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In exploring deliberative dynamics within mini-publics, it has been observed that initial group-building activities play a crucial role in enhancing deliberative reasoning. However, the influence of liberal democratic practices such as voting mechanisms and the inclusion of strategic or representative stakeholders, on deliberative processes is not well understood. This study undertakes a comparative configurational meta-analysis (CCMA) of 22 minipublics to investigate how these liberal democratic elements influence deliberative reasoning. Results indicate that participants’ deliberative reasoning is significantly enhanced in contexts where initial group activities are coupled with prolonged periods of deliberation and where voting is minimised or absent. In contrast, the presence of voting mechanisms, strategic stakeholder involvement, and a high impact of minipublics on decision-making processes are associated with weaker, negative, or stable participant deliberative reasoning. These findings contribute to the broader discourse on the integration of deliberative and non-deliberative components within minipublics, highlighting the potential negative impact of strategic behaviour on the quality of deliberation.
This paper argues that we are not just social epistemic creatures because we operate in social contexts. We are social epistemic creatures because of the nature of our epistemic cognitive capacities. In The Enigma of Reason, Hugo Mercier and Dan Sperber develop and defend the view that reasoning is a social competence that yields epistemic benefits for individuals through social interaction with others. I argue an epistemological consequence of their position is that, when beliefs are formed and sustained by dialogical deliberation, the relevant justification-conferring process doesn’t occur solely within the cognition of the subject whose belief is under evaluation. Rather, it extends to include her interactive engagement with other deliberative participants. I argue this demonstrates that not all justification-conferring is evidential. As such, the analysis not only supports reconceiving the process reliabilist’s notion of justification-conferring processes; it also serves as an argument against evidentialism. A goal of this paper is to demonstrate that social epistemology isn’t merely a siloed offshoot of traditional epistemology. Even when approaching social epistemology using a conservative methodology, our investigation has serious implications for fundamental questions concerning epistemic normativity.
Knowledge-first epistemology places knowledge at the normative core of epistemological affairs: on this approach, central epistemic phenomena are to be analyzed in terms of knowledge. This Element offers a defence of an integrated, naturalistic knowledge-first account of justified belief, reasons, evidence and defeat, permissible assertion and action, and the epistemic normativity of practical and theoretical reasoning. On this account, the epistemic is an independent normative domain organized around one central etiological epistemic function: generating knowledge. In turn, this epistemic function generates epistemic norms of proper functioning that constitute the epistemic domain, and govern moves in our epistemic practice, such as forming beliefs, asserting, and reasoning. This title is also available as Open Access on Cambridge Core.
This chapter of the handbook tackles a frequently discussed topic in moral psychology: moral dilemmas. The authors offer a normative characterization of moral dilemmas as a situation in which every available course of action involves a difficult moral trade-off and it is morally appropriate for the agent to feel conflicted about the choices available. The authors then explore different empirical accounts of why some moral trade-offs are experienced as difficult or impossible to resolve. Among the most influential of these accounts is dual-process theory, which traces the experience of moral dilemmas to a conflict between a value backed by automatic emotional processes and a value backed by reflection. The authors argue against the dual-process account, and review empirical research bearing on the psychological mechanisms underpinning a person’s experience and resolution of moral dilemmas, as well as the phenomenon of “moral residue.” They argue that further empirical work is needed to understand how people weigh competing values against one another and that such understanding requires expanding the range of moral dilemmas to include cases beyond those targeted in recent research.
Some developmental researchers plough a long, straight furrow. I can claim nothing so unwavering. I trace instead a career that has meandered, both geographically and intellectually, with successive forays into topics that have at best a subterranean connection to each other. In the Netherlands, I studied children’s developing understanding of different aspects of emotion, and more broadly their theory of mind. In England, I studied children’s imagination, including their pretending, role-play, reasoning, counterfactual thinking and emotional reactions to works of fiction. In the United States, I conducted studies on children’s willingness to trust testimony from informants who vary in their history of accuracy, their membership of particular groups and their levels of relevant expertise as well as studies of cross-cultural variation in the pattern of testimony that children receive – especially with respect to invisible or hard-to-observe phenomena in the domains of religion and science.
Historiographic reasoning from evidentiary inputs is sui generis. Historiography is neither empirical, nor self-knowledge, nor a genre of fiction or ideology. Historiographic reasoning is irreducible to general scientific or social science reasoning. The book applies Bayesian insights to explicate historiographic reasoning as probable. It distinguishes epistemic transmission of knowledge from evidence from the generation of detailed historiographic knowledge from multiple coherent and independent evidentiary inputs in three modular stages. A history of historiographic reasoning since the late 18th century demonstrates that there was a historiographic scientific revolution across the historical sciences in the late 18th and early 19th centuries. The underdetermination of historiography by the evidence, counterfactual historiographic reasoning, and false reasoning and other fallacies are further explained and discussed in terms of the probabilistic relations between the evidence and historiography.
It is common for philosophers to suggest that practical deliberation is normative; deliberation about what to do essentially involves employing normative concepts. This thesis—‘the Normativity Thesis’—is significant because, among other things, it supports the conclusion that normative thought is inescapable for us. In this article, I defend the Normativity Thesis against objections.
This chapter argues that Collingwood’s “logic of question and answer” (LQA) can best be understood in the light of contemporary argumentation theory. Even if Collingwood quite often describes LQA in terms of inner thinking and reasoning, as was still usual in his time, his insistence on the normative (“criteriological”) character of LQA, paired with his attack on the pretensions of psychologists to describe logic (as well as other normative endeavours) in a purely empirical manner, makes clear that LQA has the same aspirations as the rising discipline of formal (mathematical) logic. The concise exposition of the form, content, and application of LQA is supported by references to all the relevant passages in Collingwood’s oeuvre as well as illustrated by means of a concrete example of his way of doing history. Although a recent and still developing discipline, contemporary argumentation theory was born as an attempt to describe and analyze argumentative texts as guided by norms constitutive of our argumentative practices in a way that completely escapes formal logic. It thus provides a place for LQA that has so far been lacking.
The process of identifying and interpreting norms of customary international law, while appearing to be primarily based on an inductive analysis of state practice and opinio juris, is sometimes a deductive exercise based on logic and reason. Logic permeates every decision in international law. Logic manifests itself inherently throughout the process and can be identified in all steps of reasoning in identifying, interpreting and applying customary international law. Logic, however, can constitute the application of either an inductive or deductive inference. This chapter focuses on situations in which the International Court of Justice (ICJ) and the Permanent Court of International Justice (PCIJ) applied a deductive approach, identifying or interpreting norms of customary international law without seeming to consult state practice and opinio juris. Specifically, it considers whether norms that can be reasonably inferred or deduced from existing rules, or that are simply logical for the operation of the international legal system, can be identified as norms of customary international law under a complementary, supplementary or distinctive interpretive approach.
Design rationale is the justification behind a product component, often captured via written reports and oral presentations. Research shows that the structure and information used to communicate and document rationale significantly influence human behavior. To better understand the influence of design rationale on engineering design, we investigate the information engineers and designers include in design rationales in written reports. Eight hundred and forty-six pages of student engineering design reports from 28 teams representing 116 individuals were analyzed using a mixed-methods approach and compared across project types. The rationales from the reports were coded inductively into concepts and later applied to five industry reports consisting of 218 pages. The findings reveal a spectrum of rationales underpinning design decisions. Grounded in the data, the feature, specification and evidence (FSE) framework emerged as a feature-based and low-effort capture approach. We discuss the need to improve design communication in engineering design, through structuring rationales (i.e., using the proposed FSE framework or other representations) and improving technical writing skills. Lastly, by enhancing design rationale communication and documentation practices, significant benefits can be realized for computational support tools such as automatic rationale extraction or generative approaches.
When we're inquiring to find out whether p is true, knowing that we'll get better evidence in the future seems like a good reason to suspend judgment about p now. But, as Matt McGrath has recently argued, this natural thought is in deep tension with traditional accounts of justification. On traditional views of justification, which doxastic attitude you are justified in having now depends on your current evidence, not on what you might learn later. McGrath proposes to resolve this tension by distinguishing between different ways of having a neutral attitude. I argue that McGrath's account is unable to account for the full range of cases in which an agnostic attitude is warranted. We can remedy this by pairing his account with my theory of transitional and terminal attitudes, which claims that attitudes are justified in different ways depending on whether they are formed in intermediate stages of deliberation or as conclusions of deliberation. I compare my view with an alternative, more parsimonious one, according to which deliberation itself is a source of new evidence. I argue that this alternative proposal is faced with a dilemma: it either generates a vicious regress, or it fails to capture the relevant cases.
Our experience of reasoning is replete with conflict. People phenomenologically vacillate between options when confronted with challenging decisions. Existing experimental designs typically measure a summary of the experience of the conflict experienced throughout the choice process for any individual choice or even between multiple observers for a choice. We propose a new method for measuring vacillations in reasoning during the time-course of individual choices, utilizing them as a fine-grained indicator of cognitive conflict. Our experimental paradigm allows participants to report the alternative they were considering while deliberating. Through 3 experiments, we demonstrate that our measure correlates with existing summary judgments of conflict and confidence in moral and logical reasoning problems. The pattern of deliberation revealed by these vacillations produces new constraints for theoretical models of moral and syllogistic reasoning.
According to Action-First theorists, like Jonathan Dancy, reasons for action explain reasons for intentions. According to Intention-First theorists, like Conor McHugh and Jonathan Way, reasons for intentions explain reasons for action. In this paper, I introduce and defend a version of the Action-First theory called “Instrumentalism.” According to Instrumentalism, just as we can derive, using principles of instrumental transmission, reasons to ψ from reasons to ϕ (provided there’s some relevant instrumental relation between ψ-ing and ϕ-ing), we can derive reasons to intend to ϕ from reasons to ϕ (provided there’s some relevant instrumental relation between intending to ϕ and ϕ-ing). After providing some defense of Instrumentalism, I turn to two recent, important arguments for the Intention-First theory advanced by McHugh and Way, and I argue that neither of them succeed. I conclude that we should reject the Intention-First theory and that we have grounds for optimism about the Action-First theory.
A peculiar feature of our species is that we settle what to believe, value, and do by reasoning through narratives. A narrative is adiachronic, information-rich story that contains persons, objects, and at least one event. When we reason through narrative, we usenarrative to settle what to do, to make predictions, to guide normative expectations, and to ground which reactive attitudes we think areappropriate in a situation. Narratives explain, justify, and provide understanding. Narratives play a ubiquitous role in human reasoning. Andyet, narratives do not seem up to the task. Narratives are often unmoored representations (either because they are do not purport to referto the actual world, or because they are grossly oversimplified, or because are known to be literally false). Against this, I argue thatnarratives guide our reasoning by shaping our grasp of modal structure: what is possible, probable, plausible, permissible, required,relevant, desirable and good. Narratives are good guides to reasoning when they guide us to accurate judgments about modal space. Icall this the modal model of narrative. In this paper, I develop an account of how narratives function in reasoning, as well as an account ofwhen reasoning through narrative counts as good reasoning.
Thinking encompasses a very wide range of phenomena. Chapter 6 first comes back to a study focused on the pleasure of thinking itself. Pleasure is then examined in three modes of thinking: sense-making, reasoning, and daydreaming. Second, as acts of thinking are always situated in specific activities and anchored in various domains of experience, the chapter distinguishes various domains of knowledge: all are complex semiotic systems, culturally mediated, which can be more or less culturally shared and formalised. Third, the chapter examines trajectories of thinking in many systems of knowledge, formal or informal; starting with daily modes of thinking and their pleasures, it examines the pleasures of thinking in professional thinkers before exploring a specific form of sense-making connected to personal experiences. Altogether, this chapter shows that trajectories of thinking are dynamic and that they intermesh elements from a diversity of knowledge systems, moving along various modalities of pleasure.
Temporal Logics are a rich variety of logical systems designed for formalising reasoning about time, and about events and changes in the world over time. These systems differ by the ontological assumptions made about the nature of time in the associated models, by the logical languages involving various operators for composing temporalized expressions, and by the formal logical semantics adopted for capturing the precise intended meaning of these temporal operators. Temporal logics have found a wide range of applications as formal frameworks for temporal knowledge representation and reasoning in artificial intelligence, and as tools for formal specification, analysis, and verification of properties of computer programs and systems. This Element aims at providing both a panoramic view on the landscape of the variety of temporal logics and closer looks at some of their most interesting and important landmarks.
Influential ‘fast-and-slow’ dual process models suggest that sound reasoning requires the correction of fast, intuitive thought processes by slower, controlled deliberation. Recent findings with high-level reasoning tasks started to question this characterization. Here we tested the generalizability of these findings to low-level cognitive control tasks. More specifically, we examined whether people who responded accurately to the classic Stroop and Flanker tasks could also do so when their deliberate control was minimized. A two-response paradigm, in which people were required to give an initial ‘fast’ response under time–pressure and cognitive load, allowed us to identify the presumed intuitive answer that preceded the final ‘slow’ response given after deliberation. Across our studies, we consistently find that correct final Stroop and Flanker responses are often non-corrective in nature. Good performance in cognitive control tasks seems to be driven by accurate ‘fast’ intuitive processing, rather than by ‘slow’ controlled correction of these intuitions. We also explore the association between Stroop and reasoning performance and discuss implications for the dual process view of human cognition.
'Encouraging Innovation: Cognition, Education, and Implementation' is of interest to people who desire to become more innovative in their daily lives and careers. Part I discusses the cognitive and social skills required for innovation – reasoning, problem solving, creativity, group decision making, and collaborative problem solving. The second part discusses education – the development of cognitive skills and talent, application of relevant learning theories, methods and curricula for enhancing creativity, creativity across disciplines, and design education. Part III discusses the implementation of these skills in society – the transition from theory to practice, business innovation, social innovation, and organizational support. Whereas business innovation is related to commercialization, market demands, and profitability, social innovation addresses fulfilling social needs and public demands. Organizational support for innovation occurs at international, national, agency, and regional levels.
This chapter takes a fresh look at the marionette image introduced by Plato in a famous passage of Book 1 of the Laws, as he undertakes to explain the bearing of self-rule upon virtue (644b–645e). I argue that the reader of the passage is first offered a cognitive model of a unitary self, presided over by reasoning – which prompts bafflement in the Athenian Visitor’s interlocutors. The marionette image then in effect undermines that model, by portraying humans as passive subjects of contrary controlling impulses determining their behaviour. Finally the image is complicated and in the end transcended by reintroduction of reasoning as a special kind of divinely inspired impulse, with which one must actively cooperate if animal impulses are to be mastered. I examine the way Plato’s reference at this point to law (where there is a key translation problem) should be understood to bear upon the nature of the reasoning in question. In conclusion, I comment on what light is thrown by the marionette passage on self-rule, as we have been promised.
Inductive reasoning involves generalizing from samples of evidence to novel cases. Previous work in this field has focused on how sample contents guide the inductive process. This chapter reviews a more recent and complementary line of research that emphasizes the role of the sampling process in induction. In line with a Bayesian model of induction, beliefs about how a sample was generated are shown to have a profound effect on the inferences that people draw. This is first illustrated in research on beliefs about sampling intentions: was the sample generated to illustrate a concept or was it generated randomly? A related body of work examines the effects of sampling frames: beliefs about selection mechanisms that cause some instances to appear in a sample and others to be excluded. The chapter describes key empirical findings from these research programs and highlights emerging issues such as the effect of timing of information about sample generation (i.e., whether it comes before or after the observed sample) and individual differences in inductive reasoning. The concluding section examines how this work can be extended to more complex reasoning problems where observed data are subject to selection biases.