This is a book about moods. Though I will define the term somewhat more carefully in Chapter 1, it might help to note here that I use the word "mood" to refer to affective states which do not stimulate the relatively specific response tendencies we associate with "emotions". Instead, moods are pervasive and global, having the capability of influencing a broad range of thought processes and behavior. My interest in mood was provoked initially by the empirical and conceptual contri butions of Alice Isen and her colleagues. What fascinated me most was the sugges tion first made in a paper by Clark & Isen (1982) that mood seemed to affect behavior in two very different ways, i. e. , mood could "automatically" influence the availabil ity of mood-related cognitions and, thereby, behavior, or mood, especially of the "bad" variety, might capture our attention in that if it were sufficiently aversive we might consciously try to get rid of it, a "controlled" or "strategic" response.
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Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in this field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Soft-Computing Methodologies details the application of these tools to the field of control systems. Each chapter gives an overview of current approaches in the topic covered, with a set of the most important set references in the field.
Considers the legitimacy of mood as a distinctive hypothetical construct, separable from emotion. Examines theories relevant to mood and the relationship of environmental events and endogenous processes to mood onset. In a postscript, the author asserts the benefits of thinking about mood from a functional point of view. Annotation copyright Book N
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