Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when, and how they emerge. It is a natural assumption that modularity offers some form of computational advantage, and hence evolution by natural selection has translated those advantages into the kind of modular neural structures familiar to cognitive scientists. However, simulations of the evolution of simplified neural systems have shown that, in many cases, it is actually non-modular architectures that (...) are most efficient. In this paper, the relevant issues are discussed and a series of simulations are presented that reveal crucial dependencies on the details of the learning algorithms and tasks that are being modelled, and the importance of taking into account known physical brain constraints, such as the degree of neural connectivity. A pattern is established which provides one explanation of why modularity should emerge reliably across a range of neural processing tasks. (shrink)

A number of single- and dual-process theories provide competing explanations as to how reasoners evaluate conditional arguments. Some of these theories are typically linked to different instructions—namely deductive and inductive instructions. To assess whether responses under both instructions can be explained by a single process, or if they reflect two modes of conditional reasoning, we re-analysed four experiments that used both deductive and inductive instructions for conditional inference tasks. Our re-analysis provided evidence consistent with a single process. In two new (...) experiments we established a double dissociation of deductive and inductive instructions when validity and plausibility of conditional problems were pitted against each other. This indicates that at least two processes contribute to conditional reasoning. We conclude that single-process theories of conditional reasoning cannot explain the observed results. Theories that postulate at least two processes are needed to account for our findings. (shrink)

Although cognitive scientists have learned a lot about concepts, their findings have yet to be organized in a coherent theoretical framework. In addition, after twenty years of controversy, there is little sign that philosophers and psychologists are converging toward an agreement about the very nature of concepts.Doing without Concepts(Machery 2009) attempts to remedy this state of affairs. In this article, I review the main points and arguments developed at greater length inDoing without Concepts.

Os tópicos e problemas filosóficos discutidos no volume são de natureza bastante variada: a natureza da complexidade computacional no processamento de uma língua natural; a relação entre o significado linguístico e o sentido Fregeano; as conexões entre a a agência e o poder; o conteúdo semântico da ficção; a explicação dos impasses éticos; a natureza dos argumentos cépticos; as conexões entre as dissociações cognitivas e o carácter modular da mente; a relação entre a referência e o significado. Estes tópicos deixam-se (...) subsumir num tema mais geral, o tema das ligações múltiplas entre a cognição e o conteúdo, mental ou linguístico. O tópico do conteúdo, a questão de determinar como é que muitas das nossas elocuções e muitos dos nossos estados mentais são dotados de conteúdo, representam algo (correcta ou incorrectamente), e o tópico da cognição, a investigação da natureza e dos mecanismos envolvidos na cognição humana, no processamento de informação tipicamente proveniente do exterior, são inegavelmente tópicos centrais da investigação filosófica, presente ou passada.Dado o carácter inclusivo e pluridisciplinar dos tópicos cobertos, não é surpreendente que os ramos da Filosofia representados no presente volume sejam igualmente diversificados: a Filosofia Moral, a Filosofia da Linguagem, a Teoria do Conhecimento, a Filosofia da Mente, os Fundamentos da Ciência Cognitiva. E também não é surpreendente que nele também estejam representados outros ramos do conhecimento cuja relevância para o estudo do conteúdo e da cognição é conspícua: a Psicologia Cognitiva; a Linguística Computacional e a Inteligência Artificial. Os autores dos ensaios são de proveniências diversas. De um lado, há um conjunto de especialistas nacionais a trabalhar na tradição analítica em Filosofia, como João Branquinho, ou a trabalhar em algumas áreas filosoficamente importantes da Ciência Cognitiva, como António Branco (Processamento da Língua Natural), José Frederico Marques (Psicologia Cognitiva) e Helder Coelho (Inteligência Artificial). Do outro lado, há um conjunto de especialistas estrangeiros de elevada reputação internacional: Allan Gibbard, da Universidade de Michigan, autor de livros influentes na área da Ética e Filosofia Moral; Stephen Schiffer, da New York University, uma das principais figuras actuais da Filosofia da Linguagem e da Semântica Geral; Paolo Leonardi, da Universidade de Bolonha, um especialista nas áreas da Filosofia da Linguagem e Filosofia da Comunicação; e Manuel García-Carpintero, da Universidade de Barcelona, um dos grandes vultos da Filosofia Analítica praticada em Espanha e na Europa Continental. (shrink)

Some argue the common practice of inferring multiple processes or systems from a dissociation is flawed. One proposed solution is state-trace analysis, which involves plotting, across two or more conditions of interest, performance measured by either two dependent variables, or two conditions of the same dependent measure. The resulting analysis is considered to provide evidence that either a single process underlies performance or there is evidence for more than one process. This article reports simulations using the simple recurrent network in (...) which changes to the learning rate produced state-trace plots with multiple functions. We also report simulations using a single-layer error-correcting network that generate plots with a single function. We argue that the presence of different functions on a state-trace plot does not necessarily support a dual-system account, at least as typically defined ; it can also indicate variation in a single parameter within theories generally considered to be single-system accounts. (shrink)

The affect-as-information (AAI) model proposes that emotions influence the accessibility and value of information (Avramova & Inbar, Citation2013). Furthermore, according to the dual-process model of moral judgement, emotions and cognition influence moral judgement (Greene, Citation2007; Greene et al., Citation2001, Citation2008); however, there is no direct evidence of a causal chain to support this model’s proposition. By using a 3 (emotions: positive vs. neutral vs. negative) × 2 (primed rule: save lives vs. do not kill) between-participants design, we examined two hypotheses (...) in two experiments: supraliminal (Experiment 1) and subliminal (Experiment 2) priming. Our results partially supported the AAI model and confirmed that emotions and cognition independently influence moral judgement. Specifically, the positive emotions group made more utilitarian decisions after being primed with the “save lives” rule and more deontological decisions after being primed with the do not kill rule. However, priming did not affect moral judgement in the negative emotion condition. Further, irrespective of whether priming was done, the negative emotion group mostly made utilitarian decisions. Accordingly, we propose a dynamic dual-process model of moral judgement, that can help clarify how emotion and cognition influence moral judgement. (shrink)

In the visual system, the represented features of individual objects (shape, colour, movement, and so on) are distributed both in space and time within the brain. Representations of inner and outer event sequences arrive through different sense organs at different times, and are likewise distributed. Objects are nevertheless perceived as integrated wholes - and event sequences are experienced to form a coherent "consciousness stream." In their thoughtful article, Dennett & Kinsbourne ask how this is achieved.

Brain damage may doubly dissociate cognitive modules, but the practice of revealing dissociations is predicated on modularity being true (T. Shallice, 1988). This article questions the utility of assuming modularity, as it examines a paradigmatic double dissociation of reading modules. Reading modules illustrate two general problems. First, modularity fails to converge on a fixed set of exclusionary criteria that define pure cases. As a consequence, competing modular theories force perennial quests for purer cases, which simply perpetuates growth in the list (...) of exclusionary criteria. The first problem leads, in part, to the second problem. Modularity fails to converge on a fixed set of pure cases. The second failure perpetuates unending fractionation into more modules. (shrink)

Three experiments investigated whether a motor-linked measure (string typing speed) and an judgment-linked measure (grammatical judgment of strings) accessed the same implicit learning mechanisms in the artificial grammar learning task. Participants first studied grammatical strings through observation or through responding to each letter by typing it and then performed typing and grammatical judgment tests. Grammatical judgment test performance was better after observation than after respond learning, whereas typing test performance on higher order relations was worse after observation than after respond (...) learning (Experiment 1). Participants transferred grammatical knowledge across letter sets on the grammatical judgment test, but not on the typing test (Experiment 2). Typing speed did not differ for hits (grammatical strings classified by participants as grammatical) and misses (grammatical strings classified as nongrammatical, Experiment 3). These results are consistent with typing and grammatical judgment tests tapping independent mechanisms and indicate that implicit learning may consist of many different forms of learning rather than being a unitary learning mechanism. (shrink)