The article describes the author's approach to the construction of general-level artificial cognitive agents based on the so-called "semantic supervised learning", within which, in accordance with the hybrid paradigm of artificial intelligence, both machine learning methods and methods of the symbolic ap­ proach and knowledge-based systems are used ("good old-fashioned artificial intelligence"). А descrip­ tion of current proЬlems with understanding of the general meaning and context of situations in which narrow AI agents are found is presented. The definition of (...) semantic supervised learning is given and its relationship with other machine learning methods is described. In addition, а thought experiment is presented, which shows the essence and meaning of supervised semantic learning. (shrink)

We explore and critically reflect on the process of science and engineering research assistant skill development both within laboratory-based research teams and, when no team is present, within the faculty supervisor-research assistant interactions. Using a performance-based measure of research skill development, we identify research assistants who, over the course of an academic year of service as a researcher, markedly developed, modestly developed, or failed to develop their research skills. Interviews with these research assistants and their faculty supervisors, seen through the (...) lens of cognitive apprenticeship, provide insight into this variation. We found that within the contours of supervisory relationships and research teams, research skill development is indelibly shaped, for better or worse, by supervisor influence and abundant trial-and-error. (shrink)

The free energy principle says that any self-organising system that is at nonequilibrium steady-state with its environment must minimize its free energy. It is proposed as a grand unifying principle for cognitive science and biology. The principle can appear cryptic, esoteric, too ambitious, and unfalsifiable—suggesting it would be best to suspend any belief in the principle, and instead focus on individual, more concrete and falsifiable ‘process theories’ for particular biological processes and phenomena like perception, decision and action. Here, I (...) explain the free energy principle, and I argue that it is best understood as offering a conceptual and mathematical analysis of the concept of existence of self-organising systems. This analysis offers a new type of solution to long-standing problems in neurobiology, cognitive science, machine learning and philosophy concerning the possibility of normatively constrained, self-supervised learning and inference. The principle can therefore uniquely serve as a regulatory principle for process theories, to ensure that process theories conforming to it enable self-supervision. This is, at least for those who believe self-supervision is a foundational explanatory task, good reason to believe the free energy principle. (shrink)

Viewing workplace deviance within a victim precipitation framework, we explore how abusive supervisors target subordinates low in core self-evaluations to explain when such employees respond by engaging in workplace deviance. We theorize that employees who are lower in CSE receive more abusive supervision, which generates subsequent harmful reactions toward supervisors, peers, and the organization. This occurs primarily when employees lack sufficient cognitive resources in dealing with supervisor abuse. We test, replicate, and extend our theoretical model in three empirical (...) studies. Results demonstrate that lower employee CSE drew more abusive supervision and led low-CSE employees to exhibit workplace deviance. This abusive supervision mediation effect was stronger for employees with comparatively lower cognitive ability levels. The findings are discussed with regard to theoretical and ethical issues in confronting employee abuse. (shrink)

Abusive supervision is quite common in the service industry. Employees’ proactive customer service performance is essential for the long-term development of service enterprises. This study enriches the antecedents of proactive customer service performance from a new theoretical perspective by incorporating the analysis of abusive supervision into the theoretical framework and fills the research gap between customer orientation and proactive customer service performance. Based on Affective Events Theory and Social Cognitive Theory, this study established the structure equation model (...) between abusive supervision and proactive customer service performance mediated by affective commitment and customer orientation. Utilizing structural equation modeling, a negative association between abusive supervision and proactive customer service performance was found, and affective commitment and customer orientation act as the mediators between abusive supervision and proactive customer service performance. In addition, the implications for future study were also discussed. (shrink)

Work procrastination is a retreat behavior associated with negative cognitive experience and it results in great losses to individual as well as organizational development. Understanding the antecedents of employees’ work procrastination behavior contributes to lower frequency of its occurrence. This research builds a dual-moderated mediation model from the perspective of cognitive appraisal theory and explored work procrastination behavior of employees subjected to abusive supervision. With 378 valid returned questionnaires, data collected from 32 companies in Beijing, Shanghai, Tianjin, (...) and Chongqing supports our hypotheses. This result has enriched the understanding of work procrastination behavior and provided practical implications to avoide its negative effects. (shrink)

Most empirical work in human categorization has studied learning in either fully supervised or fully unsupervised scenarios. Most real-world learning scenarios, however, are semi-supervised: Learners receive a great deal of unlabeled information from the world, coupled with occasional experiences in which items are directly labeled by a knowledgeable source. A large body of work in machine learning has investigated how learning can exploit both labeled and unlabeled data provided to a learner. Using equivalences between models found in human categorization and (...) machine learning research, we explain how these semi-supervised techniques can be applied to human learning. A series of experiments are described which show that semi-supervised learning models prove useful for explaining human behavior when exposed to both labeled and unlabeled data. We then discuss some machine learning models that do not have familiar human categorization counterparts. Finally, we discuss some challenges yet to be addressed in the use of semi-supervised models for modeling human categorization. (shrink)

The invisibility of nursing work has been discussed in the international literature but not in relation to learning clinical skills. Evans and Guile's (Practice‐based education: Perspectives and strategies, Rotterdam: Sense, 2012) theory of recontextualisation is used to explore the ways in which invisible or unplanned and unrecognised learning takes place as newly qualified nurses learn to delegate to and supervise the work of the healthcare assistant. In the British context, delegation and supervision are thought of as skills which are (...) learnt “on the job.” We suggest that learning “on‐the‐job” is the invisible construction of knowledge in clinical practice and that delegation is a particularly telling area of nursing practice which illustrates invisible learning. Using an ethnographic case study approach in three hospital sites in England from 2011 to 2014, we undertook participant observation, interviews with newly qualified nurses, ward managers and healthcare assistants. We discuss the invisible ways newly qualified nurses learn in the practice environment and present the invisible steps to learning which encompass the embodied, affective and social, as much as the cognitive components to learning. We argue that there is a need for greater understanding of the “invisible learning” which occurs as newly qualified nurses learn to delegate and supervise. (shrink)

Three experiments with 88 college-aged participants explored how unlabeled experiences—learning episodes in which people encounter objects without information about their category membership—influence beliefs about category structure. Participants performed a simple one-dimensional categorization task in a brief supervised learning phase, then made a large number of unsupervised categorization decisions about new items. In all three experiments, the unsupervised experience altered participants’ implicit and explicit mental category boundaries, their explicit beliefs about the most representative members of each category, and even their memory (...) for the items encountered during the supervised learning phase. These changes were influenced by both the range and frequency distribution of the unlabeled stimuli: mental category boundaries shifted toward the middle of the range and toward the trough of the bimodal distribution of unlabeled items, whereas beliefs about the most representative category members shifted toward the modes of the unlabeled distribution. One consequence of this shift in representations is a false-consensus effect (Experiment 3) where participants, despite receiving very disparate training experiences, show strong agreement in judgments about representativeness and boundary location following unsupervised category judgments. (shrink)

Drawing on the theory of cognitive-affective processing system and that of construal level, we propose a moderated mediation model illustrating the relationship among abusive supervision, shame, construal level, and work withdrawal. We tested this model with a two-source time-lagged survey of 387 employees from 129 work teams in central and East China. Results revealed that abusive supervision had a positive association with the emotion of shame and supported the mediating role of shame linking abusive supervision to (...) work withdrawal. Besides, our findings supported the buffering effect of construal level on the shame-work withdrawal relationship as well as the indirect relationship between abusive supervision and work withdrawal channeled through the emotion of shame. (shrink)

The purpose of cognitive diagnostic modeling is to classify students' latent attribute profiles using their responses to the diagnostic assessment. In recent years, each diagnostic classification model makes different assumptions about the relationship between a student's response pattern and attribute profile. The previous research studies showed that the inappropriate DCMs and inaccurate Q-matrix impact diagnostic classification accuracy. Artificial Neural Networks have been proposed as a promising approach to convert a pattern of item responses into a diagnostic classification in some (...) research studies. However, the ANNs methods produced very unstable and unappreciated estimation unless a great deal of care was taken. In this research, we combined ANNs with two typical DCMs, the deterministic-input, noisy, “and” gate model and the deterministic-inputs, noisy, “or” gate model, within a semi-supervised learning framework to achieve a robust and accurate classification. In both simulated study and real data study, the experimental results showed that the proposed method could achieve appreciated performance across different test conditions, especially when the diagnostic quality of assessment was not high and the Q-matrix contained misspecified elements. This research study is the first time of applying the thinking of semi-supervised learning into CDM. Also, we used the validating test to choose the appropriate parameters for the ANNs instead of using typical statistical criteria. (shrink)

This timely volume conceptualises and applies the philosophical notions of wonder, wander, and whisper, serving as evaluative paradigms for objective assessment of quality doctoral research work and supervision in South African higher education. Written by one of the foremost academics in the field, the book combines the normative philosophical, educational and moral notions of wonder, wander, and whisper with academic life and studies, focusing on doctoral work and supervision not just as cognitive or scientific processes, but also (...) as existential, ethical, and political shaping of the self. By reflecting on three decades of doctoral supervision, the author gives an account of how his students have been initiated into moral discourses of democratic citizenship education and the intellectual adventures they have embarked upon through scholarly texts. The book also presents itself as a decolonial venture that repositions and resituates doctoral education in resistance to the hegemony of colonisation, inhumanity, inequality, unfreedom and injustice in Southern Africa. Ultimately arguing for the relevance of wonder, wander, and whisper in academic culture, the book will appeal to scholars, researchers, and postgraduates in the fields of higher education, philosophy of education, and sociology of education as well as African Education and doctoral studies more broadly. (shrink)

Driven by the cognitive-neoassociationistic model of aggression, this study examines how supervisors’ negative affect at work influences their interaction with subordinates, which further affects subordinate outcomes. Drawing upon research on power/resource interdependence and victim precipitation theory, we also test whether the positive relationship between supervisors’ negative affect and abusive supervision is moderated by leader–member exchange. Using one hundred and eighty supervisor–subordinate dyads from five hotels, we found that, supervisors’ negative affect at work was positively related to abusive (...) class='Hi'>supervision, LMX buffered the positive association between supervisors’ negative affect and abusive supervision, and the indirect effects of supervisors’ negative affect on subordinate outcomes via abusive supervision was buffered by LMX, such that the indirect effects were only found in dyads with lower LMX, but not in dyads with higher LMX. Theoretical contributions and practical implications for managers and organizations were also discussed. (shrink)

Building on the emerging research on antecedents of abusive supervision, the current research offers an empirical investigation concerning how and when supervisor psychological entitlement instigates abusive supervision in the workplace. Specifically, drawing on social cognitive theory, we develop and test a moderated-mediation model delineating the process that prompts psychologically entitled supervisors to become abusive towards subordinates. We argue that supervisor psychological entitlement facilitates supervisor moral disengagement, which subsequently incites supervisory abusive behaviors. We also argue that supervisor moral (...) identity and core self-evaluation are likely to play an essential role in predicting the relationship between supervisor psychological entitlement and abusive supervision. We argue that supervisor psychological entitlement is more likely to instigate abusive supervision through moral disengagement when the magnitudes of supervisor MI and CSE are weaker. We test our theoretical model utilizing time-lagged, multisource data from a variety of organizations in the United States. We find general support for our hypotheses. We discuss implications for theory and practice as well as future research avenues. (shrink)

This article challenges the unidimensional view of abusive supervisors and examines how employees respond to abuse when the transgressing boss also has a positive impact on others. Drawing on deonance and fairness theory, we propose competing hypotheses about the influence of prosocial impact. Specifically, we use deonance theory to suggest that prosocial impact might buffer the effects of abusive supervision. Alternatively, we incorporate fairness theory to predict that prosocial impact strengthens injustice perceptions and thereby worsens consequences of abuse. Two (...) field studies show support for fairness theory, demonstrating that employees perceive greater injustice, and show stronger retaliatory behaviors, when the abusive supervisor makes a positive difference in the workplace. A final field study replicates these results, while also testing the underlying cognitive process employees use to assess the interplay between “good” and “bad” supervisory characteristics. This article contributes insights to abusive supervision, prosocial impact, organizational justice, and behavioral ethics literatures. (shrink)

Leader behavior significantly influences employees’ safety performance. This study aimed to examine the effect of abusive supervision on the safety behaviors of subordinates. By drawing on the strength model of self-control, we predicted that abusive supervision would negatively affect safety behaviors through emotional exhaustion, and trait self-control and attentional bias toward safety would moderate the relationship between abusive supervision, emotional exhaustion, and safety behaviors. Our hypothesized model was supported by results from a sample of 159 workers at (...) a chemical product manufacturing enterprise in China. Emotional exhaustion mediated the link between abusive supervision and safety behaviors. Moreover, trait self-control moderated the relationship between abusive supervision and emotional exhaustion, and attentional bias toward safety moderated the relationship between emotional exhaustion and safety compliance. This study elucidates the effects of abusive supervision on safety behaviors through the resource depletion process. Likewise, the importance of trait self-control and attentional bias toward safety in mitigating the potentially harmful effects of abusive supervision in workplace safety is highlighted. Minimizing abusive supervision, providing self-control training, and implementing safety-specific implicit cognition intervention can effectively improve employees’ safety behaviors. (shrink)

The last two decades have seen a mounting fascination with unethical and destructive forms of leadership. Yet, do we know what all encapsulates this “dark” side of leadership? Despite initial evidence that exploitation is a notable addition to the unethical leadership scene, our understanding of its distinctiveness as well as of how and why it exerts its negative effects is limited. We speak to this gap by testing the distinct mechanisms through which exploitative leadership—relative to the more popular counterpart, abusive (...) supervision—affects followers. Borrowing from the aggression literature, we describe exploitative leadership and abusive supervision as varying forms of aggression that undermine followers’ satisfaction with the leader via altered experiences of their social exchange relationship. Our theoretical model proposes that abusive supervision, as an inherently interpersonal provocation, primarily implicates followers’ emotional experiences within the social exchange process. By contrast, given its inherent focus on self-interest, exploitative leadership is assumed to affect followers primarily through the cognitive understanding of the social exchange. Results from multiple studies using different samples, measures, and research designs provide general support for our predictions. In sum, the evidence emerging from our data shows that exploitative leadership is not a symptom of construct proliferation but rather, adds cumulative knowledge to the field of unethical and destructive leadership. (shrink)

Unlike in Western countries, scholars and the Chinese government pay less attention to the role of extracurricular activities in fostering children’s cognitive and non-cognitive well-being. Accordingly, essential ECAs such as visual arts programs are serviced by expensive privately owned schools, creating social injustice. The primary aim of the current study is to examine whether children benefit from ECAs if parental support and guidance for managing time spent on ECAs and academics exist based on the threshold model. The study (...) comprised over 2,400 primary school students in one Chinese province and considered the SES of the area. Surprisingly, the present study’s findings illustrate that contemporary Chinese parents differ from traditionally aggressive and overbearing parents who do not value their children’s interests. However, the current study finding suggested that children’s participation in out-of-school visual art activities doesn’t have a substantial value in promoting children’s academic performance in the face of genuine interest and supportive parenting, which negates the threshold model. (shrink)

This work aims to solve the complex problems of non-linearity, instability, and multiple economic factors in the tax forecast of the ceramic industry to ensure the sustainable development of the ceramic industry. The key influential indicators of the tax forecast are obtained by analyzing the principal components affecting the tax index. In addition, a human-computer interaction system is established based on cognitive psychology theory to improve the user-friendliness of tax analysis. At the same time, the tax data of the (...) ceramic industry in Jingdezhen City, Jiangxi Province in different years are used for the empirical analysis of the tax prediction of different prediction models, including particle swarm optimization algorithm, and fusion algorithm, and support vector machine. This work comprehensively analyzes the influence of the optimized tax supervision mode on the economic development of the ceramic industry and provides ideas for the development of the ceramic industry in Jingdezhen. The research results demonstrate that the main indicator affecting tax revenue is the added value of the primary and secondary industries. The optimized SVM based on grid search method can provide a comprehensive data base for tax forecasting. The optimization of the computer system based on cognitive psychology improves the model prediction accuracy by 10%, and the absolute error decreases from 6.9 to 1.8%. The tax forecast results indicate that the tax imbalance in Jingdezhen is increasing. Therefore, the government needs to attach great importance to the development of the ceramic industry and strictly implement the tax policy. The tax supervision model can alleviate the problems of low fiscal contribution rate, tax evasion, and management loopholes. In addition, the SVM tax prediction model optimized by grid search method will lay a theoretical foundation for the research and application of taxation in the ceramic industry. (shrink)

Pharmacological cognitive enhancement (PCE) refers to the use of pharmaceuticals to improve cognitive function when that use is not intended to prevent or treat disease. Those who favour a liberal approach to PCE trust users to make informed decisions about whether enhancing is in their best interest. The author argues that making informed decisions about PCE requires a nuanced risk-benefit analysis that is not accessible to many users. Presently, the PCE use of prescription medications such as methylphenidate and (...) modafinil is widespread but most commonly happens without medical supervision. Direct and indirect barriers generate a situation where the risks and benefits of PCE are inequitably distributed; as a result, PCE is sometimes not in the user’s best interest. This is likely to also be the case for future pharmaceuticals. As a result, even if PCE pharmaceuticals were equitably distributed, its associated risks and benefits would not be. The article concludes with a discussion of the prospects of the clinical consultation on one hand, and e-health solutions on the other, in ameliorating the situation, arguing for cautious optimism. (shrink)

This study explores the dark side of leadership, treats creative self-efficacy as a mediator, and frames supervisor bullying and employee creativity in the context of social cognition and social comparison. We theorize that with a high social comparison orientation, the combination of high supervisory abuse toward themselves (own abusive supervision) and low supervisory abuse toward other team members (peer abusive supervision) leads to a double whammy effect: When employees are “singled out” for abuse, these victims suffer from not (...) only low creative self-efficacy due to supervisory abuse but also low supervisory creativity ratings. Results based on our two-wave data collected from multiple sources—253 employees and their 77 immediate supervisors—support our theory. The significant three-way interaction effect reveals that when social comparison orientation is high and peer abusive supervision is low (Time 1), own abusive supervision (Time 1) creates the strongest negative impact on creative self-efficacy (Time 2), which is significantly related to supervisory low creativity rating (Time 2). Our discoveries of egregious bullying offer provocative theoretical, empirical, and practical implications to the fields of leadership, abusive supervision, creativity, and business ethics. (shrink)

The Test Your Memory is a brief self-administered, cognitive screening test, currently used in several settings. It requires minimal administrator supervision and the computation of the final test score takes approximately 2 min. We assessed the discrimination ability of the Italian version of the TYM in detecting Mild Cognitive Impairment in clinical setting. TYM-I was administered to 94 MCI patients and 134 healthy controls. The clinical diagnosis of MCI was considered as the gold standard. An extended formal (...) neuropsychological test battery was used to define MCI subtypes. Receiver Operating Characteristic analyses were conducted to find the optimal cut-off and measure discrimination ability of TYM-I in detecting MCI. TYM-I had a similar area under the curve point estimate as Mini Mental State Examination. A TYM-I score lower or equal to 36 was found to be optimal cut off to detect MCI. The TYM-I showed the highest discrimination ability among individuals aged more than 70 and high educational level. The amnestic MCI subtype patients, compared to non-amnestic MCI patients, had worse performance in recall, orientation and visuospatial abilities TYM-I subscores. The TYM-I is a valid screening test in detecting cognitive dysfunction, easily carried out in clinical practice. The TYM-I subscores may allow to identify amnestic and non-amnestic MCI subtypes. (shrink)

Rhythm is key to language acquisition. Across languages, rhythmic features highlight fundamental linguistic elements of the sound stream and structural relations among them. A sensitivity to rhythmic features, which begins in utero, is evident at birth. What is less clear is whether rhythm supports infants' earliest links between language and cognition. Prior evidence has documented that for infants as young as 3 and 4 months, listening to their native language supports the core cognitive capacity of object categorization. This precocious (...) link is initially part of a broader template: listening to a non-native language from the same rhythmic class as and to vocalizations of non-human primates provide English-acquiring infants the same cognitive advantage as does listening to their native language. Here, we implement a machine-learning approach to ask whether there are acoustic properties, available on the surface of these vocalizations, that permit infants' to identify which vocalizations are candidate links to cognition. We provided the model with a robust sample of vocalizations that, from the vantage point of English-acquiring 4-month-olds, either support object categorization or fail to do so. We assess whether supervised ML classification models can distinguish those vocalizations that support cognition from those that do not, and which class of acoustic features best support that classification. Our analysis reveals that principal components derived from rhythm-relevant acoustic features were among the most robust in supporting the classification. Classifications performed using temporal envelope components were also robust. These new findings provide in principle evidence that infants' earliest links between vocalizations and cognition may be subserved by their perceptual sensitivity to rhythmic and spectral elements available on the surface of these vocalizations, and that these may guide infants' identification of candidate links to cognition. (shrink)

This article reviews a number of different areas in the foundations of formal learning theory. After outlining the general framework for formal models of learning, the Bayesian approach to learning is summarized. This leads to a discussion of Solomonoff's Universal Prior Distribution for Bayesian learning. Gold's model of identification in the limit is also outlined. We next discuss a number of aspects of learning theory raised in contributed papers, related to both computational and representational complexity. The article concludes with a (...) description of how semi-supervised learning can be applied to the study of cognitive learning models. Throughout this overview, the specific points raised by our contributing authors are connected to the models and methods under review. (shrink)

Since Darwin, the idea of psychological continuity between humans and other animals has dominated theory and research in investigating the minds of other species. Indeed, the field of comparative psychology was founded on two assumptions. First, it was assumed that introspection could provide humans with reliable knowledge about the causal connection between specific mental states and specific behaviors. Second, it was assumed that in those cases in which other species exhibited behaviors similar to our own, similar psychological causes were at (...) work. In this paper. we show how this argument by analogy is flowed with respect to the case of second-order mental states. As a test case, we focus on the question of how other species conceive of visual attention, and in particular whether chimpanzees interpret seeing as a mentalistic event involving internal states of perception, attention, and belief. We conclude that chimpanzees do not reason about seeing in this manner, and indeed, there is considerable reason to suppose that they do not harbor representations of mental states in general. We propose a reinterpretation model in which the majority of the rich social behaviors that humans and other primates share in common emerged long before the human lineage evolved the psychological means of interpreting those behaviors in mentalistic terms. Although humans, chimpanzees, and most other species may be said to possess mental states, humans alone may have evolved a cognitive specialization for reasoning about such states. (shrink)

When we reach to pick up an object, our actions are effortlessly informed by the object’s spatial information, the position of our limbs, stored knowledge of the object’s material properties, and what we want to do with the object. A substantial body of evidence suggests that grasps are under the control of “automatic, unconscious” sensorimotor modules housed in the “dorsal stream” of the posterior parietal cortex. Visual online feedback has a strong effect on the hand’s in-flight grasp aperture. Previous work (...) of ours exploited this effect to show that grasps are refractory to cued expectations for visual feedback. Nonetheless, when we reach out to pretend to grasp an object (pantomime grasp), our actions are performed with greater cognitive effort and they engage structures outside of the dorsal stream, including the ventral stream. Here we ask whether our previous finding would extend to cued expectations for haptic feedback. Our method involved a mirror apparatus that allowed participants to see a “virtual” target cylinder as a reflection in the mirror at the start of all trials. On “haptic feedback” trials, participants reached behind the mirror to grasp a size-matched cylinder, spatially coincident with the virtual one. On “no-haptic feedback” trials, participants reached behind the mirror and grasped into “thin air” because no cylinder was present. To manipulate haptic expectation, we organized the haptic conditions into blocked, alternating, and randomized schedules with and without verbal cues about the availability of haptic feedback. Replicating earlier work, we found the strongest haptic effects with the blocked schedules and the weakest effects in the randomized uncued schedule. Crucially, the haptic effects in the cued randomized schedule was intermediate. An analysis of the influence of the upcoming and immediately preceding haptic feedback condition in the cued and uncued random schedules showed that cuing the upcoming haptic condition shifted the haptic influence on grip aperture from the immediately preceding trial to the upcoming trial. These findings indicate that, unlike cues to the availability of visual feedback, participants take advantage of cues to the availability of haptic feedback, flexibly engaging pantomime, and natural modes of grasping to optimize the movement. (shrink)

This paper identifies human enhancement as one of the most significant areas of bioethical interest in the last twenty years. It discusses in more detail one area, namely moral enhancement, which is generating significant contemporary interest. The author argues that so far from being susceptible to new forms of high tech manipulation, either genetic, chemical, surgical or neurological, the only reliable methods of moral enhancement, either now or for the foreseeable future, are either those that have been in human and (...) animal use for millennia, namely socialization, education and parental supervision or those high tech methods that are general in their application. By that is meant those forms of cognitive enhancement that operate across a wide range of cognitive abilities and do not target specifically ‘ethical’ capacities. The paper analyses the work of some of the leading contemporary advocates of moral enhancement and finds that in so far as they identify moral qualities or moral emotions for enhancement they have little prospect of success. (shrink)

Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised (...) learning methods—namely lasso penalties, bagging, and boosting—offer subtler, more interesting analogies to human reasoning as both an individual and a social phenomenon. Despite the temptation to fall back on anthropomorphic tropes when discussing AI, however, I conclude that such rhetoric is at best misleading and at worst downright dangerous. The impulse to humanize algorithms is an obstacle to properly conceptualizing the ethical challenges posed by emerging technologies. (shrink)

We studied collaborative skill acquisition in a dynamic setting with the game Co-op Space Fortress. While gaining expertise, the majority of subjects became increasingly consistent in the role they adopted without being able to communicate. Moreover, they acted in anticipation of the future task state. We constructed a collaborative skill acquisition model in the cognitive architecture ACT-R that reproduced subject skill acquisition trajectory. It modeled role adoption through reinforcement learning and predictive processes through motion extrapolation and learned relevant control (...) parameters using both a reinforcement learning procedure and a new to ACT-R supervised learning procedure. This is the first integrated cognitive model of collaborative skill acquisition and, as such, gives us valuable insights into the multiple cognitive processes that are involved in learning to collaborate. (shrink)

How can thinking be effective in enabling us to meet our goals? If we answer this in terms of representation relations between thoughts and the world, then we are challenged to explain what representation is, which no one has been able to do. If we drop the appeal to representation, then it is hard to explain why certain inferences are good and others are not. This paper outlines a strategy for a nonrepresentationalist account of the way in which the structure (...) of reality may drive cognition. It begins by restricting our attention to certain paradigm cases of linguistically-mediated cooperative exchange. Second, it introduces a kind of nonconceptual thinking -- thinking in mental images. Third, in terms of imagistic cognition, the nonnormative conditions under which sentences are asserted and accepted is explained. Fourth, in terms of these conditions, the possibility of successful linguistic exchange in the paradigm cases is to be explained. Fifth, the strategy calls for an explanation how a language can be internalized and become a medium of intrapersonal thought. Finally, the norms of discourse can be conceived as norms that supervise the processes of linguistic exchange so explained. In this paper only the first three steps of the overall strategy will be carried out in any detail. But a strategy for completing the last three steps will be sketched. (shrink)

Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and parallel activity (...) producers which all interface directly to the world through perception and action, rather than interface to each other particularly much. The notions of central and peripheral systems evaporateeverything is both central and peripheral. Based on these principles we have built a very successful series of mobile robots which operate without supervision as Creatures in standard office environments. (shrink)

In this paper we analyse the conditions for attributing to AI autonomous systems the ontological status of “artificial moral agents”, in the context of the “distributed responsibility” between humans and machines in Machine Ethics (ME). In order to address the fundamental issue in ME of the unavoidable “opacity” of their decisions with ethical/legal relevance, we start from the neuroethical evidence in cognitive science. In humans, the “transparency” and then the “ethical accountability” of their actions as responsible moral agents is (...) not in contradiction with the unavoidable “opacity” (unawareness) of the brain process by which they perform their moral judgements on the right action to execute. In fact, the moral accountability of our actions depends on what is immediately before and after our “moral judgements” on the right action to execute (formally, deontic first order logic (FOL) decisions). I.e., our moral accountability depends on the “ethical constraints” we imposed to our judgement before performing it in an opaque way. Anyway, our moral accountability depends overall on the “ethical assessment” or explicit “moral reasoning” after and over the moral judgement before executing our actions (deontic higher order logic (HOL) assessment). In this way, in the light of the AI “imitation game”, the consistent attribution of the status of ethically accountable artificial moral agents to autonomous AI systems depends on two similar conditions. Firstly, it depends on the presence of “ethical constraints” to be satisfied in their Machine Learning (ML) supervised optimization algorithm during its training phase, to give the system ethical skills (“competences”) in its decisions. Secondly – and definitely—, it depends on the presence in an AI autonomous system of a deontic HOL “ethical reasoner” to perform an automatic, and fully transparent assessment (metalogical deontic valuation) about the decisions taken by the ethically skilled ML algorithm about the right action to execute, before executing it. Finally, we show that the proper deontic FOL and HOL for this class of artificial moral agents is Kripke’s modal relational logic, in its algebraic topological formalization. This is naturally implemented in the dissipative QFT unsupervised deep learning of our brains, based on the “doubling of the degrees of freedom” (DDF), and then in the so-called “deep-belief” artificial neural networks for the statistical data pre-processing. This unsupervised learning procedure is also compliant with the usage of the “maximin fairness principle”, used as a balancing aggregation principle of the statistical variables in Sen’s formal theory of fairness. (shrink)

The last two decades have produced unprecedented successes in the fields of artificial intelligence and machine learning (ML), due almost entirely to advances in deep neural networks (DNNs). Deep hierarchical memory networks are not a novel concept in cognitive science and can be traced back more than a half century to Simon's early work on discrimination nets for simulating human expertise. The major difference between DNNs and the deep memory nets meant for explaining human cognition is that the latter (...) are symbolic networks meant to model the dynamics of human memory and learning. Cognition-inspired symbolic deep networks (SDNs) address several known issues with DNNs, including (1) learning efficiency, where a much larger number of training examples are required for DNNs than would be expected for a human; (2) catastrophic interference, where what is learned by a DNN gets unlearned when a new problem is presented; and (3) explainability, where there is no way to explain what is learned by a DNN. This paper explores whether SDNs can achieve similar classification accuracy performance to DNNs across several popular ML datasets and discusses the strengths and weaknesses of each approach. Simulations reveal that (1) SDNs provide similar accuracy to DNNs in most cases, (2) SDNs are far more efficient than DNNs, (3) SDNs are as robust as DNNs to irrelevant/noisy attributes in the data, and (4) SDNs are far more robust to catastrophic interference than DNNs. We conclude that SDNs offer a promising path toward human-level accuracy and efficiency in category learning. More generally, ML frameworks could stand to benefit from cognitively inspired approaches, borrowing more features and functionality from models meant to simulate and explain human learning. (shrink)

The increasing frequency and scope of financial crises has made global financial stability one of the major concerns of economic policy and decision makers. Under this highly complex environment, supervision of the financial system has to be thought of as a systemic task, focusing not only on the strength of the institutions but also on the interdependent relations among them, unraveling the structure and dynamic of the system as a whole. In recent years, network science has emerged as a (...) leading tool for the investigation of complex systems. Here we review several applications of network science in finance and economics, and discuss existing challenges and future directions which will substantiate network science as a key tool for financial academics, practitioners, and policy and decision makers. (shrink)

The study aimed to identify the knowledge management processes and their role in achieving competitive advantage at Al-Quds Open University. The study was based on the descriptive analytical method, and the study population consists of academic and administrative staff in each of the branches of Al-Quds Open University in (Tulkarm, Nablus and Jenin). The researchers selected a sample of the study population by the intentional non-probability method, the size of (70) employees. A questionnaire was prepared and supervised by a number (...) of specialists in order to obtain the results of the study. The study concluded that there is a positive direct relationship, that is, the higher the degree of application of knowledge management processes, the greater the degree of competitive advantage. Knowledge Technology came first with a score of 80.02% on all items. Competitive advantage came second with 81.74%. In the third place came "knowledge generation" where the total score on all paragraphs in this area (78.24%). In the fourth place, "knowledge transfer" (77.21%). "Developing and storing knowledge" came in fifth place (77.13%). "Acquisition of knowledge" came in sixth place (76.45%). Knowledge Organization ranked seventh (74.26%). The study recommended that the university should enable the employees to benefit from the experiences and expertise available to help generate knowledge. The University encourages the creation of knowledge through the system of incentives and open the way for creators to apply their creations and spread and invest in excellence and creativity. The university should design work performance levels based on the integration of knowledge and organize it according to policies that support freedom of research. The need for Palestinian universities to adopt a knowledge management approach. The need to adopt a system of incentives that rewards cognitive efforts, and give workers enough freedom to enable them to apply their knowledge. (shrink)