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.

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)

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.

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)

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 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)

The fundamental relations that underlie cognitive comparisons—“same” and “different”—can be defined at multiple levels of abstraction, which vary in relational complexity. We compared response times to decide whether or not two sequentially‐presented patterns, each composed of two pairs of colored squares, were the same at three levels of abstraction: perceptual, relational, and system (higher order relations). For both 150 ms and 5 s inter‐stimulus intervals (ISIs), both with and without a masking stimulus, decision time increased with level of abstraction. Sameness (...) at lower complexity levels contributed to decisions based on the higher levels. The pattern of comparison times across levelswas not predictable solely from encoding times. The results indicated that relations at multiple levels of complexity can be abstracted and compared in working memory, with higher complexity levels requiring more processing time. We simulated the impact of relational complexity on response time using Learning and Inference with Schemas and Analogies (LISA), a computational model of relational comparisons based on dynamic binding of elements into roles in a relational working memory. (shrink)

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.

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.

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.

In this carefully crafted volume, Michael Kort describes the wartime circumstances and thinking that form the context for the decision to use these weapons, surveys the major debates related to that decision, and provides a comprehensive ...

As a work of a scholarship it seems to me to compare favourably with the best books on the subject, including those by Marcus Singer and Onora Nell.' Prof.

Examines Arthur Schopenhauer's (1788-1860) conception of human agency and responsibility, his unique ethics of the morally virtuous character, and his assessment of life as fundamentally suffering. This title focuses on his contention that the human will and the human body cannot have a cause and effect relationship with each other.

We present a simple distributed concept that appears to insinuate SWARM behavior in a collection of mobile platforms. The control is based on the inter-mobile platform communication links’ signal-to-noise ratio. This double use of communications is a natural linkage for SWARM behavior.

Well and Good presents a combination of "classic" and little-known but real-life cases. Included are a range of cases involving nurses and other health professionals as well as many involving doctors. The cases in the main body of the book are accompanied by the editors' impartial discussions of the issues involved. The final section is comprised of unanalysed cases for further study. For the new edition, the introduction has been expanded to include discussions of feminist bioethics and of virtue ethics, (...) alongside the Kantian, Rossian and utilitarian frameworks discussed in previous editions. Most of the existing cases have been updated to reflect these additional foci, and four analysed cases have been added. Several cases have been added to the group of unanalysed cases, which now includes questions for discussion. Among cases new to this edition are the "mercy killing" case of Robert Latimer, the assisted suicide of Sue Rodriguez, the pregnancy solvent-abuse case of Ms. G., and a case involving sex-selection and abortion on gender grounds. (shrink)

In response to Charles Taylor's book "Sources of the Self: The Making of the Modern Identity," Becker defends the Western view of ethical conceptions based on our unique identity, reasoning, and historical heritage.

This article, taking a social semiotic approach, analyses two pieces of music written, shared and exalted by two pre-1945 European fascist movements – the German NSDAP and the British Union of Fascists. These movements, both political and cultural, employed mythologies of unity, common identity and purpose in order to elide the realities of social distinction and political–economic inequalities between bourgeois and proletarian groups in capitalist societies. Visually and inter-personally, the fascist cultural project communicated a machine-like certainty about a vision for (...) a new society based on discipline, conformity and the might of the nation. In this article, we are interested in the ways that these very same discourses are also communicated through sound and music in two songs: The Horst Wessel Lied and the BUF marching song, two songs that used the same melody. We analyse the discourses communicated by the semiotic choices made in melody, arrangements, sound qualities, rhythms as well as in lyrics. The article first identifies some of the underlying semiotic resources for meaning making in sound and then shows how these are used in order to communicate specific ideas, values and attitudes. (shrink)