Neurobiological and cognitive models of unconscious information processing suggest that subconscious threat detection can lead to cognitive misinterpretations and false alarms, while conscious processing is assumed to be perceptually and conceptually accurate and unambiguous. Furthermore, clinical theories suggest that pathological anxiety results from a crude preattentive warning system predominating over more sophisticated and controlled modes of processing. We investigated the hypothesis that subconscious detection of threat in a cognitive task is reflected by enhanced ''false signal'' detection rather than by selectively (...) enhanced discrimination of threat items in 30 patients with panic disorder and 30 healthy controls. We presented a tachistoscopic word-nonword discrimination task and a subsequent recognition task and analyzed the data by means of process-dissociation procedures. In line with our expectations, subjects of both groups showed more false signal detection to threat than to neutral stimuli as indicated by an enhanced response bias, whereas indices of discriminative sensitivity did not show this effect. In addition, patients with panic disorder showed a generally enhanced response bias in comparison to healthy controls. They also seemed to have processed the stimuli less elaborately and less differentially. Results are consistent with the assumption that subconscious threat detection can lead to misrepresentations of stimulus significance and that pathological anxiety is characterized by a hyperactive preattentive alarm system that is insufficiently controlled by higher cognitive processes. (shrink)

Eighty-four undergraduate male subjects were tachistoscopically exposed either to an experimental message designed to arouse anxiety , or to a neutral control message , at 4 ms or 200 ms durations. Electrodermal responses were recorded before, during and after exposure to the critical messages. Three measures of awareness of 4 ms stimuli were used; recall, recognition and discrimination. No evidence of stimulus awareness was found on any of these measures. Only subjects exposed to the experimental message at 4 ms (...) durations showed a significant increase in EDR from pre-exposure to message exposure period. These results support Silverman's hypothesis that drive-related stimuli must be presented subliminally in order to produce significant effects on behavior, and are consistent with Bornstein's hypothesis that stimulus awareness inhibits responding to drive- and affect-related stimuli. (shrink)

Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...) are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

Frequency effects are pervasive in studies of language, with higher frequency words being recognized faster than lower frequency words. However, the exact nature of frequency effects has recently been questioned, with some studies finding that contextual information provides a better fit to lexical decision and naming data than word frequency ( Adelman et al., 2006 ). Recent work has cemented the importance of these results by demonstrating that a measure of the semantic diversity of the contexts that a word occurs (...) in provides a powerful measure to account for variability in word recognition latency ( Johns et al., 2012, 2015 ; Jones et al., 2012 ). The goal of the current study is to extend this measure to examine bilingualism and aging, where multiple theories use frequency of occurrence of linguistic constructs as central to accounting for empirical results ( Gollan et al., 2008 ; Ramscar et al., 2014 ). A lexical decision experiment was conducted with four groups of subjects: younger and older monolinguals and bilinguals. Consistent with past results, a semantic diversity variable accounted for the greatest amount of variance in the latency data. In addition, the pattern of fits of semantic diversity across multiple corpora suggests that bilinguals and older adults are more sensitive to semantic diversity information than younger monolinguals. (shrink)

This book provides a detailed account of the role of property in German Idealism. It puts the concept of property in the center of the philosophical systems of Kant, Fichte, and Hegel and shows how property remains tied to their conceptions of freedom, right, and recognition. The book begins with a critical genealogy of the concept of property in modern legal philosophy, followed by a reconstruction of the theory of property in Kant's Doctrine of Right, Fichte's Foundations of Natural (...) Right, and Hegel's Jena Realphilosophie. By turning to the tradition of German Rechtsphilosophie, as opposed to the more standard libertarian and utilitarian frameworks of property, it explores the metaphysical, normative, political, and material questions that make property intelligible as a social relation. The book formulates a normative theory of property rooted in practical reason, mutual recognition, and social freedom. This relational theory of property, inspired by German Idealism, brings a fresh angle to contemporary property theory. Additionally, it provides crucial philosophical background to 19th century debates on private property, inequality, labor, socialism, capitalism, and the state. The Concept of Property in Kant, Fichte, and Hegel will appeal to scholars and advanced students interested in 19th Century German philosophy, social and political philosophy, philosophy of law, political theory, and political economy. (shrink)

The sounds that make up spoken words are heard in a series and must be mapped rapidly onto words in memory because their elements, unlike those of visual words, cannot simultaneously exist or persist in time. Although theories agree that the dynamics of spoken word recognition are important, they differ in how they treat the nature of the competitor set—precisely which words are activated as an auditory word form unfolds in real time. This study used eye tracking to measure (...) the impact over time of word frequency and 2 partially overlapping competitor set definitions: onset density and neighborhood density. Time course measures revealed early and continuous effects of frequency (facilitatory) and on set based similarity (inhibitory). Neighborhood density appears to have early facilitatory effects and late inhibitory effects. The late inhibitory effects are due to differences in the temporal distribution of similarity within neighborhoods. The early facilitatory effects are due to subphonemic cues that inform the listener about word length before the entire word is heard. The results support a new conception of lexical competition neighborhoods in which recognition occurs against a background of activated competitors that changes over time based on fine-grained goodness-of-fit and competition dynamics. (shrink)

Most words in English are ambiguous between different interpretations; words can mean different things in different contexts. We investigate the implications of different types of semantic ambiguity for connectionist models of word recognition. We present a model in which there is competition to activate distributed semantic representations. The model performs well on the task of retrieving the different meanings of ambiguous words, and is able to simulate data reported by Rodd, Gaskell, and Marslen‐Wilson [J. Mem. Lang. 46 (2002) 245] (...) on how semantic ambiguity affects lexical decision performance. In particular, the network shows a disadvantage forwords with multiple unrelated meanings (e.g., bark) that coexists with a benefit for words with multiple related word senses (e.g., twist). The ambiguity disadvantage arises because of interference between the different meanings, while the sense benefit arises because of differences in the structure of the attractor basins formed during learning. Words with few senses develop deep, narrow attractor basins, while words with many senses develop shallow, broad basins. We conclude that the mental representations of word meanings can be modelled as stable states within a high‐dimensional semantic space, and that variations in the meanings of words shape the landscape of this space. (shrink)

It is not clear that "cultural recognition" should be a central goal of leftist politics. The idea that cultures have value simply by virtue of being cultures seems absurd, so it might be better to talk simply about eliminating prejudice and stigmatisation.

This chapter contains sections titled: Further Reading.

Based on theoretical considerations of Aurell (1979) and Block (1995), we argue that object recognition awareness is distinct from purely sensory awareness and that the former is mediated by neuronal activities in areas that are separate and distinct from cortical sensory areas. We propose that two of the principal functions of neuronal activities in sensory cortex, which are to provide sensory awareness and to effect the computations that are necessary for object recognition, are dissociated. We provide examples of (...) how this dissociation might be achieved and argue that the components of the neuronal activities which carry the computations do not directly enter the awareness of the subject. The results of these computations are sparse representations (i.e., vector or distributed codes) which are activated by the presentation of particular sensory objects and are essentially engrams for the recognition of objects. These final representations occur in the highest order areas of sensory cortex; in the visual analyzer, the areas include the anterior part of the inferior temporal cortex and the perirhinal cortex. We propose, based on lesion and connectional data, that the two areas in which activities provide recognition awareness are the temporopolar cortex and the medial orbitofrontal cortex. Activities in the temporopolar cortex provide the recognition awareness of objects learned in the remote past (consolidated object recognition), and those in the medial orbitofrontal cortex provide the recognition awareness of objects learned in the recent past. The activation of the sparse representation for a particular sensory object in turn activates neurons in one or both of these regions of cortex, and it is the activities of these neurons that provide the awareness of recognition of the object in question. The neural circuitry involved in the activation of these representations is discussed. (shrink)

Moralism is an often-cited feature of populist politics; yet, as a concept, it remains under-theorised in current literature. This paper posits that to understand the threat that populism poses to democracy, it is necessary to develop this key feature of populism. Essential to discerning what moralism is is the difference between moralism, or moralistic blame, and moral criticism. While moral criticism is a restrained and thoughtful method of holding persons accountable for their actions, moralism amounts to a distinctly punitive form (...) of exclusion: it seeks to undermine the equal moral status of the target of criticism. As a key feature of populism, then, moralism enables a political actor to solidify a conception of the ‘morally-pure‘ while normalising hate and disrespect for particular persons and groups in society. Populism – shaped by the features of anti-pluralism and moralism – therefore presents a clear threat to democracy, especially if we consider pluralism and recognition-respect as two basic principles underpinning democracy itself. (shrink)

The article examines the role of apology in a process of reconciling with historic injustice. As with so many other facets of the politics of reconciliation, official apologies are controversial, at times strenuously resisted, and their purpose and significance not always well understood. The article, therefore, seeks to articulate the key moral and practical resources that official apologies can bring to bear in a process of national reconciliation and to defend these symbolic acts against some of the more influential criticisms (...) from the skeptics. The analysis is developed in relation to apologies offered in the context of state-indigenous reconciliation processes in the Americas, Australasia, and other regions of the globe. (shrink)

The existence of the Language Familiarity Effect (LFE), where talkers of a familiar language are easier to identify than talkers of an unfamiliar language, is well‐documented and uncontroversial. However, a closely related phenomenon known as the Other Accent Effect (OAE), where accented talkers are more difficult to recognize, is less well understood. There are several possible explanations for why the OAE exists, but to date, little data exist to adjudicate differences between them. Here, we begin to address this issue by (...) directly comparing listeners’ recognition of talkers who speak in different types of accents, and by examining both the LFE and OAE in the same set of listeners. Specifically, Canadian English listeners were tested on their ability to recognize talkers within four types of voice line‐ups: Canadian English talkers, Australian English talkers, Mandarin‐accented English talkers, and Mandarin talkers. We predicted that the OAE would be present for talkers of Mandarin‐accented English but not for talkers of Australian English—which is precisely what we observed. We also observed a disconnect between listeners’ confidence and performance across different types of accents; that is, listeners performed equally poorly with Mandarin and Mandarin‐accented talkers, but they were more confident with their performance with the latter group of talkers. The present findings set the stage for further investigation into the nature of the OAE by exploring a range of potential explanations for the effect, and introducing important implications for forensic scientists’ evaluation of ear witness testimony. (shrink)

How do newborns learn to recognize objects? According to temporal learning models in computational neuroscience, the brain constructs object representations by extracting smoothly changing features from the environment. To date, however, it is unknown whether newborns depend on smoothly changing features to build invariant object representations. Here, we used an automated controlled-rearing method to examine whether visual experience with smoothly changing features facilitates the development of view-invariant object recognition in a newborn animal model—the domestic chick. When newborn chicks were (...) reared with a virtual object that moved smoothly over time, the chicks created view-invariant representations that were selective for object identity and tolerant to viewpoint changes. Conversely, when newborn chicks were reared with a temporally non-smooth object, the chicks developed less selectivity for identity features and less tolerance to viewpoint changes. These results provide evidence for a “smoothness constraint” on the development of invariant object recognition and indicate that newborns leverage the temporal smoothness of natural visual environments to build abstract mental models of objects. (shrink)

This article aims to make two points. First, seeking and granting recognition is an ambivalent process that may lead to results completely the opposite from what was intended. Certain social pathologies, including reification, develop because of the way the desire for recognition is expressed and satisfied. Nevertheless, the concept of recognition remains central to critical theory. A normative concept of recognition is needed in order to identify these pathologies. Second, a critical theory of society that understands (...) itself as praxis must justify the possibility of its ‘reception’ by members of society. The theory’s addressees must ‘recognize themselves’ in the theory. They must recognize in it the conceptual expression of their own experience of society. Therefore, social theory must account for the emergence of a critical standpoint on society. These two main points are addressed by means of a ‘dialectical’ approach. The tensions and interactions between global society, states, and value-communities – the dialectic within and between these spheres – account for the diverse and conflicting meanings of the concept of recognition. At the same time, such a dialectic makes it possible to understand the emergence of a critical viewpoint on society. (shrink)

인간은 사회적 동물이다. 인간의 삶은 남들의 인정을 받기 위한 투쟁, 즉 '인정투쟁'의 연속이라고 해도 과언이 아니다. 인정투쟁 이론은 다른 사람의 인정을 받는 것이 인간의 행동을 지배하는 가장 기본적인 원리라는 이론이다. 헤겔이 처음 제시했으며 이후 여러 철학자들에 의해 발전ㆍ대중화되었다. 최근에는 SNS를 통한 자기 과시가 일상화되면서 온라인을 통한 가상의 인정투쟁과 관련해 논의되고 있다. 그렇다면 인정투쟁은 인간의 삶에서 불가피한가? 이러한 인정욕구를 유학에서는 어떻게 인식하고 있는가? 공자 이래 모든 유학자의 모토는 ‘입신양명’이다. 높은 관직에 올라 출세를 해서 자신의 이름뿐만 아니라 가문의 이름을 널리 알리는 것이다. (...) 유학자들이 주장하는 仁人이나 義人이란 사람은 공동체, 혹은 타자 일반에게서 인정을 받는 사람을 가리킨다. 여기서 유학이 지향했던 인간형이 기본적으로 인정욕구를 가지고 있다는 것을 발견할 수 있다. 순자를 비롯한 유학의 주류는 인정욕구를 매우 중시하였다. 순자도 인간의 본질이 인정욕구에 있다는 입장을 확고히 견지하고 있다. 인정투쟁을 집요하게 주장했던 순자는 송견을 비판한다. 송견은 인정투쟁 자체를 무력화시키려고 노력했기 때문이다. 본고는 순자의 사상에서 드러나는 인정욕구를 파악한 후, 『순자』｢정론｣ 편에서 송견의 핵심 주장을 조목조목 비판하는 순자의 자세를 통해 인정욕구를 비판한 송견 사상의 핵심을 논하였다. (shrink)

Emotion recognition plays an important part in human-computer interaction. Currently, the main challenge in electroencephalogram -based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose a two-level domain adaptation neural network to construct a transfer model for EEG-based emotion recognition. Specifically, deep features from the topological graph, which preserve topological information from EEG signals, are extracted using a deep neural network. These features are (...) then passed through TDANN for two-level domain confusion. The first level uses the maximum mean discrepancy to reduce the distribution discrepancy of deep features between source domain and target domain, and the second uses the domain adversarial neural network to force the deep features closer to their corresponding class centers. We evaluated the domain-transfer performance of the model on both our self-built data set and the public data set SEED. In the cross-day transfer experiment, the ability to accurately discriminate joy from other emotions was high: sadness, anger, and fear on the self-built data set. The accuracy reached 74.93% on the SEED data set. In the cross-subject transfer experiment, the ability to accurately discriminate joy from other emotions was equally high: sadness, anger, and fear on the self-built data set. The average accuracy reached 87.9% on the SEED data set, which was higher than WGAN-DA. The experimental results demonstrate that the proposed TDANN can effectively handle the domain transfer problem in EEG-based emotion recognition. (shrink)

Individuals who deviate from social norms by committing crimes may have reduced facial emotion recognition abilities. Nevertheless, a specific category of offenders – i.e. organised crime (OC) members – is characterised by hierarchically organised social networks and a tendency to manipulate others to reach their illicit goals. Since recognising emotions is crucial to building social networks, OC members may be more skilled in recognising the facial emotion expressions of others to use this information for their criminal purposes. Evidence of (...) a difference between OC and non-organised crime (NOC) offenders in terms of facial emotion recognition is still lacking. To fill this gap in the literature, we tested 50 OC, 50 NOC offenders, and 50 non-offender controls for their ability to identify six basic emotions (happiness, sadness, fear, anger, disgust, and surprise). All participants underwent a cognitive and psychological evaluation to avoid alternative explanations. Results show that OC members were more able to detect the expression of fear in others as compared to NOC. We interpreted this finding in light of the social context and the behavioural criminal attitude of OC members. (shrink)