The goal of this research is to understand the interaction of implicit and explicit psychological processes in dealing with emotional distractions and meta-cognitive control of such distractions. The questions are how emotional and meta-cognitive processes can be separated into implicit and explicit components, and how such a separation can be utilized to improve self-regulation of emotion, which can have significant theoretical and practical implications.

For over a decade neuroscience has uncovered that appropriate decision-making in daily life decisions results from a strong interplay between cognition and covert biases produced by emotional processes. This interplay is particularly important in social contexts: lesions in the pathways supporting these processes provoke serious impairments on social behavior. One important mechanism in social contexts is empathy, fundamental for appropriate social behavior. This paper presents arguments supporting this connection between cognition and emotion, in individual as well as in social contexts. (...) The central claim of this paper is that biologically inspired cognitive architectures ought to include these mechanisms. A taxonomy of computational models addressing emotions is presented, together with a brief survey of the research published in this area. The Prisoner Dilemma game is used as a case study exposing the trade-off between individual rationality and cooperative behavior. Experiments using a simple implementation of empathy and emotion expression, employing an Iterated Prisoner Dilemma setup, illustrate the emergence of a cooperative behavior mutually beneficial for both players. (shrink)

‘Valence’ is used in many different ways in emotion theory. It generally refers to the ‘positive’ or ‘negative’ character of an emotion, as well as to the ‘positive’ or ‘negative’ character of some aspect of emotion. After reviewing these different uses, I point to the conceptual problems that come with them. In particular, I dis- tinguish: problems that arise from conflating the valence of an emotion with the valence of its aspects, and problems that arise from the very idea that (...) an emotion (and/or its aspects) can be divided into mutually exclusive opposites. The first group of problems does not question the classic dichotomous notion of valence, but the second does. In order to do justice to the richness of daily emotions, emo- tion science needs more complex conceptual tools. (shrink)

Este trabajo examina si la pregunta “¿puede pensar una máquina?” ha sido respondida de manera satisfactoria. La primera sección, justamente, examina el dictum cartesiano según el cual una máquina no puede pensar en principio. La segunda trata sobre una rebelión en contra de Descartes, encabezada por Babbage. A su vez, la tercera describe una segunda rebelión encabezada por Turing. En ambas se examina, primero el lenguaje mentalista/instrumentalista para describir a una máquina programada y segundo, el reemplazo de la pregunta por (...) el Juego de la Imitación. En la cuarta sección sostengo que la evidencia aportada por dicho juego nos devuelve a la pregunta, pese a Turing. Por último, la quinta sección versa sobre cómo la Habitación China de Searle, paradójicamente, apoya el dictum cartesiano, y lo hace porque tal experimento mental se basa en una capacidad mental falible: la introspección. Se concluye que la pregunta acerca de si puede pensar una máquina es derivada de otra pregunta filosófica compleja: la de la naturaleza de lo mental y el problema mente-cuerpo. (shrink)

Computational models of emotions have been thriving and increasingly popular since the 1990s. Such models used to be concerned with the emotions of individual agents when they interact with other agents. Out of the array of models for the emotions, we are going to devote special attention to the approach in Adamatzky’s Dynamics of Crowd-Minds. The reason it stands out, is that it considers the crowd, rather than the individual agent. It fits in computational intelligence. It works by mathematical simulation (...) on a crowd of simple artificial agents: by letting the computer program run, the agents evolve, and crowd behaviour emerges. Adamatzky’s purpose is to give an account of the emergence of allegedly “irrational” behaviour. This is not without problem, as the irrational to one person may seem entirely rational to another, and this in turn is an insight that, in the history of crowd psychology, has affected indeed the competition among theories of crowd dynamics. Quite importantly, Adamatzky’s book argues for the transition from individual agencies to a crowd’s or a mob’s coalesced mind as so, and at any rate for coalesced crowd’s agency. (shrink)

In this paper I link two hitherto disconnected sets of results in the philosophy of emotions and explore their implications for the computational theory of mind. The argument of the paper is that, for just the same reasons that some computationalists have thought that cognition may be a natural kind, so the same can plausibly be argued of emotion. The core of the argument is that emotions are a representation-governed phenomenon and that the explanation of how they figure in behaviour (...) must as such be undertaken in those terms. I conclude with some interdisciplinary reflections in defence of the hypothesis that emotions might be more fundamental in the organization of behaviour than cognition; that, in effect, we may be emoters before we are cognizers . The aim of the paper is: (1) to introduce a number of promising results in philosophical and empirical emotion theory to a wider audience; and (2) to begin the task of organizing those results into a computational theoretical framework. (shrink)