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, Winkler, RH, Baumgardner, DG, Gandrud, B, Wennberg, PO, Dhaniyala, S, McKinney, K, Peter, Th, Salawitch, RJ, Bui, TP, Elkins, JW, Webster, CR, Atlas, EL, Jost, H, Wilson, JC, Herman, RL, Kleinb hl, A and von K nig, M The detection o o of large HNO3 -containing particles in the winter Arctic stratosphere Science 2001; 291(5506): 1026 1031 85 Hester, RE and Harrison, RM Causes and Environmental Implications of Increased UV-B Radiation Royal Society of Chemistry, Cambridge, UK: 2000 86 IPCC Summary for policymakers In: S Solomon, D Qin, M Manning, Z Chen, M Marquis, KB Averyt, M Tignor and HL Miller eds Climate Change 2007: The Physical Science Basis.

The proliferation of wireless local area network (WLAN) deployments in enterprises, public areas, and homes will cause frequent geographical coverage overlap among multiple networks. A recent growing interest is the coordination among WLAN providers for ef cient resource management over a large coverage area. While radio resource management for a single WLAN has been studied extensively, little research work addresses cooperative resource management over multiple WLANs. The lack of cooperative resource management can cause signi cant performance degradation due to inter-WLAN interference. Moreover, unbalanced loads among multiple networks can incur congestion in a few WLANs while foregoing unused excess resources in others. Hence, resource management among multiple WLANs can make the best use of available radio resources and accommodate more users systemwide. In this chapter, a fully decentralized cooperative resource management framework using multiagent systems for multiple WLANs in interference environments is explained that incorporates the predictability of network states and decentralized control through multiagent systems. The proposed framework emphasizes the underlying predictability of network conditions and promotes management solutions tailored to different interference environments. The impacts of both inter-WLAN cochannel interference and colocated interference sources from wireless personal area networks (WPANs) are considered. 2.1 INTRODUCTION

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homosexual persons, persons with HIV, African Americans; Herek, 2000; Reeder & Pryor, 2000; Sears, 1988), consumer objects (Ennis & Zanna, 2000; Prentice, 1987; Shavitt, 1990), altruistic behaviors (Maio & Olson, 1995; Snyder, Clary, & Stukas, 2000), and political issues (Kinder & Sears, 1985; Lavine & Snyder, 2000) At least three lines of research support this distinction First, some attitude objects elicit attitudes that are associated primarily with one or the other of these functions For example, Shavitt (1990) found that people s thoughts about air conditioners and coffee focus on the utility of the objects, whereas thoughts about greeting cards and ags tend to focus on the objects capacity to symbolize the self and social values.

Second, evidence indicates that people are more persuaded by messages containing arguments that match the instrumental or symbolic functions of their attitudes than by messages containing arguments that do not match the functions of their attitudes For example, Shavitt (1990) found that instrumental ads for instrumental products (eg, an air conditioner) were more persuasive than were symbolic ads for instrumental products Similarly, Snyder and DeBono (1985) found that low selfmonitors (who typically possess instrumental attitudes) were more persuaded by instrumental ads for various products (eg, whiskey, cigarettes) than were high self-monitors (whose attitudes typically ful ll social-adjustive functions) Also, Prentice (1987) found that participants who attached high importance to symbolic values (eg, mature love, self-respect) and symbolic possessions (eg, family heirlooms) were less persuaded by messages that contained instrumental arguments than by messages that contained symbolic arguments.

Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press, Cambridge, UK and New York, NY, USA: 2007 87 Pyle, JA, Shepherd, TE, Bodeker, G, Canziani, P, Dameris, M, Forster, P, Gruzelev, A, M ller, R, u Muthama, NJ, Pitari, G and Randel, W IPCC/TEAP Special Report: Safeguarding the Ozone Layer and the Global Climate System, 2005 Available from: http://archrivmnl/env/int/ipcc/pages media/SROC nal/SpecialReportSROChtml, cited 2006 88 Eyring, V, Harris, NRP, Rex, M, Shepherd, TG, Fahey, DW, Amanatidis, GT, Austin, J, Chipper eld, MP, Dameris, M, De F Forster, PM, Gettelman, A, Graf, HF, Nagashima, T, Newman, PA, Pawson, S, Prather, MJ.

Presumably, these match effects occurred because people scrutinize arguments that match the function of their attitude more carefully than they scrutinize arguments that do not match the function of their attitude (Petty & Wegener, 1998) As a result, match effects occur only when the persuasive arguments are strong, but not when the persuasive arguments are weak (Petty & Wegener, 1998) Finally, the distinction between instrumental and symbolic attitudes improves the measurement of attitudes and the prediction of behavior Regarding attitude measurement, many studies have shown that attitudes toward ethnic groups are related to beliefs about the group members values, over and above beliefs about the group members implications for personal well-being (eg, Esses et al, 1993; I Katz & Hass, 1988; see also Schwartz & Struch, 1989).

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