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MOTIVATION AND EMOTION Physiological and neural mechanisms of motivation and emotion have been a particular province of biological psychology and physiology in the twentieth century. In more recent years, the elds of motivation and emotion have tended to go separate ways (see Brown, 1961, 1979). However motivation and emotion have common historical origins. In the seventeenth and eighteenth centuries, instinct doctrine served as the explanation for why organisms were driven to behave (at least infrahuman organisms without souls). Darwin s emphasis on the role of adaptive behavior in evolutionary survival resulted in the extension of instinct doctrine to human behavior. Major sources of impetus for this were Freud s and McDougall s notions of instinctive human motivation. Watson rebelled violently against the notion of instinct and rejected it out of hand, together with all biological mechanisms of motivation. As Lashley (1938) put it, he threw out the baby with the bath. Emotion The dominant theory of emotion in the rst two decades of the century was that of James and Lange We feel afraid because we run (see James, 1884). Actually, James focused more on the subjective experience of emotion, and Lange, a Danish anatomist, focused on the physiological phenomena, believing that subjective experience is not a proper topic for science. But between them they developed a comprehensive theory of emotion. The basic idea is that we rst perceive an emotionally arousing situation or stimulus ( a bear in the woods is a favorite example), which leads to bodily (physiological) changes and activities, which result in the experienced emotion. This general view was challenged by the American physiologist Walter B. Cannon in the 1920s and 1930s. He actually



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Figure 7.66 shows a plot of thi s term versus the ratio aV l .6. V No te that for very sma ll s. o 6. Vo (Le. , a large degree of decoupling) this term is ve ry large. Sin ce thi s term is multiplied with t' in Eq. (7.45) , we find that th e price fo r excellent decouplin g is a very large capaci tance.

Joins are the most expensive operations in relational algebra. When joining R and S, every tuple in R needs to be compared with every tuple in S to see if the join condition across their attributes is satis ed. When the condition is met, the rows are concatenated and copied into the result relation. There are many approaches for performing a join. We will analyze the nested-loop approach (with and without indexes), the sort merge approach, and the hash-join approach.





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O Hara, Fundamentals of Criminal Investigation, 3rd ed (Springfield, IL: Charles C Thomas, 1973), 358 14 Title 15, United States Code, Section 1644 15 US Department of Commerce, Cost of Crimes Against Business 16 Chamber of Commerce of the United States, A Handbook on White Collar Crime: Everyone s Problem, Everyone s Loss, 1974, 34 17 National District Attorneys Association, Economic Crime Digest 2, no 3 (August October 1975), 168 18 US Department of Commerce, Cost of Crimes Against Business 19 National District Attorneys Association, Economic Crime Digest 4, no 3 (January February 1978), 6..

The Bridge utility, shown in Figure 6.1, is divided into four main areas: the main menu, toolbar, window panes, and content view controls. The following sections discuss each of these parts of the Bridge utility.

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Communication between a source and a destination happens by the sending of information from the former to the latter, through a medium called the communication channel. Communication channels are properly modelled by using the conditional probability matrix de ned between the input and the output, which allows us to determine the reliability of the information arriving at the receiver. The important result provided by the Shannon capacity theorem is that it is possible to have an error-free (reliable) transmission through a noisy (unreliable) channel, by means of the use of a rather sophisticated coding technique, as long as the transmission rate is kept to a value less than or equal to the channel capacity. The bound imposed by this theorem is over the transmission rate of the communication, but not over the reliability of the communication. In the following, transmission of sequences or blocks of n bits over a BSC is considered. In this case the input and the output are n-tuples or vectors de ned over the extensions X n and Y n respectively. The conditional probabilities will be used:

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