People are habitual explanation generators. At its most mundane, our propensity to explain allows us to infer that we should not drink milk that smells sour; at the other extreme, it allows us to establish facts (e.g., theorems in mathematical logic) whose truth was not even known prior to the existence of the explanation (proof). What do the cognitive operations underlying the inference that the milk is sour have in common with the proof that, say, the square root of two (...) is irrational? Our ability to generate explanations bears striking similarities to our ability to make analogies. Both reflect a capacity to generate inferences and generalizations that go beyond the featural similarities between a novel problem and familiar problems in terms of which the novel problem may be understood. However, a notable difference between analogy-making and explanation-generation is that the former is a process in which a single source situation is used to reason about a single target, whereas the latter often requires the reasoner to integrate multiple sources of knowledge. This seemingly small difference poses a challenge to the task of marshaling our understanding of analogical reasoning to understanding explanation. We describe a model of explanation, derived from a model of analogy, adapted to permit systematic violations of this one-to-one mapping constraint. Simulation results demonstrate that the resulting model can generate explanations for novel explananda and that, like the explanations generated by human reasoners, these explanations vary in their coherence. (shrink)

Ramscar and colleagues (2010, this volume) describe the “feature-label-order” (FLO) effect on category learning and characterize it as a constraint on symbolic learning. I argue that FLO is neither a constraint on symbolic learning in the sense of “learning elements of a symbol system” (instead, it is an effect on nonsymbolic, association learning) nor is it, more than any other constraint on category learning, a constraint on symbolic learning in the sense of “solving the symbol grounding problem.”.

Schyns, Goldstone & Thibaut argue that categorization experience results in the learning of new perceptual features that are not derivable from the learner's existing feature set. We explore the meaning and implications of this “nonderivability” claim and relate it to the question of whether perceptual invariants are learnable, and if so, what might be entailed in learning them.

Page argues convincingly for several important properties of localist representations in connectionist models of cognition. I argue that another important property of localist representations is that they serve as the starting point for connectionist representations of symbolic (relational) structures because they express meaningful properties independent of one another and their relations.

Humans, including preschool children, exhibit role-based relational reasoning, of which analogical reasoning is a canonical example. The connectionist model proposed in the target article is only capable of conditional paired-associate learning.

Theories of relational concept acquisition based on structured intersection discovery predict that relational concepts with a probabilistic structure ought to be extremely difficult to learn. We report four experiments testing this prediction by investigating conditions hypothesized to facilitate the learning of such categories. Experiment 1 showed that changing the task from a category-learning task to choosing the “winning” object in each stimulus greatly facilitated participants' ability to learn probabilistic relational categories. Experiments 2 and 3 further investigated the mechanisms underlying this (...) “who's winning” effect. Experiment 4 replicated and generalized the “who's winning” effect with more natural stimuli. Together, our findings suggest that people learn relational concepts by a process of intersection discovery akin to schema induction, and that any task that encourages people to discover a higher order relation that remains invariant over members of a category will facilitate the learning of putatively probabilistic relational concepts. (shrink)

Theories of analogical reasoning have viewed relational structure as the dominant determinant of analogical mapping and inference, while assigning lesser importance to similarity between individual objects. An experiment is reported in which these two sources of constraints on analogy are placed in competition under conditions of high relational complexity. Results demonstrate equal importance for relational structure and object similarity, both in analogical mapping and in inference generation. The human data were successfully simulated using a computational analogy model (LISA) that treats (...) both relational correspondences and object similarity as soft constraints that operate within a limited-capacity working memory; but not with a model (SME) that treats relational structure as pre-eminent. (shrink)

Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job in predicting (...) brain signals in response to images taken from various brain datasets (e.g., single cell responses or fMRI data). However, these behavioral and brain datasets do not test hypotheses regarding what features are contributing to good predictions and we show that the predictions may be mediated by DNNs that share little overlap with biological vision. More problematically, we show that DNNs account for almost no results from psychological research. This contradicts the common claim that DNNs are good, let alone the best, models of human object recognition. We argue that theorists interested in developing biologically plausible models of human vision need to direct their attention to explaining psychological findings. More generally, theorists need to build models that explain the results of experiments that manipulate independent variables designed to test hypotheses rather than compete on making the best predictions. We conclude by briefly summarizing various promising modeling approaches that focus on psychological data. (shrink)

van der Velde & de Kamps argue for the importance of considering the binding problem in accounts of human mental representation. However, their proposed solution fails as a complete account because it represents the bindings between roles and their fillers through associations (or connections). In addition, many criticisms leveled by the authors towards synchrony-based bindings models do not hold.

We are big fans of propositions. But we are not big fans of the proposed by Mitchell et al. The authors ignore the critical role played by implicit, non-inferential processes in biological cognition, overestimate the work that propositions alone can do, and gloss over substantial differences in how different kinds of animals and different kinds of cognitive processes approximate propositional representations.

On several key issues we agree with the commentators. Perhaps most importantly, everyone seems to agree that psychology has an important role to play in building better models of human vision, and (most) everyone agrees (including us) that deep neural networks (DNNs) will play an important role in modelling human vision going forward. But there are also disagreements about what models are for, how DNN–human correspondences should be evaluated, the value of alternative modelling approaches, and impact of marketing hype in (...) the literature. In our view, these latter issues are contributing to many unjustified claims regarding DNN–human correspondences in vision and other domains of cognition. We explore all these issues in this response. (shrink)

Theories of analogical reasoning have assumed that a 1‐to‐1 constraint discourages reasoners from mapping a single element in 1 analog to multiple elements in another. Empirical evidence suggests that reasoners sometimes appear to violate the one‐to‐one constraint when asked to generate mappings, yet virtually never violate it when asked to generate analogical inferences. However, few studies have examined analogical inferences based on nonisomorphic analogs, and their conclusions are suspect due to methodological problems. We sought to elicit mixed inferences that could (...) result from combining information from 2 possible mappings. Participants generated 2‐to‐1 correspondences when asked for explicit mappings, but did not produce mixed inferences. Multiple correspondences appear to arise from multiple isomorphic mappings, rather than from a single homomorphic mapping. (shrink)

Despite the title, I do not intend to launch another expedition into the domain of epistemology. I wish instead to call attention to some problems which have arisen for philosophical theologians and philosophers of religion, as a result of two facts about the development of modern philosophy and its bearing on the analysis and interpretation of religious insight. Following these considerations, I shall propose in brief compass a programme for the future which I believe will prove fruitful for the philosophical (...) treatment of religious concerns. (shrink)

The popular belief that religion is the same everywhere or that all religions are ‘at bottom’ identical in essentials is a widespread falsehood that is saved from being completely worthless by the fact that religion does exhibit a universal or common structure wherever it appears. This structure is intimately related to the structure of human life in the world. The enduring pattern that enables us to understand religions widely separated in both time and space depends largely on the fact that (...) man and the process of human life in the world have their own structures which remain, despite the undeniable variety introduced by vast differences of culture, ethnic features, geographical location, climate etc. Structure means pattern or form; it is reality significantly organised. It can be grasped as that which endures above and beyond changing historical details. Because human life has a structure, we are able to understand the wrath of Achilles or sympathise with the love of Abélard for Héloïse although we are separated from both by centuries of time. (shrink)

This article summarizes a variety of current as well as previous research in support of a new theory of consciousness. Evidence has been steadily accumulating that information about a stimulus complex is distributed to many neuronal populations dispersed throughout the brain and is represented by the departure from randomness of the temporal pattern of neural discharges within these large ensembles. Zero phase lag synchronization occurs between discharges of neurons in different brain regions and is enhanced by presentation of stimuli. This (...) evidence further suggests that spatiotemporal patterns of coherence, which have been identified by spatial principal component analysis, may encode a multidimensional representation of a present or past event. How such distributed information is integrated into a holistic percept constitutes the binding problem. How a percept defined by a spatial distribution of nonrandomness can be subjectively experienced constitutes the problem of consciousness. Explanations based on a discrete connectionistic network cannot be reconciled with the relevant facts. Evidence is presented herein of invariant features of brain electrical activity found to change reversibly with loss and return of consciousness in a study of 176 patients anesthetized during surgical procedures. A review of relevant research areas, as well as the anesthesia data, leads to a postulation that consciousness is a property of quantumlike processes, within a brain field resonating within a core of structures, which may be the neural substrate of consciousness. This core includes regions of the prefrontal cortex, the frontal cortex, the pre- and paracentral cortex, thalamus, limbic system, and basal ganglia. (shrink)

This essay seeks to link management action with business ethics. It utilizes two conceptual models of decision making to examine the important processes of information gathering and information processing. This analysis is then related to the ethical aspects of a business decision to help explain differences in the selection of ethical criteria.

In the first comprehensive biography of Ferdinand de Saussure, John E. Joseph restores the full character and history of a man who is considered the founder of modern linguistics and whose ideas have influenced literary theory, philosophy, cultural studies, and virtually every other branch of humanities and the social sciences.

Introduction Marxism is a set of ideas from which sprang particular approaches to economics, sociology, anthropology, political theory, literature, art, ...

Is morality too difficult for human beings? Kant said that it was, except with God's assistance. Contemporary moral philosophers have usually discussed the question without reference to Christian doctrine, and have either diminished the moral demand, exaggerated human moral capacity, or tried to find a substitute in nature for God's assistance. This book looks at these philosophers--from Kant and Kierkegaard to Swinburne, Russell, and R.M. Hare--and the alternative in Christianity.

This is an essay in personal business ethics of executives as distinguished from the institutional ethics of corporations. Its purpose is to give practical moral guidance to executives for the conduct of their lives both as corporate decision-makers and as human beings. The pivotal concept in this model of personal business ethics is a direct appeal to the self-interest of executives in their being moral.Our thesis is that generally there is a twofold return on investment in ethics (ROIE) for executives. (...) The first one is related to employee output: by becoming a self-actualizing moral type, executives indicate commitment to excellence. Accordingly, they so manage employees that the latter can also live up to their full potential and excell. And that would increase corporate productivity and product or service quality. The second payback of morality is personal: fully developed, self-actualized managers are generally happier people than those whose growth has been arrested. In brief, moral self-actualization is the same as commitment to excellence and there is a payback in being the best. Return on investment in ethics and return on investment in excellence can both be abbreviated as ROIE. (shrink)

This article explores the rhetoric, and mass mediation, of the national Holocaust Memorial Day commemoration ceremony, as broadcast on British television. I argue that the televised national ceremonies should be approached as an example of multi-genre epideictic rhetoric, working up meanings through a hybrid combination of genres, author/animators and modes. Epideictic rhetoric has often been depreciated as simply ceremonial ‘praise or blame’ speeches. However, given that the topics of praise/blame assume the existence of social norms, epideictic also acts to presuppose (...) and evoke common values, in general, and a collective recognition of shared social responsibilities, in particular. My methodology draws on the Discourse-Historical Approach to Critical Discourse Analysis, given, first, its central prominence in analysing argumentative strategies in discourse and, second, the ways it facilitates a reflexive ‘shuttling’ between text-discursive features, intertextual relations and wider contexts of society and history. Here, I examine how a catastrophic past is invoked in speech and evoked through image and music, in response to the demands that uncertainty of the future ‘places upon one’s conscience’. (shrink)