An investigation into the neural substrates of virtue to determine the key place of virtues in human moral development

Virtues, as described by Aristotle and Aquinas, are understood as dispositions of character to behave in habitual, specific, positive ways; virtue is a critical requirement for human flourishing. From the perspective of Aristotelian-Thomistic anthropology which offers an integrated vision of the material and the rational in the human person, I seek to identify the neural bases for the development and exercise of moral virtue. First I review current neuroscientific knowledge of the capacity of the brain to structure according to experience, to facilitate behaviours, to regulate emotional responses and support goal election. Then, having identified characteristics of moral virtue in the light of the distinctions between cardinal virtues, I propose neural substrates by mapping neuroscientific knowledge to these characteristics. I then investigate the relationship between virtue, including its neurobiological features, and human flourishing. This process allows a contemporary and evidence-based corroboration for a model of moral development based on growth in virtue as understood by Aristotle and Aquinas, and a demonstration of a biological aptitude and predisposition for the development of virtue. Conclusions are drawn with respect to science, ethics, and parenting

TOWARDS THE GROUNDING OF ABSTRACT CATEGORIES IN COGNITIVE ROBOTS

The grounding of language in humanoid robots is a fundamental problem, especially in social scenarios which involve the interaction of robots with human beings. Indeed, natural language represents the most natural interface for humans to interact and exchange information about concrete entities like KNIFE, HAMMER and abstract concepts such as MAKE, USE. This research domain is very important not only for the advances that it can produce in the design of human-robot communication systems, but also for the implication that it can have on cognitive science. Abstract words are used in daily conversations among people to describe events and situations that occur in the environment. Many scholars have suggested that the distinction between concrete and abstract words is a continuum according to which all entities can be varied in their level of abstractness. The work presented herein aimed to ground abstract concepts, similarly to concrete ones, in perception and action systems. This permitted to investigate how different behavioural and cognitive capabilities can be integrated in a humanoid robot in order to bootstrap the development of higher-order skills such as the acquisition of abstract words. To this end, three neuro-robotics models were implemented. The first neuro-robotics experiment consisted in training a humanoid robot to perform a set of motor primitives (e.g. PUSH, PULL, etc.) that hierarchically combined led to the acquisition of higher-order words (e.g. ACCEPT, REJECT). The implementation of this model, based on a feed-forward artificial neural networks, permitted the assessment of the training methodology adopted for the grounding of language in humanoid robots. In the second experiment, the architecture used for carrying out the first study was reimplemented employing recurrent artificial neural networks that enabled the temporal specification of the action primitives to be executed by the robot. This permitted to increase the combinations of actions that can be taught to the robot for the generation of more complex movements. For the third experiment, a model based on recurrent neural networks that integrated multi-modal inputs (i.e. language, vision and proprioception) was implemented for the grounding of abstract action words (e.g. USE, MAKE). Abstract representations of actions ("one-hot" encoding) used in the other two experiments, were replaced with the joints values recorded from the iCub robot sensors. Experimental results showed that motor primitives have different activation patterns according to the action's sequence in which they are embedded. Furthermore, the performed simulations suggested that the acquisition of concepts related to abstract action words requires the reactivation of similar internal representations activated during the acquisition of the basic concepts, directly grounded in perceptual and sensorimotor knowledge, contained in the hierarchical structure of the words used to ground the abstract action words.This study was financed by the EU project RobotDoC (235065) from the Seventh Framework Programme (FP7), Marie Curie Actions Initial Training Network

Conversion converted : a new model of Christian conversion in light of Wesleyan theology and nonreductive physicalism

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What Permits Small Firms to Compete in High-Tech Industries? Inter-Organizational Knowledge Creation in the Taiwanese Computer Industry

This paper addresses a puzzle related to firm size and competition. Since Stephen Hymer´s pioneering contribution (Hymer, 1960/1976), theories of the firm implicitly assume that only large, diversified multinational enterprises can compete in industries that combine high capital intensity, high knowledge-intensity and a high degree of internationalization. Small firms, by definition, have limited resources and capabilities and are unlikely to possess substantial ownership advantages. They also have a limited capacity to influence and shape the development of markets, market structure and technological change. One would thus expect that they are ill-equipped to compete in a knowledge-intensive industry that is highly globalized. Taiwan’s experience in the computer industry tells a different story: despite the dominance of small- and medium-sized enterprises (SMEs), Taiwan successfully competes in the international market for PC-related products, key components and knowledge-intensive services. The paper inquires into how this was possible. It is argued that organizational innovations related to the creation of knowledge are of critical importance. Taiwanese computer firms were able to develop their own distinctive approach: due to their initially very narrow knowledge base, access to external sources of knowledge has been an essential prerequisite for their knowledge creation. Such “inter-organizational knowledge creation” (Nonaka and Takeuchi, 1995) was facilitated by two factors: active, yet selective and continuously adjusted industrial development policies; and a variety of linkages with large Taiwanese business groups, foreign sales and manufacturing affiliates and an early participation in international production networks established by foreign electronics companies. A novel contribution of this paper is its focus on inter-organizational knowledge creation. I first describe Taiwan´s achievements in the computer industry. The dominance of SMEs and their role as a source of flexibility is documented in part II. Part III describes some policy innovations that have shaped the process of knowledge creation. The rest of the paper inquires how inter-organizational knowledge creation has benefited from a variety of linkages with large domestic and foreign firms; I also address some industrial upgrading requirements that result from this peculiar type of knowledge creation.knowledge creation; learning; small firms; networks; firm strategy; industrial policies;

The Simulation of Smiles (SIMS) model: Embodied simulation and the meaning of facial expression

Recent application of theories of embodied or grounded cognition to the recognition and interpretation of facial expression of emotion has led to an explosion of research in psychology and the neurosciences. However, despite the accelerating number of reported findings, it remains unclear how the many component processes of emotion and their neural mechanisms actually support embodied simulation. Equally unclear is what triggers the use of embodied simulation versus perceptual or conceptual strategies in determining meaning. The present article integrates behavioral research from social psychology with recent research in neurosciences in order to provide coherence to the extant and future research on this topic. The roles of several of the brain's reward systems, and the amygdala, somatosensory cortices, and motor centers are examined. These are then linked to behavioral and brain research on facial mimicry and eye gaze. Articulation of the mediators and moderators of facial mimicry and gaze are particularly useful in guiding interpretation of relevant findings from neurosciences. Finally, a model of the processing of the smile, the most complex of the facial expressions, is presented as a means to illustrate how to advance the application of theories of embodied cognition in the study of facial expression of emotion.Peer Reviewe

The proximate mechanisms and ultimate functions of smiles

Niedenthal et al's classification of smiles erroneously conflates psychological mechanisms and adaptive functions. This confusion weakens the rationale behind the types of smiles they chose to individuate, and it obfuscates the distinction between the communicative versus denotative nature of smiles and the role of perceived-gaze direction in emotion recognitio