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)

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.

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)

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.

Establishes the importance of Husserl's phenomenology for Levinas's ethics.

What can we learn from reading Levinas alongside postcolonial theories of difference? With that question in view, Drabinski undertakes readings of Gayatri Spivak, Homi Bhabha, Edouard Glissant, and Subcommandante Marcos in order to rethink ideas of difference, language, subjectivity, ethics, and politics. Through these philosophical readings, he gives a new perspective on the work of these important postcolonial theorists and helps make Levinas relevant to other disciplines concerned with postcolonialism and ethics.

This book is a volume in the Penn Press Anniversary Collection. To mark its 125th anniversary in 2015, the University of Pennsylvania Press rereleased more than 1,100 titles from Penn Press's distinguished backlist from 1899-1999 that had fallen out of print. Spanning an entire century, the Anniversary Collection offers peer-reviewed scholarship in a wide range of subject areas.

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.

Examines Adam Smith's main principles in Wealth of Nations as the basis for effective policymaking. Adam Smith proposed several principles that would help mitigate or eliminate some of the problems we face as a nation today. Many assume that our current laissez-faire capitalism applies his principles. But, in contrast to the libertarianism of the United States, Smith's recipe to increase everyone's wealth and happiness was justice, liberty, and equality. This book examines Adam Smith's main principles in Wealth of Nations as (...) the basis for effective policymaking. Adam Smith wanted to increase happiness through this formula for a good life: equality, liberty, and justice. Free market interpretations of Smith, the book argues, grossly misrepresent his thought, emphasizing only liberty and not also equality and justice. This book suggests policies that combine all three in order for happiness to be maximized. (shrink)

Extols the virtue of small liberal arts colleges and the liberal arts tradition.

In dialogue with key theorists of catastrophe and trauma--including Aimé Césaire, Frantz Fanon, George Lamming, Gilles Deleuze, Félix Guattari, Derek Walcott, as well as key figures in Holocaust studies--Glissant and the Middle Passage hones a sharp sense of the specifically Caribbean varieties of loss, developing them into a transformative philosophical idea. Using the Plantation as a critical concept, John E. Drabinski creolizes notions of rhizome and nomad, examining what kinds of aesthetics grow from these roots and offering reconsiderations of (...) what constitutes intellectual work and cultural production.Glissant and the Middle Passage establishes Glissant's proper place as a key theorist of ruin, catastrophe, abyss, and memory. Identifying his insistence on memories and histories tied to place as the crucial geography at the heart of his work, this book imparts an innovative new response to the specific historical experiences of the Middle Passage. - from the publisher. (shrink)

Spanning 1200 years of intellectual history – from the 6th century BCE emergence of philosophical enquiry in the Greek city-state of Miletus, to the 6th century CE closure of the Academy in Athens in 529 – Philosophy of Mind in Antiquity provides an outstanding survey of philosophy of mind of the period. It covers a crucial era for the history of philosophy of mind, examining the enduring and controversial arguments of Plato and Aristotle, in addition to the contribution of the (...) Stoics and other key figures. Following an introduction by John Sisko, fifteen specially commissioned chapters by an international team of contributors discuss key topics, thinkers, and debates, including: the Presocratics, Plato, cognition, Aristotle, intellect, natural science, time, mind, perception, and body, the Stoics, Galen, and Plotinus. Essential reading for students and researchers in philosophy of mind, ancient philosophy, and the history of philosophy, Philosophy of Mind in Antiquity is also a valuable resource for those in related disciplines such as Classics. (shrink)

This book, first published in 1990, takes a critical look at the major assumptions which support critical thinking programs and discovers many unresolved questions which threaten their viability. John McPeck argues that some of these assumptions are incoherent or run counter to common sense, while others are unsupported by the available empirical evidence. This title will be of interest to students of the philosophy of education.

John Stapleford interacts with seven standard introductory economics texts to show how ethics are inextricably intertwined with economic life and analysis. This revised and expanded edition includes discussions of entitlements, global poverty, government debt, healthcare reform and immigration reform.

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 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)

The evolution of life on Earth has produced an organism that is beginning to model and understand its own evolution and the possible future evolution of life in the universe. These models and associated evidence show that evolution on Earth has a trajectory. The scale over which living processes are organized cooperatively has increased progressively, as has its evolvability. Recent theoretical advances raise the possibility that this trajectory is itself part of a wider developmental process. According to these theories, the (...) developmental process has been shaped by a yet larger evolutionary dynamic that involves the reproduction of universes. This evolutionary dynamic has tuned the key parameters of the universe to increase the likelihood that life will emerge and produce outcomes that are successful in the larger process (e.g. a key outcome may be to produce life and intelligence that intentionally reproduces the universe and tunes the parameters of ‘offspring’ universes). Theory suggests that when life emerges on a planet, it moves along this trajectory of its own accord. However, at a particular point evolution will continue to advance only if organisms emerge that decide to advance the developmental process intentionally. The organisms must be prepared to make this commitment even though the ultimate nature and destination of the process is uncertain, and may forever remain unknown. Organisms that complete this transition to intentional evolution will drive the further development of life and intelligence in the universe. Humanity’s increasing understanding of the evolution of life in the universe is rapidly bringing it to the threshold of this major evolutionary transition. (shrink)