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replaced by new frequencies, good frequencies remain unchanged in the hop sequence, and non-AFH slaves remain synchronized while other slaves in the piconet are using the adapted hopping sequence [16]. In order to keep all devices in the piconet updated with the new hopping pattern, advertisement of the new hopping sequence is typically done by using LMP messages exchanged between the master and slaves in the piconet. How often a new hopping pattern should be advertised could be dynamically adjusted so that it tracks changes in the channel. Performance evaluation results of AFH are provided in [15] for le transfer protocol (FTP) and voice applications. Maximizing the throughput is the goal for FTP application and minimizing the delay is the goal for voice application. AFH improves the throughput by 25% for FTP application. The improvement is more obvious than that for voice application. When Bluetooth and WLAN coexist, the PER for WLAN drops if AFH is adopted. AFH allows additional scheduling techniques to be used simultaneously if there is a need to control the transmission of packets on the medium. AFH has been demonstrated as effective in dealing with static interference that comes from WLAN, but it is not applicable for multiple colocated Bluetooth piconets because in Bluetooth frequency channels are constantly changing, the hop pattern of one piconet is not known to another one, and multiple piconets are not necessarily synchronized in a typical noncollaborative scenario. Besides, the performance of AFH is also dependent on the update rate of the frequency classi cation to track the channel dynamics [15]. 7.4.2 Bluetooth Interference-Aware Scheduling

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was to advance progressively on the dimension of simplecomplex with respect to behavior The low end of the dimension involved establishment of basic principles, already begun with the animal conditioning principles But those principles had to be veri ed with humans, rst with simple behaviors and laboratory control Then more and more complex behaviors had to be confronted, with the samples of behavior treated becoming more representative of life behaviors The beginning of this latter work showed convincingly the relevance of learning-behavior principles for understanding human behavior and progressively indicated that new human learning principles were needed to deal with complex human behavior Several areas of PB research are described here as historical background and, especially, to indicate how the theory of personality arose in an extended research-conceptual development.

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The single-point crossover operator that we have outlined here suffers from what is known as positional bias. That is, the performance of the genetic algorithm depends, in part, on the order in which the variables occur in the chromosome. So genes in loci 1 and 2 will often be crossed over together, simply because of their proximity to each other, whereas genes in loci 1 and 7 will rarely cross over together. Now, if this positioning re ects natural relationships within the data and among the variables, this is not such a concern, but such a priori knowledge is relatively rare. The solution is to perform multipoint crossover, as follows. First, randomly select a set of crossover points, and split the parent chromosomes at those points. Then, to form the children, recombine the segments by alternating between the parents, as illustrated in Figure 6.3.

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

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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