary Objects. The article reconstructs Susan Leigh Star’s conceptual work on the notion of ‘boundary objects’. It traces the emergence of the concept, beginning with her PhD thesis and its publication as Regions of the Mind in 1989. ‘Boundary objects’ attempt to represent the distributed, multifold nature of scientific work and its mediations between different ‘social worlds’. Being addressed to several ‘communities of practice’, the term responded to questions from Distributed Artificial Intelligence (...) in Computer Science, Workplace Studies and Computer Supported Cooperative Work (CSCW), and microhistorical approaches inside the growing Science and Technology Studies. Yet the interdisciplinary character and interpretive flexibility of Star’s invention has rarely been noticed as a conceptual tool for media theory. I therefore propose to reconsider Star’s ‘Durkheim test’ for sociotechnical media practices. (shrink)

Classical models of decision making deal fairly well with uncertainty, where settings are well-structured in terms of goals, alternatives, and consequences. Conversely, the typical ill-structured nature of strategy choices remains a challenge for extant models. Such cases can hardly build on the past, and their novelty makes the prediction of consequences a very difficult and poorly robust task. The weakness of the classical expected utility model in representing such problems has not been adequately solved by recent extensions. In this paper (...) we offer an explanatory coherence model for decision making in ill-structured problems. We model alternatives as sets of concurrent causal explanations of reality that act as justifications for action. According to these premises, choice is based on an evaluation of the internal coherence and the consistency of competing explanations of the available evidence. This model is psychologically grounded on causal inference and builds on the connectionist tradition of explanatory coherence. To illustrate the model, we consider the decision of investing in a new technology and we discuss how changes in the structure of alternatives may impact on the solution. We show how the final choice depends on collecting the relevant evidence, making the suitable hypotheses, and drawing the consistent causal explanations linking the two. (shrink)

As public administrations adopt artificial intelligence (AI), we see this transition has the potential to transform public service and public policies, by offering a rapid turnaround on decision making and service delivery. However, a recent series of criticisms have pointed to problematic aspects of mainstreaming AI systems in public administration, noting troubled outcomes in terms of justice and values. The argument supplied here is that any public administration adopting AI systems must consider and address ambiguities and uncertainties surrounding two key (...) dimensions: the algorithms’ results, and how public managers make decisions for and about AI systems’ design. The article is based on bibliographic research in institutional theory perspective that relates the design of AI systems and relevant literature on the decision-making process in public policy. The main finding is to explain why autonomous decision systems continue to reproduce ambiguities and uncertainties when applied in public administration and propose a reflection on AI governance in public administration. This article points to the need for design institutions that immerse themselves in understanding the nuances, details, and potential outcomes of AI governance for public administration. Such institutions would reconcile consequentialist logic with a logic of appropriateness to help navigate and mediate ambiguities and uncertainties. (shrink)

This paper retraces the epistemological history of an English-language research tradition stemming from political planning and management, from the 1970s to the present day. This school of thought has developed notions such as « ill-structured problems, » « fuzzy problems, » « wicked problems, » and even « super-wicked problems, » which aim to account for the difficulty of political problems and question the Cartesian image of the problem as fully definable and soluble. We seek to evaluate the epistemological content (...) of these concepts, describe the debates they provoke over their definition, their operationality, and their possible uses for political science. But the main question is whether this research tradition, which gives rise to a philosophy of education and to pedagogical proposals, is capable of fertilizing an education in politics, within the framework of the socially acute questions now introduced in school curricula and in relation to the problems that worry us most today, such as climate change or pandemics. (shrink)

In the twentieth century, no person epitomized more dramatically the “Renaissance mind” than Herbert A. Simon (1916–2001). In aworking life spanning over 60 years, Simon made seminal contributions to administrative theory, axiomatic foundations of physics, economics, sociology, econometrics, cognitive psychology, logic of scientific discovery, and artificial intelligence. Simon's life of the mind, thus, affords nothing less than a “laboratory” in which to observe and examine at close quarters the phenomenon ofmultidisciplinary creativity. In this paper, we attempt to shed some light (...) on the nature of Simon's creativity and the nature of his particular Renaissance mind. In particular, we have attempted here to articulate thecognitive styleunderlying Simon's multidisciplinary creativity. (shrink)

In this article, I revisit Pierre Bourdieu's concept of habitus and contrast it with Herbert Simon's notion of bounded rationality. Through a discussion of the literature of economic sociology on status and Fligstein's political-cultural approach, I argue that this concept can be a source of fresh insights into empirical problems. I find that the greater the change in the social environment, the more salient the benefits of using habitus as a tool to analyze agents' behavior.

A survey of contemporary philosophical and scientific literatures reveals that different authors employ the term ‘heuristic’ in ways that deviate from, and are sometimes inconsistent with, one another. Given its widespread use in philosophy and cognitive science generally, it is striking that there appears to be little concern for a clear account of what phenomena heuristics pick out or refer to. In response, I consider several accounts of ‘heuristic’, and I draw a number of distinctions between different sorts of heuristics (...) in order to make sense of various research programmes. I then develop a working characterization of ‘heuristic’ which is shown to be coherent and robust enough to serve as a kind within philosophy and cognitive science broadly. My intent is not to pursue a unified account of ‘heuristic’, but to highlight some features of certain kinds of heuristics that are important for theorizing about cognition in order to proceed with a science of the mind/brain. 1 Why We Need an Appropriate Characterization of ‘Heuristic’2 Inadequate Definitions2.1 A positive attempt2.2 Heuristics versus guaranteed correct outcomes3 A Taxonomy of Heuristics3.1 Stimulus-driven versus heuristic3.2 Perceptual versus cognitive heuristics3.3 Computational versus cognitive heuristics3.4 Methodological versus inferential heuristics3.5 Summary of distinctions4 Characterizing Cognitive Heuristics4.1 Heuristics as rules of thumb4.2 Beyond rules of thumb: exploiting information5 Concluding Remarks. (shrink)

Cliff Hooker’s effort at developing a naturalistic philosophy for scientific and quotidian reason is formidable. With Barry Hoffmaster, Hooker has recently expanded his naturalism to encompass moral reason and moral epistemology by considering a real life example of moral decision-making. Hoffmaster and Hooker’s work thus presents a unique opportunity to examine a thoroughgoing naturalism applied to a concrete, complex case. This paper offers a critical assessment of the Hoffmaster and Hooker piece through the lens of an externalist approach to naturalism (...) developed by Adam Morton. General lessons for naturalism about reason are revealed before a rough sketch of a novel account of problems and problem-solving is given to illustrate the importance of externalism. (shrink)

Methodological reductionists practice ‘wannabe reductionism’. They claim that one should pursue reductionism, but never propose how. I integrate two strains in prior work to do so. Three kinds of activities are pursued as “reductionist”. “Successional reduction” and inter-level mechanistic explanation are legitimate and powerful strategies. Eliminativism is generally ill-conceived. Specific problem-solving heuristics for constructing inter-level mechanistic explanations show why and when they can provide powerful and fruitful tools and insights, but sometimes lead to erroneous results. I show how traditional metaphysical (...) approaches fail to engage how science is done. The methods used do so, and support a pragmatic and non-eliminativist realism. (shrink)

This paper investigates how reports concerning a given country’s prospects affect investment decisions in two stylized, artificial organizational settings. We designed a role-game laboratory experiment, where subjects were asked to make investment decisions for two types of fictitious companies from the same country. We found that when available reports included positive country prospects, subjects strategized more on investments regardless of the characteristics of their organization. When reports included negative prospects, however, certain organizational peculiarities influenced the subjects’ interpretations, with decision-makers opting (...) for more prudent plans when managing a more traditional company. Cognitive maps of decision makers showed that subjects considered investment strategies as a means to fulfil a company’s role expectations regarding appropriate decisions. Notwithstanding all caveats due to the artificial and simplified nature of our experimental setting, our findings indicate the need for more research on the effect of reports and prospect analysis on strategic decisions of companies, especially when business prospects are uncertain. (shrink)

My dissertation explores the ways in which Rudolf Carnap sought to make philosophy scientific by further developing recent interpretive efforts to explain Carnap’s mature philosophical work as a form of engineering. It does this by looking in detail at his philosophical practice in his most sustained mature project, his work on pure and applied inductive logic. I, first, specify the sort of engineering Carnap is engaged in as involving an engineering design problem and then draw out the complications of design (...) problems from current work in history of engineering and technology studies. I then model Carnap’s practice based on those lessons and uncover ways in which Carnap’s technical work in inductive logic takes some of these lessons on board. This shows ways in which Carnap’s philosophical project subtly changes right through his late work on induction, providing an important corrective to interpretations that ignore the work on inductive logic. Specifically, I show that paying attention to the historical details of Carnap’s attempt to apply his work in inductive logic to decision theory and theoretical statistics in the 1950s and 1960s helps us understand how Carnap develops and rearticulates the philosophical point of the practical/theoretical distinction in his late work, offering thus a new interpretation of Carnap’s technical work within the broader context of philosophy of science and analytical philosophy in general. (shrink)

Building off the recent work on the semantics of problem, we suggest a more general account that encompasses problems of all agents, human or nonhuman, individual or communal. Situation X is a problem for agent A, iff situation X is at odds with the agent’s goal G and removing the discrepancy between X and G presents some difficulty for agent A. In addition, for agent A to actually have a problem, they must also be in such situation X. In contrast, (...) agent A recognizes that situation X is a problem for them iff agent A represents, correctly or incorrectly, that situation X is at odds with their goal G, agent A represents, correctly or incorrectly, that removing the discrepancy between X and G presents some difficulty, and agent A represents, correctly or incorrectly, that they are in situation X. Several conclusions follow from these definitions. (1) Not every problem involves questions. (2) Not all problems involve undesirable states. (3) For an agent to consider a situation problematic, they should be aware of the situation; yet awareness of the situation is not necessary for an agent to have a problem or for a situation to be a problem for an agent. (4) Contexts need not be part of the problem: the context of a specific problem need not also be part of a more general problem. (5) The complete elimination of the discrepancy between a situation and a goal eliminates the problem, while the problem continues to exist when it receives a partial solution. (6) For something to be a problem, it does not have to be solvable, and the agent does not have to accept that something needs to be done about it, nor should they use the language of ameliorable/solvable. (shrink)

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 nature, much (...) of it reflected the rapid depth-first exploration of tentative solution ideas. We argue that switches from a predominantly breadth-first mode of problem solving to depth-first or opportunistic modes may be an important aspect of the expert's strategic knowledge about how to conduct the design process effectively when faced with difficulties, uncertainties, and design impasses. (shrink)

The Sustainable Development Goals are an opportunity to address major social and environmental challenges. As a widely agreed framework they offer a potential way to mobilise stakeholders on a global scale. The manner in which the goals, with time-based targets and specific metrics, are set out within a voluntary reporting process adopted by both governments and business, provides a fascinating and important case for organisational studies. It is both about advancing performance measurement and evidence-based policy-making for sustainable development, and also (...) participation and consultation at a wider, more global scale, than has ever been possible before. This paper contributes to the notion of SDGs as a wicked problem, answering calls for deeper theorisation, via synthesis with core ideas in the management field of decision theory. A case study on the wicked problem of deforestation and its links to supply chains, multi-stakeholder initiatives and SDG reporting, provides an illustration of the relevance of the application of decision theory to wicked problems, presented using a novel conceptual framework. This helps to illustrate new avenues for research and practical application regarding the balance of technocratic and participative approaches for sustainable development. (shrink)

While action selection strategies in well‐defined domains have received considerable attention, little is yet known about how people choose what to do next in ill‐defined tasks. In this contribution, we shed light on this issue by considering everyday tasks, which in many cases have a multitude of possible solutions (e.g., it does not matter in which order the items are brought to the table when setting a table) and are thus categorized as ill‐defined problems. Even if there are no hard (...) constraints on the ordering of subtasks in everyday activities, our research shows that people exhibit specific preferences. We propose that these preferences arise from bounded rationality, that is, people only have limited knowledge and processing power available, which results in a preference to minimize the overall physical and cognitive effort. In the context of everyday activities, this can be achieved by (a) taking properties of the spatial environment into account to use them to one's advantage, and (b) employing a stepwise‐optimal action selection strategy. We present the Opportunistic Planning Model as an explanatory cognitive model, which instantiates these assumptions, and show that the model is able to generalize to new everyday tasks, outperforming machine learning models such as neural networks during generalization. (shrink)