As an important component to promote the development of affective brain–computer interfaces, the study of emotion recognition based on electroencephalography (EEG) has encountered a difficult challenge; the distribution of EEG data changes among different subjects and at different time periods. Domain adaptation methods can effectively alleviate the generalization problem of EEG emotion recognition models. However, most of them treat multiple source domains, with significantly different distributions, as one single source domain, and only adapt the cross-domain marginal distribution while (...) ignoring the joint distribution difference between the domains. To gain the advantages of multiple source distributions, and better match the distributions of the source and target domains, this paper proposes a novel multi-source joint domain adaptation (MSJDA) network. We first map all domains to a shared feature space and then align the joint distributions of the further extracted private representations and the corresponding classification predictions for each pair of source and target domains. Extensive cross-subject and cross-session experiments on the benchmark dataset, SEED, demonstrate the effectiveness of the proposed model, where more significant classification results are obtained on the more difficult cross-subject emotion recognition task. (shrink)

The influence of movement skill on action representations and identification of agency was investigated. Point-light displays were created of highly skilled gestures of thirteen orchestral conductors in visual, auditory, and audiovisual versions and compared to two control conditions . In subsequent experimental sessions, participants indicated whether displays presented them or other conductors, whether the soundtrack contained their or others’ musical interpretations, and rated the quality and emotional content of the gestures. Self-recognition was more accurate in conditions presenting highly skilled (...) conducting movements as compared to other displays. Participants judged the quality of their own movements to be better than those of others, independently of whether or not they recognized movement agency. Emotional content was perceived accurately across conditions both for own and others’ actions. These results point to the influence of dynamical characteristics of motor skill, rather than merely type of movement or emotional content, on action representations and self-other identification. (shrink)

differentiaily rated pairwise similarity when confronted with two pairs of objects, each revolving in a separate window on a computer screen. Subject data were pooled using individually weighted MDS (ref. 11; in all the experiments, the solutions were consistent among subjects). In each trial, the subject had to select among two pairs of shapes the one consisting of the most similar shapes. The subjects were allowed to respond at will; most responded within 10 sec. Proximity (that is, perceived similarity) tables (...) derived from the judgments were processed to verify their degree of transitivity (4% of all triplets were found intransitive) and then submitted to MDS. In the long-term memory (LTM) variant of this experiment, the subjects were first trained to associate a label (a three-letter nonsensical string, such as "BON" or "POM") with each object and then carried out the pairs of pairs comparison task from memory, prompted by the object labels rather than by the objects themselves. Six subjects participated in each of the two LTM experiments (Star and Triangle). The subjects were taught each shape in a separate session and had to discriminate between that shape and six similar nontargets from various viewpoints. Training continued until the recognition rate reached 90%, over a period of several days. The subjects were never exposed to more than one target in one session and were not told the ultimate purpose of the experiment. After 2 to 3 days of rest, they were tested with questions such as: "is the BON more similar to POM than TOC to ROX?", for all pairs of pairs of stimuli. In the LTM experiments, 8% of the.. (shrink)

To organise future behaviour, it is important to remember both the central and contextual aspects of a situation. We examined the impact of contextual threat or safety, learned through verbal instructions, on face identity recognition. In two studies (N = 140), 72 face–context compounds were presented each once within an encoding session, and an unexpected item/source recognition task was performed afterwards (including 24 new faces). Hierarchical multinomial processing tree modelling served to estimate individual parameters of item (face (...) identity) and source memory (threat or safety context) as well as guessing behaviour. Results show that language was highly effective in establishing threatening and safe context conditions. In Study 1, a fleeting picture stream (1 s per picture) led to poor item and source recognition. Prolonged presentation times (Study 2 with 6 s per picture) improved face memory but no contextual modulation was observed. Thus, incidental face learning was surprisingly poor and rapidly changing contextual settings might have interfered with the accurate encoding of face identity information and item–source binding. (shrink)

In our current society hope can seep impossible, troubles frequently feel all around us. Becoming Real offers reasonable and thoughtful ideas on integrating everyday reality with authenticity.

Background: This study developed a photo and video database of 4-to-6-year-olds expressing the seven induced and posed universal emotions and a neutral expression. Children participated in photo and video sessions designed to elicit the emotions, and the resulting images were further assessed by independent judges in two rounds. Methods: In the first round, two independent judges, experts in the Facial Action Coding System, firstly analysed 3,668 emotions facial expressions stimuli from 132 children. Both judges reached 100% agreement regarding 1,985 stimuli, (...) which were then selected for a second round of analysis between judges 3 and 4. Results: The result was 1,985 stimuli were produced from 124 participants. A Kappa index of 0.70 and an accuracy of 73% between experts were observed. Lower accuracy was found for emotional expression by 4-year-olds than 6-year-olds. Happiness, disgust and contempt had the highest agreement. After a sub-analysis evaluation of all four judges, 100% agreement was reached for 1,381 stimuli which compound the ChildEFES database with 124 participants and 51% induced photographs. The number of stimuli of each emotion were: 87 for neutrality, 363 for happiness, 170 for disgust, 104 for surprise, 152 for fear, 144 for sadness, 157 for anger 157, and 183 for contempt. Conclusions: The findings show that this photo and video database can facilitate research on the mechanisms involved in early childhood recognition of facial emotions in children, contributing to the understanding of facial emotion recognition deficits which characterise several neurodevelopmental and psychiatric disorders. (shrink)

Objective: Tangent Space Mapping using the geometric structure of the covariance matrices is an effective method to recognize multiclass motor imagery. Compared with the traditional CSP method, the Riemann geometric method based on TSM takes into account the nonlinear information contained in the covariance matrix, and can extract more abundant and effective features. Moreover, the method is an unsupervised operation, which can reduce the time of feature extraction. However, EEG features induced by MI mental activities of different subjects are not (...) the same, so selection of subject-specific discriminative EEG frequency components play a vital role in the recognition of multiclass MI. In order to solve the problem, a discriminative and multi-scale filter bank tangent space mapping algorithm is proposed in this article to design the subject-specific Filter Bank so as to effectively recognize multiclass MI tasks. Methods: On the 4-class BCI competition IV-2a dataset, first, a non-parametric method of multivariate analysis of variance based on the sum of squared distances is used to select discriminative frequency bands for a subject; next, a multi-scale FB is generated according to the range of these frequency bands, and then decompose multi-channel EEG of the subject into multiple sub-bands combined with several time windows. Then TSM algorithm is used to estimate Riemannian tangent space features in each sub-band and finally a liner Support Vector Machines is used for classification. Main Results: The analysis results show that the proposed discriminative FB enhances the multi-scale TSM algorithm, improves the classification accuracy and reduces the execution time during training and testing. On the 4-class BCI competition IV-2a dataset, the average session to session classification accuracy of nine subjects reached 77.33 ± 12.3%. When the training time and the test time are similar, the average classification accuracy is 2.56% higher than the latest TSM method based on multi-scale filter bank analysis technology. When the classification accuracy is similar, the training speed is increased by more than three times, and the test speed is increased two times more. Compared with Supervised Fisher Geodesic Minimum Distance to the Mean, another new variant based on Riemann geometry classifier, the average accuracy is 3.36% higher, we also compared with the latest Deep Learning method, and the average accuracy of 10-fold cross validation improved by 2.58%. Conclusion: Research shows that the proposed DMFBTSM algorithm can improve the classification accuracy of MI tasks. Significance: Compared with the MFBTSM algorithm, the algorithm proposed in this article is expected to select frequency bands with good separability for specific subject to improve the classification accuracy of multiclass MI tasks and reduce the feature dimension to reduce training time and testing time. (shrink)

Due to the non-invasiveness and high precision of electroencephalography, the combination of EEG and artificial intelligence is often used for emotion recognition. However, the internal differences in EEG data have become an obstacle to classification accuracy. To solve this problem, considering labeled data from similar nature but different domains, domain adaptation usually provides an attractive option. Most of the existing researches aggregate the EEG data from different subjects and sessions as a source domain, which ignores the assumption that the (...) source has a certain marginal distribution. Moreover, existing methods often only align the representation distributions extracted from a single structure, and may only contain partial information. Therefore, we propose the multi-source and multi-representation adaptation for cross-domain EEG emotion recognition, which divides the EEG data from different subjects and sessions into multiple domains and aligns the distribution of multiple representations extracted from a hybrid structure. Two datasets, i.e., SEED and SEED IV, are used to validate the proposed method in cross-session and cross-subject transfer scenarios, experimental results demonstrate the superior performance of our model to state-of-the-art models in most settings. (shrink)

[ I ] Introduction Countless words have been written about faith, and doubtless there will be more. "If it were all to be recorded in detail, I suppose the ...

"... establishes the literary and philosophical greatness of the Dialogues in ways that even its warmest admirers have been unable to do before." -- Terence Penelhum In this lively reading of David Hume's Dialogues concerning Natural Religion, William Lad Sessions reveals a complex internal hermeneutic that gives new form, structure, and meaning to the work. Linking situations, character, style, and action to the philosophical concepts presented, Sessions finds meaning contained in the work itself and calls attention to the internal connections (...) between plot, character, rhetoric, and philosophy. The result avoids the main preoccupation of previous commentaries, namely, the attempt to establish which of the main characters speaks for Hume. Concentrating on previously unexplored questions of piety and theology, Sessions asks important questions in the philosophy of religion today -- what is the nature of true religion, what is the relationship between theology and piety, and how should we actively engage with God? (shrink)

Western society has been diverted from the goal of spiritual freedom and autonomy as expressed in the ancient Pythagorean 'theory of the cosmos'. Indeed, following Heidegger's analysis, it can be seen that modern Western society has arrived at the opposite pole of anthropocentric 'absolute subjectivism' in which the entire non-human world is seen as a material resource to be consumed in the satisfaction of our egoistic passive desires. It is further argued that Spinozism is actually a modern version of the (...) 'theory of the cosmos' which, when supplemented by a vision of man's identity with the ecological world, would provide us with the only adequate portrayal of the God/Nature/Man relationship. (shrink)

Deep ecology and ecofeminism are contemporary environmental philosophies that share the desire to supplant the predominant Western anthropocentric environmental frameworks. Recently thinkers from these movements have focused their critiques on each other, and substantial differences have emerged. This essay explores central aspects of this debate to ascertain whether either philosophy has been undermined in the process and whether there are any indications that they are compatible despite their differences.

In lieu of an abstract, here is a brief excerpt of the content:A Dialogic Interpretation of Hume's Dialogues William Lad Sessions For all ofits prominence in contemporary Anglo-American philosophy of religion, Hume's Dialogues Concerning Natural Religion continues to provoke divergent readings, especially as regards its author's intentions and beliefs. Most writers today, following Norman Kemp Smith's masterful analysis, accept some version ofwhat I will call "the standard interpretation": Hume aimed to discredit religion—natural and revealed religion alike, but especially the "experimental (...) theism" represented by Cleanthes' so-called "design argument." Hence, the sceptic "Philo represents Hume's views onreligiousbelief,"even though Cleanthes (occasionally) and Demea(rarely) also speakfor Hume.1 But a significant minority have given divergentinterpretations: some have held that Pamphilus, the narrator of the Dialogues, is Hume;2 some have given credence to Hume's remark in a letter that "I make Cleanthes the Hero of the Dialogue";3 others think that none of the characters represent Hume, at least not consistently, either because the characters represent types, not individuals,4 or because none are "wholly consistent, completely clear-headed, and unmuddled throughout,"5 or because "it is the whole of the dialogue which represents Hume."6 One interpreter has even gone so far as to declare that "I shall take it that Hume in the Dialogues is any speaker who appears tobe makingagood philosophical point,"7 whichis tantamount to identifying Hume with any self-assured philosophical reader of the Dialogues] My chief purpose in this essay is not to take issue with these interpretations, nor to propose a novel interpretation of the text—though I will do both—but rather to promote a different kind of interpretation altogether: what I will call a "dialogic" interpretation, since it views the literary form as contributory and indeed essential to the philosophical message.8 Still, the particular dialogic interpretation I propose may be of interest. On it, the Dialogues are not chiefly a diatribe against theism, much less a polemic against all (theistic or Christian) religion. Rather, the book at its most searching level is a careful rational examination of"true" vs. "false" religion, with the virtues ofthe former commended even as the vices ofthe latter are condemned. In short, Hume gives us an eighteenth century discussion ofreligiousfaith in relation to human Volume XVII Number 1 15 WILLIAM LAD SESSIONS reason, a discussion wherein reason is not automatically the enemy of faith (in all its guises). More specifically, Philo's and Cleanthes' apparent disagreements on the results and utility ofnatural theology mask a more fundamental and considerably more important harmony in their views concerning "the proper office ofreligion."9 Contrary to the standardinterpretation, they fundamentally agree on the nature and value of natural piety, which is the other component of natural religion besides natural theology.10 In the end, then, Pamphilus is not wrong to judge that Cleanthes' principles "approach still nearer to the truth" than Philo's, and not merely for reasons of filial piety (he is, after all, Cleanthes' house-guest, his loyal student, and his "adopted son"). No doubt Philo does tend to "win" his skirmishes in natural theology with Cleanthes (not to mention those with Demea!), but though Philo triumphs tactically, Cleanthes is the victor in the wider war for Pamphilus' heart and mind: critical scepticism may be a useful safeguard for careful thinkers against the "superstition" endemic to "false" and harmful piety, butitsutilityislimited; Philo's prophylaxisis muchless effective than Cleanthes' empirical theism at the vitally important task of inculcating and nurturing "true" natural piety in a young person such as Pamphilus. However, before supporting this controversial view of the Dialogues, I need to make clearer the nature, limits and value of a dialogic interpretation, by way of contrast with the more common approaches. I. Standard Hermenéutica Most philosophical interpretations of the Dialogues share several assumptions—or perhaps one should say "presumptions." First, they all focus on the propositions, beliefs, and arguments expressed by characters in the Dialogues—their claims, assertions, speculations, suggestions, rejections, replies, reasons, rebuttals, and the like—and they seek to extract from the discussion those expressed or implied beliefs and arguments which current interpreters believe most worthy of continuing philosophical adherence, development, demolition, or at least discussion. Literary... (shrink)

At the basis of Schenker's teaching lies the most important possible goal - that of effecting some kind of rapprochement between musical theory and the actual musical thought of the composer. It should be hardly necessary to point out, at this late date, the vital necessity of some such rapprochement. The older theory of harmony, virtually a compilation and standardization of the purely practical teachings of earlier days, consisted in little more than a systematic catalog of "chords"—and what was a (...) chord but the simultaneous sounding of any two or more notes, regardless of their syntactical significance? That the harmony books catalogued only the simplest of such phenomena does not in the slightest alter the fact that fundamentally the conception went no further. While distinctions were made between "harmonic" and "non-harmonic" tones, and the number of possible chords limited by professional fiat, such distinctions and limitations were patently arbitrary and often contrary to the true order beneath what was assumed to be merely conventional, and therefore sanctified by tradition. There even exist harmony books which dogmatically assert the inferiority of certain cadence formulas, on the ground that the masters used them less frequently than others of different structure! Roger Sessions was an American composer who taught at Smith College, Princeton University and the University of California, Berkeley. Sessions received two Pulitzer prizes. (shrink)

The paper presents an approach for developing multi-agent reinforcement learning systems that are made up of a coalition of modular agents. We focus on learning to segment sequences (sequential decision tasks) to create modular structures, through a bidding process that is based on reinforcements received during task execution. The approach segments sequences (and divides them up among agents) to facilitate the learning of the overall task. Notably, our approach does not rely on a priori knowledge or a priori structures. Initial (...) experiments demonstrated the basic promise of the approach. This work shows how bidding and reinforcement learning can be usefully combined, thus pointing to a new research direction. (shrink)

Although hierarchical approaches are evidently important to reinforcement learning, most existing hierarchical RL models either do not involve automatically developing hierarchies (i.e., using pre-determined hierarchies; e.g., Dayan and Hinton 1993, Sutton 1995, Pre-cup et al 1998, Parr and Russell 1997, Dietterich 1997), or involve only domain-speci c processes. Models in the latter category rely on domain-speci c knowledge or procedures and are thus not generic or autonomous; for example, Lin (1993), Moore and Atkeson (1994), and Singh (1994). The problems of (...) such hierarchies include in exibility (because the characteristics of the domain can change over time) and lack of generality (because domain-speci c hierarchies most likely vary from domain to domain). This is true even when limited learning is used to ne tune mostly pre-determined hierarchies (e.g., Parr and Russell 1997, Dietterich 1997). (shrink)

Hume's Dialogues Concerning Natural Religion may be read in the way Cleanthes reads Nature, as analogous to human artifice and contrivance. The Dialogues and Nature then are both texts, with an intelligent author or Author, and analogies may be started from these five facts of Hume's text: the independence of Hume's characters; the non-straightforwardness of the characters' discourse; the way the characters interact and live; the entanglements of Pamphilus as an internal author; and the ways in which a reader is (...) also involved in making a dialogue. These and other analogies should reflect upon the Author of Nature as they do upon Hume's authorship: They do not prove the existence of their respective authors, but may well shed some light on the nature of these disparate beings. (shrink)

This paper is concerned with autonomous learning of plans in probabilistic domains without a priori domain-specific knowledge. In contrast to existing reinforcement learning algorithms that generate only reactive plans and existing probabilistic planning algorithms that require a substantial amount of a priori knowledge in order to plan, a two-stage bottom-up process is devised, in which first reinforcement learning/dynamic programming is applied, without the use of a priori domain-specific knowledge, to acquire a reactive plan and then explicit plans are extracted from (...) the reactive plan. Several options for plan extraction are examined, each of which is based on a beam search that performs temporal projection in a restricted fashion, guided by the value functions resulting from reinforcement learning/dynamic programming. Some completeness and soundness results are given. Examples in several domains are discussed that together demonstrate the working of the proposed model. (shrink)

We study the effect of transaction costs (e.g., a trading fee or a transaction tax, like the Tobin tax) on the aggregation of private information in financial markets. We analyze a financial market à la Glosten and Milgrom, in which informed and uninformed traders trade in sequence with a market maker. Traders have to pay a cost in order to trade. We show that, eventually, all informed traders decide not to trade, independently of their private information, i.e., an informational cascade (...) occurs. We replicated our financial market in the laboratory. We found that, in the experiment, informational cascades occur when the theory suggests they should. Nevertheless, the ability of the price to aggregate private information is not significantly affected. (JEL C92, D8, G14). (shrink)

Alongside fostering academic excellence in their students, many colleges and universities aspire to cultivate responsible citizens. In this article, I explore some challenges accompanying this task and offer my Ethics in Political Action course as one approach to support students’ development as ethically engaged citizens. I begin by outlining two obstacles which make pursuing this civic mission difficult, speaking both as a faculty member and Christian ethicist who works at the intersection of religion and politics. I then describe my Ethics (...) in Political Action course, which examines various forms of political participation so that students can explore ethical issues embedded in U.S. political life as well as critically reflect on their own political activity. By weaving together civic education with the questions and insights of the Christian ethical tradition, this course equips students with the political knowledge and skills they need to engage effectively and ethically in the U.S. today. (shrink)