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The steeper the slope of the wall (B-2), the more sudden is the entry of a system that encounters that basin The depth of the valley indicates how rmly entrenched the system is, once drawn into the attractor Figure 88, panel C, represents a system of attractors with fairly low stability (the valleys are shallow) One attractor represents a stable situation (valley 1), whereas the others are less so It will take a lot more energy to free the ball from valley 1 than from the others There is a sense in which both breadth and depth suggest that a goal is important Breadth does so because the system is drawn to the attractor from widely divergent trajectories Depth does so because the system that has been drawn into the basin tends to stay there.

A weakness of this picture, compared to a phase-space portrait, is that it is not as good at giving a sense of the erratic motion from one attractor to another in a multiple-attractor system You can regain some of that sense of erratic shifting, however, if you think of the surface in Figure 88 as a tambourine being continuously shaken (Figure 88, panel D) Even a little shaking causes the ball to bounce around in its well and may jostle it from one well to another, particularly if the attractors are not highly stable An alternative would be to think of the ball as a jumping bean These two characterizations would be analogous to jostling from situational in uences and jostling from internal dynamics, respectively.

Goals as Attractors The themes of dynamic systems thinking outlined here have had several applications in personality social and even clinical psychology (Hayes & Strauss, 1998; Mahoney, 1991; Nowak & Vallacher, 1998; Vallacher & Nowak, 1997) Perhaps the easiest application of the attractor concept to self-regulatory models is to link it with the goal concept Indeed, alert readers will have noticed that we used the same metaphor gravity and antigravity in describing both the.

Fig. 4.11 Changes in the behavior of wallabies after training involving a model fox and a person with a net. Black circles are data collected when the two stimuli were paired and white circles are data when they were not paired. (a) Shows that animals from the paired stimulus group were more vigilant than those in the unpaired group after training. (b) Shows that the paired stimulus group were the least relaxed. In both cases values higher than 0 equate to an increase in the level of vigilance/relaxedness when pre- and post-training values are considered and values lower than 0 indicate a decrease. (From Grif n, A.S. et al. (2001) Learning specificity in aquired predator recognition. Animal Behaviour, 62, 577 89. Reproduced with permission of Elsevier.)

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Collaborative site-creation tools Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No Yes No No No No Yes No Yes Yes Yes No Yes Yes Yes Yes No No Yes Yes Yes Yes Yes Yes No Yes Yes Yes Yes

Discuss the most popular technology-based tools in the marketplace. Describe the difference between geolocation and geolocating.

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Figure 7.18 Higher response rates are associated with web buyers, credit card holders, customers who made a purchase within the past month (lower left), and customers who made a purchase in the same period last year (lower right).

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The secret to using VBA with other applications lies in understanding the object model for each application. VBA, after all, simply manipulates objects, and each product (Excel, Word, Access, PowerPoint, and so forth) has its own unique object model. You can program an application using the objects that the application exposes. Excel s object model, for example, exposes several very powerful data analysis objects, such as worksheets, charts, pivot tables, scenarios, and numerous mathematical, financial, engineering, and general business functions. With VBA, you can work with these objects and develop automated procedures. As you work with VBA in Excel, you ll gradually build an understanding of the object model. Warning: It will be very confusing at first. Eventually, however, the pieces will come together and all of a sudden you ll realize that you ve mastered it!

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