Despite increasing evidence that the traditional lecture is inefficient for student learning, such methods remain the central paradigm for teaching logic. In this paper, I identify the deficits of the lecture model and outline the many benefits of flipping the logic classroom—namely that students can absorb information at their own pace, freeing classroom time for active learn- ing activities, and allowing the students to come prepared to actively engage in deeper levels of learning. I provide advice for curricular change from (...) the traditional model, and guidance for flipped classroom implementation. I also offer suggestions for the best use of newly available class time, and advice for keeping students accountable for learning the information prior to class. Last, I consider common challenges with the flipped classroom model. I acknowledge possible obstacles to flipping the undergraduate logic course and address these challenges with potential solutions. (shrink)

According to David Chalmers, the hard problem of consciousness consists of explaining how and why qualitative experience arises from physical states. Moreover, Chalmers argues that materialist and reductive explanations of mentality are incapable of addressing the hard problem. In this chapter, I suggest that Chalmers’ hard problem can be usefully distinguished into a ‘how question’ and ‘why question,’ and I argue that evolutionary biology has the resources to address the question of why qualitative experience arises from brain states. From this (...) perspective, I discuss the different kinds of evolutionary explanations (e.g., adaptationist, exaptationist, spandrel) that can explain the origins of the qualitative aspects of various conscious states. This argument is intended to clarify which parts of Chalmers’ hard problem are amenable to scientific analysis. (shrink)

Piccinini and Craver (Synthese 183:283–311, 2011) argue for the surprising view that psychological explanation, properly understood, is a species of mechanistic explanation. This contrasts with the ‘received view’ (due, primarily, to Cummins and Fodor) which maintains a sharp distinction between psychological explanation and mechanistic explanation. The former is typically construed as functional analysis, the analysis of some psychological capacity into an organized series of subcapacities without specifying any of the structural features that underlie the explanandum capacity. The latter idea, of (...) course, sees explanation as a matter of describing structures that maintain (or produce) the explanandum capacity. In this paper, I defend the received view by criticizing Piccinini and Craver’s argument for the claim that psychological explanation is not distinct from mechanistic explanation, and by showing how psychological explanations can possess explanatory force even when nothing is known about the underlying neurological details. I conclude with a few brief criticisms about the enterprise of mechanistic explanation in general. (shrink)

Public discussions of political and social issues are often characterized by deep and persistent polarization. In social psychology, it’s standard to treat belief polarization as the product of epistemic irrationality. In contrast, we argue that the persistent disagreement that grounds political and social polarization can be produced by epistemically rational agents, when those agents have limited cognitive resources. Using an agent-based model of group deliberation, we show that groups of deliberating agents using coherence-based strategies for managing their limited resources tend (...) to polarize into different subgroups. We argue that using that strategy is epistemically rational for limited agents. So even though group polarization looks like it must be the product of human irrationality, polarization can be the result of fully rational deliberation with natural human limitations. (shrink)

Developing earlier studies of the system of numbers in Mundurucu, this paper argues that the Mundurucu numeral system is far more complex than usually assumed. The Mundurucu numeral system provides indirect but insightful arguments for a modular approach to numbers and numerals. It is argued that distinct components must be distinguished, such as a system of representation of numbers in the format of internal magnitudes, a system of representation for individuals and sets, and one-to-one correspondences between the numerosity expressed by (...) the number and its metrics. It is shown that while many-number systems involve a compositionality of units, sets and sets composed of units, few-number languages, such as Mundurucu, do not have access to sets composed of units in the usual way. The nonconfigurational character of the Mundurucu language, which is related to a property for which we coin the term 'low compositionality power', accounts for this and explains the curious fact that Mundurucus make use of marked one-to-one correspondence strategies in order to overcome the limitations of the core system at the perceptual/motor interface of the language faculty. We develop an analysis of a particular construction, parallel numbers, which has not been studied before, elucidating the whole system. This analysis, we argue, sheds new light on classical philosophical, psychological and linguistic debates about numbers and numerals and their relation to language, and more particularly, sheds light on few-number languages. (shrink)

The capacity to generate recursive sequences is a marker of rich, algorithmic cognition, and perhaps unique to humans. Yet, the precise processes driving recursive sequence generation remain mysterious. We investigated three potential cognitive mechanisms underlying recursive pattern processing: hierarchical reasoning, ordinal reasoning, and associative chaining. We developed a Bayesian mixture model to quantify the extent to which these three cognitive mechanisms contribute to adult humans’ performance in a sequence generation task. We further tested whether recursive rule discovery depends upon relational (...) information, either perceptual or semantic. We found that the presence of relational information facilitates hierarchical reasoning and drives the generation of recursive sequences across novel depths of center embedding. In the absence of relational information, the use of ordinal reasoning predominates. Our results suggest that hierarchical reasoning is an important cognitive mechanism underlying recursive pattern processing and can be deployed across embedding depths and relational domains. (shrink)

This paper examines early syntactic development from a usage-based perspective, using transcripts of the spontaneous speech of two Englishspeaking children recorded at relatively dense intervals at ages 2;0 and 3;0. We focus primarily on the children’s question constructions, in an effort to determine (i) what kinds of units they initially extract from the input (their size and degree of specificity / abstractness); (ii) what operations they must perform in order to construct novel utterances using these units; and (iii) how the (...) units and the operations change between the ages of two and three. In contrast to nativist theories of language development which suggest that children are working with abstract syntactic categories from an early point in development, we suggest that the data are better accounted for by the proposal that children begin with lexically specific phrases and gradually build up a repertoire of increasingly abstract constructions. (shrink)

Although seemingly irrational choice abounds, the rules governing these mis‐steps that might provide hints about the factors limiting normative behavior are unclear. We consider three experimental tasks, which probe different aspects of non‐normative choice under uncertainty. We argue for systematic statistical, algorithmic, and implementational sources of irrationality, including incomplete evaluation of long‐run future utilities, Pavlovian actions, and habits, together with computational and statistical noise and uncertainty. We suggest structural and functional adaptations that minimize their maladaptive effects.

This paper discusses the role of cultural anthropology in Cognitive Science. Culture is described as a very large pool of information passed along from generation to generation, composed of learned “programs” for action and understanding. These cultural programs differ in important ways from computer programs. Cultural programs tend to be unspecified and inexplicit rather than clearly stated algorithms learned through a slow process of guided discovery, and involve the manipulation of content based rather than formal symbol systems. Cultural symbol systems (...) often have affective as well as objective referents, giving them a strong directive effect. The argument is made that in the process of repeated social transmission and use, cultural programs come to take forms which have a good “fit” to the natural capacities and constraints of the human information processing system. (shrink)

This paper discusses the role of cultural anthropology in Cognitive Science. Culture is described as a very large pool of information passed along from generation to generation, composed of learned “programs” for action and understanding. These cultural programs differ in important ways from computer programs. Cultural programs tend to be unspecified and inexplicit rather than clearly stated algorithms learned through a slow process of guided discovery, and involve the manipulation of content based rather than formal symbol systems. Cultural symbol systems (...) often have affective as well as objective referents, giving them a strong directive effect. The argument is made that in the process of repeated social transmission and use, cultural programs come to take forms which have a good “fit” to the natural capacities and constraints of the human information processing system. (shrink)

The doctrine of double effect is a moral principle that distinguishes between harm we cause as a means to an end and harm that we cause as a side-effect. As a purely descriptive matter, the DDE is well established that it describes a consistent feature of human moral judgment. There are, however, several rival theories of its psychological cause. I review these theories and consider their advantages and disadvantages. Critically, most extant psychological theories of the DDE regard it as an (...) accidental byproduct of cognitive architecture. This may provide philosophers with some reason to question its normative significance. (shrink)

Digital technology is rapidly transforming human life. But our cognition is honed for an analog world. I call this the problem of digital whiplash: that the digital transformation of society, like a vehicle whose sudden acceleration injures its occupants, is too fast to be safe. I focus on the unprecedented phenomenon of digital surveillance, which I argue poses a long-term threat to human autonomy that our cognition is ill-suited to recognize or respond to. Human cognition is embodied and context-sensitive, and (...) thus faces four problems of digital whiplash vis-à-vis digital surveillance. First is the problem of signal sparsity, that there are few if any perceptible indications of digital surveillance. Second is the problem of signal elusiveness, that the few indications there are prohibitively difficult to discover. Third is the distraction problem, that using digital technologies corrodes the cognitive abilities we need to recognize and respond to digital surveillance. Fourth is the hooking problem, that digital technologies are engineered to cultivate dependency. I address, among other objections, the idea that we choose to exchange our privacy for the use of digital technologies, so their use is in fact an expression of autonomy. The response to digital whiplash, I argue, is not to slow down the digitalization of society in its current form so that we can adapt our cognitive capacities. It is to allow ourselves the time to reflect on and debate whether digitalization, in its current form, is delivering a socially and ethically desirable future. (shrink)

In this article the question is raised whether artificial intelligence has any psychological relevance, i.e. contributes to our knowledge of how the mind/brain works. It is argued that the psychological relevance of artificial intelligence of the symbolic kind is questionable as yet, since there is no indication that the brain structurally resembles or operates like a digital computer. However, artificial intelligence of the connectionist kind may have psychological relevance, not because the brain is a neural network, but because connectionist networks (...) exhibit operating characteristics which mimic operant behavior. Finally it is concluded that, since most of the work done so far in AI and Law is of the symbolic kind, it has as yet contributed little to our understanding of the legal mind. (shrink)

Evidence affirms that aesthetic engagement patterns our movements, often with us barely aware. This invites an examination of pre-reflective engagement within cities and also aesthetic experience as a form of the pre-reflective. The invitation is amplified because design has political implications. For instance, it can draw people in or exclude them by establishing implicitly recognized public-private boundaries. The Value Sensitive Design school, which holds that artifacts embody ethical and political values, stresses some of this. But while emphasizing that design embodies (...) implicit values, research in this field lacks sustained attention to largely unconscious background biases or values, rooted in cultural attitudes and personal interests, that lead theorists and planners—often too narrowly—to promote design organized around specific values such as defensibility. In examining these points, I draw on J. J. Gibson, a central figure for some writing on aesthetics and cities, and whom pragmatists and phenomenologists in turn influenced. Taking a cue from pragmatists in particular, I argue Gibson’s perceptual theory of affordances entails a theory of values, meaning our perception and therewith movements are inherently value-based. I advocate design that accounts for relatively constantly held values such as safety, while also handling the vast pluralism that exists and not crushing the aesthetic vibrancy of city life. (shrink)

A fundamental goal of linguistic theory is to explain how natural languages are acquired. This paper describes some recent findings on how learners acquire syntactic knowledge for which there is little, if any, decisive evidence from the environment. The first section presents several general observations about language acquisition that linguistic theory has tried to explain and discusses the thesis that certain linguistic properties are innate because they appear universally and in the absence of corresponding experience. A third diagnostic for innateness, (...) early emergence, is the focus of the second section of the paper, in which linguistic theory is tested against recent experimental evidence on children's acquisition of syntax. (shrink)

Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large – it is the space of applicable Turing machines. As a result, mappings that pivot on such attenuated regularities cannot, in general, be found by brute-force search. The class of problems that present such mappings we call the class of “type-2 problems.” Type-1 problems, by (...) contrast, present tractable problems of search insofar as the relevant regularities can be found by sampling the input data as originally coded. Type-2 problems, we suggest, present neither rare nor pathological cases. They are rife in biologically realistic settings and in domains ranging from simple animat behaviors to language acquisition. Not only are such problems rife – they are standardly solved! This presents a puzzle. How, given the statistical intractability of these type-2 cases, does nature turn the trick? One answer, which we do not pursue, is to suppose that evolution gifts us with exactly the right set of recoding biases so as to reduce specific type-2 problems to type-1 mappings. Such a heavy-duty nativism is no doubt sometimes plausible. But we believe there are other, more general mechanisms also at work. Such mechanisms provide general strategies for managing problems of type-2 complexity. Several such mechanisms are investigated. At the heart of each is a fundamental ploy – namely, the maximal exploitation of states of representation already achieved by prior, simpler learning so as to reduce the amount of subsequent computational search. Such exploitation both characterizes and helps make unitary sense of a diverse range of mechanisms. These include simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription”. In addition, the most distinctive features of human cognition – language and culture – may themselves be viewed as adaptations enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)