Emotional feeling can be defined as the affective constituent of emotions representing a subjective experience such as, for example, feeling love or hate. Several recent neuroimaging studies have focused on this affective component of emotions thereby aiming to characterise the underlying neural correlates. These studies indicate that the orbitomedial prefrontal cortex is crucially involved in the processing of emotional feeling. It is the aim of this paper to analyse the extent to which the present state of the art in neuroscience (...) enables emotional feeling to be related to specific brain regions. In the first step, methodological and theoretical problems in the investigation of emotional feeling will be discussed leading to the characterisation of a “twofold gap.” This gap represents (a) the theoretical difficulties encountered in transforming vivid subjective experience into a theoretical psychological concept, and (b) the problems of implementing such a concept by performing empirical studies. Based on these considerations we suggest approaches for future empirical studies. In the second step, a group of functional neuroimaging studies focusing on the affective constituent of emotions will be discussed in detail with regard to the theoretical problems outlined in the first step. (shrink)

To perceive an affordance is to perceive an object or situation as presenting an opportunity for action. The concept of affordances has been taken up across wide range of disciplines, including AI. I explore an interesting extension of the concept of affordances in robotics. Among the affordances that artificial systems have been engineered to detect are affordances to deliberate. In psychology, affordances are typically limited to bodily action, so the it is noteworthy that AI researchers have found it helpful to (...) extend the concept to encompass mental actions. I propose that psychologists can learn from this extension, and argue that human subjects can perceive mental affordances, such as affordances to attend, affordances to imagine and affordances to count. (shrink)

In this paper, we suggest that affect meets the traditional definition of “cognition” such that the affect–cognition distinction is phenomenological, rather than ontological. We review how the affect–cognition distinction is not respected in the human brain, and discuss the neural mechanisms by which affect influences sensory processing. As a result of this sensory modulation, affect performs several basic “cognitive” functions. Affect appears to be necessary for normal conscious experience, language fluency, and memory. Finally, we suggest that understanding the differences between (...) affect and cognition will require systematic study of how the phenomenological distinction characterising the two comes about, and why such a distinction is functional. (shrink)

Current theories of emotion have often excluded emotional feeling from the core of emotion, thereby associating emotional feeling with high order processing. In contrast, we characterize emotional feeling as a basic process that is fundamentally involved in emotional processing. Emotional feeling is further described by the phenomenal features of unity and qualitativeness. Based on recent imaging data, we assume that neural activity in the anterior cortical midline structures is crucial for constituting emotional feeling. The phenomenal feature of unity could be (...) reflected in the connectivity pattern of the aCMS. What phenomenally is described as qualitativeness may correspond to what is psychologically termed valence. (shrink)

Certain emotional processes “bypass the will” and even awareness, whereas others arise due to the deliberative evaluation of objects, states, and events. It is important to differentiate between the automatic versus reflective origins of emotional processes, and sensory versus conceptual bases of diverse negative and positive emotions. A taxonomy of emotions based on different origins is presented. This taxonomy distinguishes between negative and positive automatic versus reflective emotions. The automatic emotions are connected with the (a) homeostatic and (b) hedonistic regulatory (...) mechanisms. The reflective emotions—uniquely human—are described in reference to deliberative processes and appraisals based on two types of conceptual and verbalized evaluative standards: (a) ideal self-standards and (b) general, axiological standards of good and evil. (shrink)

In the book "Conceptual Spaces: the Geometry of Thought" [2000] Peter Gärdenfors proposes a new framework for cognitive science. Complementary to symbolic and subsymbolic [connectionist] descriptions, conceptual spaces are semantic structures — constructed from empirical data — representing the universe of mental states. We argue that Gärdenfors' modeling can be used in consciousness research to describe the phenomenal conscious world, its elements and their intrinsic relations. The conceptual space approach affords the construction of a universal state space of human consciousness, (...) where all possible kinds of human conscious states could be mapped. Starting from this approach, we discuss the inclusion of feelings and emotions in conceptual spaces, and their relation to perceptual and cognitive states. Current debate on integration of affect/emotion and perception/cognition allows three possible descriptive alternatives: emotion resulting from basic cognition; cognition resulting from basic emotion, and both as relatively independent functions integrated by brain mechanisms. Finding a solution for this issue is an important step in any attempt of successful modeling of natural or artificial consciousness. After making a brief review of proposals in this area, we summarize the essentials of a new model of consciousness based on neuro-astroglial interactions. (shrink)

While much is known about the prevalence and impact of incivility in the workplace, relatively less is known about those who instigate workplace incivility. This research aims to investigate incivility instigation through a moral lens by examining the roles of other-condemning moral emotions (contempt, disgust, and anger) and appraisals of coworkers’ morality as predictors of this behavior at work. In Study 1, we used structural equation modeling to analyze two waves of self-report data collected from a sample of 447 full-time (...) United States (U.S.) working adults. Findings from this study indicate that appraising coworkers as low in morality elicited feelings of contempt, disgust, and anger. However, only contempt predicted incivility instigation and mediated the relationship between appraising coworkers as low in morality and instigating incivility. In Study 2, we collected self-report data from a sample of 309 full-time U.S. workers using a critical incident technique. Structural equation modeling was used to analyze the data. Results from Study 2 replicated the association between low morality appraisals and contempt, anger, and disgust found in Study 1. However, anger predicted incivility instigation and mediated the relationship between appraising coworkers as low in morality and instigating incivility. Additionally, contempt and perceived civility norms had an interactive effect on instigated incivility. These studies provide insight into the roles of contempt, disgust, and anger in predicting incivility instigation, suggesting that employees may engage in incivility to condemn others who engage in moral transgressions. Theoretical and practical implications are discussed. (shrink)

Wayne D. Christensen and Cliff A. Hooker.

I claim that in order to pass the Turing Test over any period of extended time, it will necessary to embed the entity into society. This chapter discusses why this is, and how it might be brought about. I start by arguing that intelligence is better characterised by tests of social interaction, especially in open-ended and extended situations. I then argue that learning is an essential component of intelligence and hence that a universal intelligence is impossible. These two arguments support (...) the relevance of Turing Test as a particular but appropriate test of interactive intelligence. I look to the human case to argue that individual intelligence utilises society to a considerable extent for its development. Taking a lead from the human case I outline how a socially embedded artificial intelligence might be brought about in terms of four aspects: free-will, emotion, empathy and self-modelling. In each case I try to specify what social ‘hooks’ might be required in order for the full ability to develop during a considerable period of in situ acculturation. The chapter ends by speculating what it might be like to live with the result. (shrink)

The representation of objects and faces by neurons in the temporal lobe visual cortical areas of primates has the property that the neurons encode relatively independent information in their firing rates. This means that the number of stimuli that can be encoded increases exponentially with the number of neurons in an ensemble. Moreover, the information can be read by receiving neurons that perform just a synaptically weighted sum of the firing rates being received. Some ways in which these representations become (...) grounded in the world are described. The issue of syntactic binding in representations, and of its value for a higher order thought system, is discussed. (shrink)

In this paper, we outline a theory of the nature of self-directed agents. What is distinctive about self-directed agents is their ability to anticipate interaction processes and to evaluate their performance, and thus their sensitivity to context. They can improve performance relative to goals, and can, in certain instances, construct new goals. We contrast self-directedness with reactive action processes that are not modifiable by the agent, though they may be modified by supra-agent processes such as populational adaptation or external design.Self-directedness (...) lies at the nexus of issues concerning the evolution and nature of intentionality, intelligence, and agency. It provides some insight into the evolution of intelligence because it helps explain how organisms are able to manage variable interaction processes, e.g., a hunting strategy that varies with prey type, ground condition, and hunger level. Simple self-directed organisms like bumblebees manage variability in one or a few dimensions. (shrink)

We present an analysis of emotional experience in terms of beliefs and desires viewed as its minimal cognitive constituents. We argue that families of emotions can be identified because their members share some of these constituents. To document this claim, we analyze one family of emotions—which includes the feeling of inferiority, admiration, envy, and jealousy—trying to show that the distinctiveness of each emotion is due to the specific compound of beliefs and desires it implies, whereas the kinship among related emotions (...) is due to their sharing of cognitive or motivational components. Finally, we address the gestalt problem, that is, the question of how it is possible that emotions, although consisting of several “atomic” elements, are felt as unitary experiences. (shrink)