It is not rare in philosophy and psychology to see theorists fall into dichotomous thinking about mental phenomena. On one side of the dichotomy there are processes that I will label “unintelligent.” These processes are thought to be unconscious, implicit, automatic, unintentional, involuntary, procedural, and non-cognitive. On the other side, there are “intelligent” processes that are conscious, explicit, controlled, intentional, voluntary, declarative, and cognitive. Often, if a process or behavior is characterized by one of the features from either of the (...) above lists, the process or behavior is classified as falling under the category to which the feature belongs. For example, if a process is implicit this is usually considered sufficient for classifying it as “unintelligent” and for assuming that the remaining features that fall under the “unintelligent” grouping will apply to it as well. Accordingly, if a process or behavior is automatic, philosophers often consider it to be unintelligent. It is my goal in this paper to challenge the conceptual slip from “automatic” to “unintelligent”. I will argue that there are a whole range of properties highlighted by the existing psychological literature that make automaticity a much more complex phenomenon than is usually appreciated. I will then go on to discuss two further important relationships between automatic processes and controlled processes that arise when we think about automatic processes in the context of skilled behavior. These interactions should add to our resistance to classifying automaticity as unintelligent or mindless. In Sect. 1, I present a few representative cases of philosophers classifying automatic processes and behaviors as mindless or unintelligent. In Sect. 2, I review trends in the psychology of automaticity in order highlight a complex set of features that are characteristic, though not definitive, of automatic processes and behaviors. In Sect. 3, I argue that at least some automatic processes are likely cognitively penetrable. In Sect. 4, I argue that the structure of skilled automatic processes is shaped diachronically by practice, training and learning. Taken together, these considerations should dislodge the temptation to equate “automatic” with “unintelligent”. (shrink)

I argue that so-called automatic actions – routine performances that we successfully and effortlessly complete without thinking such as turning a door handle, downshifting to 4th gear, or lighting up a cigarette – pose a challenge to causalism, because they do not appear to be preceded by the psychological states which, according to the causal theory of action, are necessary for intentional action. I argue that causalism cannot prove that agents are simply unaware of the relevant psychological states when they (...) act automatically, because these content-specific psychological states aren’t always necessary to make coherent rational sense of the agent’s behaviour. I then dispute other possible grounds for the attribution of these psychological states, such as agents’ own self-attributions. In the final section I introduce an alternative to causalism, building on Frankfurt’s concept of guidance. (shrink)

The objective of this paper is to characterize the rich interplay between automatic and cognitive control processes that we propose is the hallmark of skill, in contrast to habit, and what accounts for its flexibility. We argue that this interplay isn't entirely hierarchical and static, but rather heterarchical and dynamic. We further argue that it crucially depends on the acquisition of detailed and well-structured action representations and internal models, as well as the concomitant development of metacontrol processes that can be (...) used to shape and balance it. (shrink)

According to grounded cognition, words whose semantics contain sensory-motor features activate sensory-motor simulations, which, in turn, interact with spatial responses to produce grounded congruency effects. Growing evidence shows these congruency effects do not always occur, suggesting instead that the grounded features in a word's meaning do not become active automatically across contexts. Researchers sometimes use this as evidence that concepts are not grounded, further concluding that grounded information is peripheral to the amodal cores of concepts. We first review broad evidence (...) that words do not have conceptual cores, and that even the most salient features in a word's meaning are not activated automatically. Then, in three experiments, we provide further evidence that grounded congruency effects rely dynamically on context, with the central grounded features in a concept becoming active only when the current context makes them salient. Even when grounded features are central to a word's meaning, their activation depends on task conditions. (shrink)

Social psychologists tell us that much of human behavior is automatic. It is natural to think that automatic behavioral dispositions are ethically desirable if and only if they are suitably governed by an agent’s reflective judgments. However, we identify a class of automatic dispositions that make normatively self-standing contributions to praiseworthy action and a well-lived life, independently of, or even in spite of, an agent’s reflective judgments about what to do. We argue that the fundamental questions for the "ethics of (...) automaticity" are what automatic dispositions are (and are not) good for and when they can (and cannot) be trusted. (shrink)

Automaticity is rapid and effortless cognition that operates without conscious awareness or deliberative control. An action is virtuous to the degree that it meets the requirements of the ethical virtues in the circumstances. What contribution does automaticity make to the ethical virtue of an action? How far is the automaticity discussed by virtue ethicists consonant with, or even supported by, the findings of empirical psychology? We argue that the automaticity of virtuous action is automaticity not (...) of skill, but of motivation. Automatic motivations that contribute to the virtuousness of an action include not only those that initiate action, but also those that modify action and those that initiate and shape deliberation. We then argue that both goal psychology and attitude psychology can provide the cognitive architecture of this automatic motivation. Since goals are essentially directed towards the agent’s own action whereas attitudes are not, we argue that goals might underpin some virtues while attitudes underpin others. We conclude that consideration of the cognitive architecture of ethical virtue ought to engage with both areas of empirical psychology and should be careful to distinguish among ethical virtues. (shrink)

Critics of appraisal theory have difficulty accepting appraisal (with its constructive flavor) as an automatic process, and hence as a potential cause of most emotions. In response, some appraisal theorists have argued that appraisal was never meant as a causal process but as a constituent of emotional experience. Others have argued that appraisal is a causal process, but that it can be either rule-based or associative, and that the associative variant can be automatic. This article first proposes empirically investigating whether (...) rule-based appraisal can also be automatic and then proposes investigating the automatic nature of constructive (instead of rule-based) appraisal because the distinction between rule-based and associative is problematic. Finally, it discusses experiments that support the view that constructive appraisal can be automatic. (shrink)

Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories is (...) shown to improve controlled search performance. A general framework for human information processing is proposed. The framework emphasizes the roles of automatic and controlled processing. The theory is compared to and contrasted with extant models of search and attention. (shrink)

Perceptual processes, in particular modular processes, have long been understood as being mandatory. But exactly what mandatoriness amounts to is left to intuition. This paper identifies a crucial ambiguity in the notion of mandatoriness. Discussions of mandatory processes have run together notions of automaticity and ballisticity. Teasing apart these notions creates an important tool for the modularist's toolbox. Different putatively modular processes appear to differ in their kinds of mandatoriness. Separating out the automatic from the ballistic can help the (...) modularist diagnose and explain away some putative counterexamples to multimodal and central modules, thereby helping us to better evaluate the evidentiary status of modularity theory. (shrink)

Automatic imitation or “imitative compatibility” is thought to be mediated by the mirror neuron system and to be a laboratory model of the motor mimicry that occurs spontaneously in naturalistic social interaction. Imitative compatibility and spatial compatibility effects are known to depend on different stimulus dimensions—body movement topography and relative spatial position. However, it is not yet clear whether these two types of stimulus–response compatibility effect are mediated by the same or different cognitive processes. We present an interactive activation model (...) of imitative and spatial compatibility, based on a dual-route architecture, which substantiates the view they are mediated by processes of the same kind. The model, which is in many ways a standard application of the interactive activation approach, simulates all key results of a recent study by Catmur and Heyes (2011). Specifically, it captures the difference in the relative size of imitative and spatial compatibility effects; the lack of interaction when the imperative and irrelevant stimuli are presented simultaneously; the relative speed of responses in a quintile analysis when the imperative and irrelevant stimuli are presented simultaneously; and the different time courses of the compatibility effects when the imperative and irrelevant stimuli are presented asynchronously. (shrink)

Work on a computer program called SMILE + IBP (SMart Index Learner Plus Issue-Based Prediction) bridges case-based reasoning and extracting information from texts. The program addresses a technologically challenging task that is also very relevant from a legal viewpoint: to extract information from textual descriptions of the facts of decided cases and apply that information to predict the outcomes of new cases. The program attempts to automatically classify textual descriptions of the facts of legal problems in terms of Factors, a (...) set of classification concepts that capture stereotypical fact patterns that effect the strength of a legal claim, here trade secret misappropriation. Using these classifications, the program can evaluate and explain predictions about a problem’s outcome given a database of previously classified cases. This paper provides an extended example illustrating both functions, prediction by IBP and text classification by SMILE, and reports empirical evaluations of each. While IBP’s results are quite strong, and SMILE’s much weaker, SMILE + IBP still has some success predicting and explaining the outcomes of case scenarios input as texts. It marks the first time to our knowledge that a program can reason automatically about legal case texts. (shrink)

Are mechanisms for social attention influenced by culture? Evidence that social attention is triggered automatically by bottom-up gaze cues and is uninfluenced by top-down verbal instructions may suggest it operates in the same way everywhere. Yet considerations from evolutionary and cultural psychology suggest that specific aspects of one's cultural background may have consequence for the way mechanisms for social attention develop and operate. In more interdependent cultures, the scope of social attention may be broader, focusing on more individuals and relations (...) between those individuals. We administered a multi-gaze cueing task requiring participants to fixate a foreground face flanked by background faces and measured shifts in attention using eye tracking. For European Americans, gaze cueing did not depend on the direction of background gaze cues, suggesting foreground gaze alone drives automatic attention shifting; for East Asians, cueing patterns differed depending on whether the foreground cue matched or mismatched background cues, suggesting foreground and background gaze information were integrated. These results demonstrate that cultural background influences the social attention system by shifting it into a narrow or broad mode of operation and, importantly, provides evidence challenging the assumption that mechanisms underlying automatic social attention are necessarily rigid and impenetrable to culture. (shrink)

A structure is automatic if its domain, functions, and relations are all regular languages. Using the fact that every automatic structure is decidable, in the literature many decision problems have been solved by giving an automatic presentation of a particular structure. Khoussainov and Nerode asked whether there is some way to tell whether a structure has, or does not have, an automatic presentation. We answer this question by showing that the set of Turing machines that represent automata-presentable structures is ${\rm{\Sigma (...) }}_1^1 $-complete. We also use similar methods to show that there is no reasonable characterisation of the structures with a polynomial-time presentation in the sense of Nerode and Remmel. (shrink)

Extracting fault, unconformity, and horizon surfaces from a seismic image is useful for interpretation of geologic structures and stratigraphic features. Although others automate the extraction of each type of these surfaces to some extent, it is difficult to automatically interpret a seismic image with all three types of surfaces because they could intersect with each other. For example, horizons can be especially difficult to extract from a seismic image complicated by faults and unconformities because a horizon surface can be dislocated (...) at faults and terminated at unconformities. We have proposed a processing procedure to automatically extract all the faults, unconformities, and horizon surfaces from a 3D seismic image. In our processing, we first extracted fault surfaces, estimated fault slips, and undid the faulting in the seismic image. Then, we extracted unconformities from the unfaulted image with continuous reflectors across faults. Finally, we used the unconformities as constraints for image flattening and horizon extraction. Most of the processing was image processing or array processing and was achieved by efficiently solving partial differential equations. We used a 3D real example with faults and unconformities to demonstrate the entire image processing. (shrink)

The last couple of years have seen a rapid growth of interest in the study of crossmodal correspondences – the tendency for our brains to preferentially associate certain features or dimensions of stimuli across the senses. By now, robust empirical evidence supports the existence of numerous crossmodal correspondences, affecting people’s performance across a wide range of psychological tasks – in everything from the redundant target effect paradigm through to studies of the Implicit Association Test, and from speeded discrimination/classification tasks through (...) to unspeeded spatial localisation and temporal order judgment tasks. However, one question that has yet to receive a satisfactory answer is whether crossmodal correspondences automatically affect people’s performance , as opposed to reflecting more of a strategic, or top-down, phenomenon. Here, we review the latest research on the topic of crossmodal correspondences to have addressed this issue. We argue that answering the question will require researchers to be more precise in terms of defining what exactly automaticity entails. Furthermore, one’s answer to the automaticity question may also hinge on the answer to a second question: Namely, whether crossmodal correspondences are all ‘of a kind’, or whether instead there may be several different kinds of crossmodal mapping . Different answers to the automaticity question may then be revealed depending on the type of correspondence under consideration. We make a number of suggestions for future research that might help to determine just how automatic crossmodal correspondences really are. (shrink)

This article discusses a challenge to the traditional intentional-causalist conceptions of action and intentionality as well as to our everyday and legal conceptions of responsibility, namely the psychological discovery that the greatest part of our alleged actions are performed automatically, that is unconsciously and without a proximal intention causing and sustaining them. The main part of the article scrutinizes several mechanisms of automatic behavior, how they work, and whether the resulting behavior is an action. These mechanisms include actions caused by (...) distal implementation intentions, four types of habit and habitualization, mimicry, and semantically induced automatic behavior. According to the intentional-causalist criterion, the automatic behaviors resulting from all but one of these mechanisms turn out to be actions and to be intentional; and even the behavior resulting from the remaining mechanism is something we can be responsible for. Hence, the challenge, seen from close up, does not really call the traditional conception of action and intentionality into question. (shrink)

Using the Implicit Association Test (IAT), recent experiments have demonstrated a strong and automatic positive evaluation of White Americans and a relatively negative evaluation of African Americans. Interpretations of this finding as revealing pro-White attitudes rest critically on tests of alternative interpretations, the most obvious one being perceivers’ greater familiarity with stimuli representing White Americans. The reported experiment demonstrated that positive attributes were more strongly associated with White than Black Americans even when (a) pictures of equally unfamiliar Black and White (...) individuals were used as stimuli and (b) differences in stimulus familiarity were statistically controlled. This experiment indicates that automatic race associations captured by the IAT are not compromised by stimulus familiarity, which in turn strengthens the conclusion that the IAT measures automatic evaluative associations. © 2000 Academic Press.. (shrink)

As an important variant of membrane computing models, fuzzy reasoning spiking neural P systems were introduced to build a link between P systems and fault diagnosis applications. An FRSN P system offers an intuitive illustration based on a strictly mathematical expression, a good fault-tolerant capacity, a good description for the relationships between protective devices and faults, and an understandable diagnosis model-building process. However, the implementation of FRSN P systems is still at a manual process, which is a time-consuming and hard (...) labor work, especially impossible to perform on large-scale complex power systems. This manual process seriously limits the use of FRSN P systems to diagnose faults in large-scale complex power systems and has always been a challenging and ongoing task for many years. In this work we develop an automatic implementation method for automatically fulfilling the hard task, named membrane computing fault diagnosis method. This is a very significant attempt in the development of FRSN P systems and even of the membrane computing applications. MCFD is realized by automating input and output, and diagnosis processes consists of network topology analysis, suspicious fault component analysis, construction of FRSN P systems for suspicious fault components, and fuzzy inference. Also, the feasibility of the FRSN P system is verified on the IEEE14, IEEE 39, and IEEE 118 node systems. (shrink)

This paper presents a novel argumentation framework to support Issue-Based Information System style debates on design alternatives, by providing an automatic quantitative evaluation of the positions put forward. It also identifies several formal properties of the proposed quantitative argumentation framework and compares it with existing non-numerical abstract argumentation formalisms. Finally, the paper describes the integration of the proposed approach within the design Visual Understanding Environment software tool along with three case studies in engineering design. The case studies show the potential (...) for a competitive advantage of the proposed approach with respect to state-of-the-art engineering design methods. (shrink)

We survey various aspects of the problem of automatic continuity of homomorphisms between Polish groups.

Using the Implicit Association Test, recent experiments have demonstrated a strong and automatic positive evaluation of White Americans and a relatively negative evaluation of African Americans. Interpretations of this finding as revealing pro-White attitudes rest critically on tests of alternative interpretations, the most obvious one being perceivers’ greater familiarity with stimuli representing White Americans. The reported experiment demonstrated that positive attributes were more strongly associated with White than Black Americans even when pictures of equally unfamiliar Black and White individuals were (...) used as stimuli and differences in stimulus familiarity were statistically controlled. This experiment indicates that automatic race associations captured by the IAT are not compromised by stimulus familiarity, which in turn strengthens the conclusion that the IAT measures automatic evaluative associations. © 2000 Academic Press. (shrink)

Actions performed in a state of automatism are not subject to moral evaluation, while automatic actions often are. Is the asymmetry between automatistic and automatic agency justified? In order to answer this question we need a model or moral accountability that does justice to our intuitions about a range of modes of agency, both pathological and non-pathological. Our aim in this paper is to lay the foundations for such an account.

Moral judgements are based on automatic processes. Moral judgements are based on reason. In this paper, I argue that both of these claims are true, and show how they can be reconciled. Neither the automaticity of moral judgement nor the post hoc nature of conscious moral reasoning pose a threat to rationalist models of moral cognition. The relation moral reasoning bears to our moral judgements is not primarily mediated by episodes of conscious reasoning, but by the acquisition, formation and (...) maintenance ? in short: education ? of our moral intuitions. (shrink)

The SALOMON project is a contribution to the automatic processing of legal texts. Its aim is to automatically summarise Belgian criminal cases in order to improve access to the large number of existing and future cases. Therefore, techniques are developed for identifying and extracting relevant information from the cases. A broader application of these techniques could considerably simplify the work of the legal profession.A double methodology was used when developing SALOMON: the cases are processed by employing additional knowledge to interpret (...) structural patterns and features on the one hand and by way of occurrence statistics of index terms on the other. As a result, SALOMON performs an initial categorisation and structuring of the cases and subsequently extracts the most relevant text units of the alleged offences and of the opinion of the court. The SALOMON techniques do not themselves solve any legal questions, but they do guide the user effectively towards relevant texts. (shrink)

(2009). How automatic is “automatic vigilance”? The role of working memory in attentional interference of negative information. Cognition & Emotion: Vol. 23, No. 6, pp. 1106-1117.

Cognitive scientists have long noted that automated behavior is the rule, while consciousness acts of self-regulation are the exception to the rule. On the face of it automated actions appear to be immune to moral appraisal because they are not subject to conscious control. Conventional wisdom suggests that sleepwalking exculpates, while the mere fact that a person is performing a well-versed task unthinkingly does not. However, our apparent lack of conscious control while we are undergoing automaticity challenges the idea (...) that there is a relevant moral difference between these two forms of unconscious behavior. In both cases the agent lacks access to information that might help them guide their actions so as to avoid harms. In response it is argued that the crucial distinction between the automatic agent and the agent undergoing an automatism, such as somnambulism or petit mal epilepsy, lies in the fact that the former can preprogram the activation and interruption of automatic behavior. Given that, it is argued that there is elbowroom for attributing responsibility to automated agents based on the quality of their will. (shrink)

Salt boundary interpretation is important for the understanding of salt tectonics and velocity model building for seismic migration. Conventional methods consist of computing salt attributes and extracting salt boundaries. We have formulated the problem as 3D image segmentation and evaluated an efficient approach based on deep convolutional neural networks with an encoder-decoder architecture. To train the model, we design a data generator that extracts randomly positioned subvolumes from large-scale 3D training data set followed by data augmentation, then feed a large (...) number of subvolumes into the network while using salt/nonsalt binary labels generated by thresholding the velocity model as ground truth labels. We test the model on validation data sets and compare the blind test predictions with the ground truth. Our results indicate that our method is capable of automatically capturing subtle salt features from the 3D seismic image with less or no need for manual input. We further test the model on a field example to indicate the generalization of this deep CNN method across different data sets. (shrink)

Contracts play an important role in business management where relationships among different parties are dictated by legal rules. Electronic contracts have emerged mostly due to technological advances and electronic trading between companies and customers. New challenges have then arisen to guarantee reliability among the stakeholders in electronic negotiations. In this scenario, automatic verification of electronic contracts appeared as an imperative support, specially the conflict detection task of multi-party contracts. The problem of checking contracts has been largely addressed in the literature, (...) but there are few, if any, methods and practical tools that can deal with multi-party contracts using a contract language with deontic and dynamic aspects as well as relativizations, over the same formalism. In this work we present an automatic checker for finding conflicts on multi-party contracts modeled by an extended contract language with deontic operators and relativizations. Moreover a well-known case study of sales contract is modeled and automatically verified by our tool. Further, we performed practical experiments in order to evaluate the efficiency of our method and the practical tool. (shrink)

Interaction mining is about discovering and extracting insightful information from digital conversations, namely those human?human information exchanges mediated by digital network technology. We present in this article a computational model of natural arguments and its implementation for the automatic argumentative analysis of digital conversations, which allows us to produce relevant information to build interaction business analytics applications overcoming the limitations of standard text mining and information retrieval technology. Applications include advanced visualisations and abstractive summaries.

Marc Lewis argues that addiction is not a disease, it is instead a dysfunctional outcome of what plastic brains ordinarily do, given the adaptive processes of learning and development within environments where people are seeking happiness, or relief, or escape. They come to obsessively desire substances or activities that they believe will deliver happiness and so on, but this comes to corrupt the normal process of development when it escalates beyond a point of functionality. Such ‘deep learning’ emerges from consumptive (...) habits, or ‘motivated repetition’, and although addiction is bad, it ferments out of the ordinary stuff underpinning any neural habit. Lewis gives us a convincing story about the process that leads from ordinary controlled consumption through to quite heavy addictive consumption, but I claim that in some extreme cases the eventual state of deep learning tips over into clinically significant impairment and disorder. Addiction is an elastic concept, and although it develops through mild and moderate forms, the impairment we see in severe cases needs to be acknowledged. This impairment, I argue, consists in the chronic automatic consumption present in late stage addiction. In this condition, the desiring self largely drops out the picture, as the addicted individual begins to mindlessly consume. This impairment is clinically significant because the machinery of motivated rationality has become corrupted. To bolster this claim I compare what is going on in these extreme cases with what goes on in people who dissociate in cases of depersonalization disorder. (shrink)

While the causal contributions of so-called ‘automatic’ processes to behavior are now widely acknowledged, less attention has been given to their normative role in the guidance of action. We develop an account of the normativity of automaticity that responds to and builds upon Tamar Szabó Gendler's account of ‘alief’, an associative and arational mental state more primitive than belief. Alief represents a promising tool for integrating psychological research on automaticity with philosophical work on mind and action, but Gendler (...) errs in overstating the degree to which aliefs are norm-insensitive. (shrink)

This paper presents a model based on stacked denoising autoencoders in deep learning and adaptive affinity propagation for bearing fault diagnosis automatically. First, SDAEs are used to extract potential fault features and directly reduce their high dimension to 3. To prove that the feature extraction capability of SDAEs is better than stacked autoencoders, principal component analysis is employed to compare and reduce their dimension to 3, except for the final hidden layer. Hence, the extracted 3-dimensional features are chosen as the (...) input for adAP cluster models. Compared with other traditional cluster methods, such as the Fuzzy C-mean, Gustafson–Kessel, Gath–Geva, and affinity propagation, clustering algorithms can identify fault samples without cluster center number selection. However, AP needs to set two key parameters depending on manual experience—the damping factor and the bias parameter—before its calculation. To overcome this drawback, adAP is introduced in this paper. The adAP clustering algorithm can find the available parameters according to the fitness function automatic. Finally, the experimental results prove that SDAEs with adAP are better than other models, including SDAE-FCM/GK/GG according to the cluster assess index and the classification error rate. (shrink)

Recently, philosophers have appealed to empirical studies to argue that whenever we think that p, we automatically believe that p (Millikan 2004; Mandelbaum 2014; Levy and Mandelbaum 2014). Levy and Mandelbaum (2014) have gone further and claimed that the automaticity of believing has implications for the ethics of belief in that it creates epistemic obligations for those who know about their automatic belief acquisition. I use theoretical considerations and psychological findings to raise doubts about the empirical case for the (...) view that we automatically believe what we think. Furthermore, I contend that even if we set these doubts aside, Levy and Mandelbaum’s argument to the effect that the automaticity of believing creates epistemic obligations is not fully convincing. (shrink)

This 10th book in the series addresses automaticity and how it relates to social behavior.

Cognitive neuroscience is the branch of neuroscience that studies the neural mechanisms underpinning cognition and develops theories explaining them. Within cognitive neuroscience, computational neuroscience focuses on modeling behavior, using theories expressed as computer programs. Up to now, computational theories have been formulated by neuroscientists. In this paper, we present a new approach to theory development in neuroscience: the automatic generation and testing of cognitive theories using genetic programming (GP). Our approach evolves from experimental data cognitive theories that explain “the mental (...) program” that subjects use to solve a specific task. As an example, we have focused on a typical neuroscience experiment, the delayed-match-to-sample (DMTS) task. The main goal of our approach is to develop a tool that neuroscientists can use to develop better cognitive theories. (shrink)