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		<title><![CDATA[ Intelligent Systems, IEEE - new TOC ]]></title>
		<link>http://ieeexplore.ieee.org</link>
		<description>TOC Alert for Publication# 9670 </description>
		<year>2012</year>
		<month>February </month>
		<day>10</day>
		<item>
			<title><![CDATA[Front Cover]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096568]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096568]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>c1</startPage>
			<endPage>c1</endPage>
			<fileSize>4676</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Front Cover]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096569]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096569]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>c2</startPage>
			<endPage>c2</endPage>
			<fileSize>246</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Contents]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096570]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096570]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>1</startPage>
			<endPage>1</endPage>
			<fileSize>259</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Intelligent Systems and Social Management]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096571]]></link>
			<description><![CDATA[EIC Fei-Yeu Wang introduces this special issue on social and economic computing and discusses the role of social computing and the Internet in society today.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096571]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>2</startPage>
			<endPage>3</endPage>
			<fileSize>1579</fileSize>
			<authors><![CDATA[Wang, Fei-Yue;]]></authors>
		</item>
		<item>
			<title><![CDATA[In The News]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096572]]></link>
			<description><![CDATA[This paper discusses artificial intelligence helps police serve and protect and researchers advance all by studying US football.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096572]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>4</startPage>
			<endPage>7</endPage>
			<fileSize>2615</fileSize>
			<authors><![CDATA[Lawton, G.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Toward Digital Asset Protection]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096573]]></link>
			<description><![CDATA[Man-at-the-end (MATE) attacks are an understudied branch of computer security. These attacks involve an adversary gaining an advantage by violating software or hardware under their control, directly or via a remote connection. On an individual scale, MATE attacks could violate the privacy and integrity of medical records and other sensitive personal data, and on a larger scale, they could cripple a national infrastructure (such as a power grid and the Internet itself). The goal of software protection (SP) research is to make software safe from such MATE attacks by preventing adversaries from tampering, reverse engineering, and illegally redistributing software. In July 2011, the Digital Asset Protection Association (DAPA) was launched to address the challenges specific to MATE attacks and SP research in general. As DAPA activities and efforts get underway, the ultimate goal is to establish standards and baseline definitions for SP research and to promote coordinated, open efforts among academia and industry.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096573]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>8</startPage>
			<endPage>13</endPage>
			<fileSize>1153</fileSize>
			<authors><![CDATA[Collberg, C.;Davidson, J.;Giacobazzi, R.;Yuan Xiang Gu;Herzberg, A.;Fei-Yue Wang;]]></authors>
		</item>
		<item>
			<title><![CDATA[Computing and AI for a Sustainable Future]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096574]]></link>
			<description><![CDATA[This inaugural article of the AI and Sustainability department sets the stage for articles in the area over the coming months and years. AI and sustainability is a nascent area, and elaborating it's brief history with pointers to recent and notable activities is this article's primary goal, as well as contextualizing AI and sustainability within the larger computing and sustainability movement.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096574]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>14</startPage>
			<endPage>18</endPage>
			<fileSize>687</fileSize>
			<authors><![CDATA[Fisher, D.H.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Social and Economic Computing]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096575]]></link>
			<description><![CDATA[Social and economic computing is a cross-disciplinary field focusing on the development of computing technologies that consider social and economic contexts. Social computing and economic computing not only share a number of computing technologies, they also benefit and fertilize each other in computational theories, models, and design. This special issue presents some representative research in social and economic computing from several perspectives.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096575]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>19</startPage>
			<endPage>21</endPage>
			<fileSize>3904</fileSize>
			<authors><![CDATA[Mao, Wenji;Tuzhilin, Alexander;Gratch, Jonathan;]]></authors>
		</item>
		<item>
			<title><![CDATA[Stealing Reality: When Criminals Become Data Scientists (or Vice Versa)]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6030866]]></link>
			<description><![CDATA[Stealing-reality attacks attempt to steal social network and behavioral information through data collection and inference techniques, making them more dangerous than other types of identity theft.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6030866]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>22</startPage>
			<endPage>30</endPage>
			<fileSize>3103</fileSize>
			<authors><![CDATA[Altshuler, Y.;Aharony, N.;Pentland, A.;Elovici, Y.;Cebrian, M.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Click Fraud and the Adverse Effects of Competition]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=5999636]]></link>
			<description><![CDATA[Modeling click fraud as a competitive strategy illustrates the motivations behind publisher behaviors and shows how it evolves and harms market efficiency.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=5999636]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>31</startPage>
			<endPage>39</endPage>
			<fileSize>3967</fileSize>
			<authors><![CDATA[Xiarong Li;Zeng, D.D.;Yong Liu;Yanwu Yang;]]></authors>
		</item>
		<item>
			<title><![CDATA[Bridging the Gap: Face-to-Face Negotiations with an Automated Mediator]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=5999635]]></link>
			<description><![CDATA[The automated, animated mediator AniMed* aims to increase the social welfare of people in bilateral negotiations, utilizing a generic strategy mechanism and the ability to propose partial solutions.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=5999635]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>40</startPage>
			<endPage>47</endPage>
			<fileSize>3642</fileSize>
			<authors><![CDATA[Raz Lin;Gev, Y.;Kraus, S.;]]></authors>
		</item>
		<item>
			<title><![CDATA[From Causal Scenarios to Social Causality: An Attributional Approach]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6035653]]></link>
			<description><![CDATA[Inspired by the psychological attribution theory, this article presents a computational approach to construct causal scenarios and facilitate social causality studies based on online textual data.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6035653]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>48</startPage>
			<endPage>57</endPage>
			<fileSize>3268</fileSize>
			<authors><![CDATA[Wenji Mao;Ansheng Ge;Xiaochen Li;]]></authors>
		</item>
		<item>
			<title><![CDATA[Personality, Emotion, and Mood in Agent-Based Group Decision Making]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6042847]]></link>
			<description><![CDATA[Incorporating affective characteristics (such as personality, emotion, and mood) in an agent-based group decision-support system can help improve the negotiation process.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6042847]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>58</startPage>
			<endPage>66</endPage>
			<fileSize>3424</fileSize>
			<authors><![CDATA[Santos, R.;Marreiros, G.;Ramos, C.;Neves, J.;Bulas-Cruz, J.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Beyond Simon's Slice: Five Fundamental Trade-Offs that Bound the Performance of Macrocognitive Work Systems]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096576]]></link>
			<description><![CDATA[Articulating the laws of cognitive work has been a continuing theme in this department. A number of the articles represent an effort to move toward a unified theory of "macrocognitive work systems." These are complex adaptive systems designed to support near-continuous interdependencies among humans and intelligent machines to carry out functions such as sensemaking, replanning, mental projection to the future, and coordination. The effort to identify empirical generalizations and use them to construct a formal theory has led us to the identification of a number of fundamental trade-offs that place boundary conditions on all macrocognitive work systems. This article presents five trade-offs identified to date that define these boundary conditions. It also illustrates how the known empirical generalizations about the performance of human work systems can be systematically organized by the trade-offs.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096576]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>67</startPage>
			<endPage>71</endPage>
			<fileSize>532</fileSize>
			<authors><![CDATA[Hoffman, R.R.;Woods, D.D.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Next-Generation Team-Science Platform for Scientific Collaboration]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096577]]></link>
			<description><![CDATA[In the past two decades, many branches of science have shifted from individually oriented research toward team-based scientific collaboration. 1-3 Teams of researchers representing different disciplines are often brought together to better solve large-scale and often urgent problems of scientific, societal, and environmental relevance. In addition to combined subject matter expertise and the team's disciplinary composition, many contex- tual factors such as antecedent conditions, collaborative processes, and support technologies as well as a host of social factors such as team size and organizational complexity can directly influence outcomes in team-based research. From this perspective, emerging research on team science aims at better understanding the key contextual factors related to transdisciplinary scientific collaboration processes and enhancing the outcomes of large-scale collaborative research programs. More specifically, team-science research combines problem-solving frameworks, specialized expertise, and research methods across disciplinary boundaries to help produce high-impact science.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096577]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>72</startPage>
			<endPage>76</endPage>
			<fileSize>1754</fileSize>
			<authors><![CDATA[Xiaolong Zheng;Guanyan Ke;Zeng, D.D.;Ram, S.;Hao Lu;]]></authors>
		</item>
		<item>
			<title><![CDATA[Agent Recommendation for Agent-Based Urban-Transportation Systems]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096578]]></link>
			<description><![CDATA[Mobile-agent technology has been adopted in many transportation fields to take advantages of different agents to deal with dynamic changes and uncertainty in traffic environments. However, few research studies have been conducted in urban-transportation systems on decision making about what kind of agents to be used in coping with a specific traffic states. With the increasing availability of control and service agents for agent-based urban-transportation systems, an agent recommendation system is necessary to manage and select those agents so original objectives can be fulfilled. In this article, the authors address issues related to the creation of such a platform.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096578]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>77</startPage>
			<endPage>81</endPage>
			<fileSize>1966</fileSize>
			<authors><![CDATA[Cheng Chen;Shuang Shuang Li;Bo Chen;Ding Wen;]]></authors>
		</item>
		<item>
			<title><![CDATA[Trends &amp;#x0026; Controversies]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096579]]></link>
			<description><![CDATA[Market, a term frequently used in mass media and academic publications, is an elusive concept. In marketing, researchers and practitioners describe market as a place to exchange products and services (such as a retail market or real estate market). In economics and finance, financial and monetary concepts such as emerging markets, commodity markets, and the stock market are often mentioned. In all these areas, one of the most challenging research directions is modeling and predicting market movements. In recent years, the availability of diverse and voluminous market-related mass media and social media content (or Business Big Data) and the emergence of sophisticated, scalable text and social mining techniques present a unique opportunity for advancing research relating to smart market and money. This research area, at the intersec tion of computational and finance research, aims at developing intelligent (smart) mechanisms and algorithms for predicting market and stock performances.]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096579]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>82</startPage>
			<endPage>96</endPage>
			<fileSize>2280</fileSize>
			<authors><![CDATA[Hsinchun Chen;]]></authors>
		</item>
		<item>
			<title><![CDATA[Back Cover]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096580]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096580]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>c3</startPage>
			<endPage>c3</endPage>
			<fileSize>5097</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Back Cover]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096581]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[Nov.-Dec.  2011]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6096567&arnumber=6096581]]></guid>
			<volume>26</volume>
			<issue>6</issue>
			<startPage>c4</startPage>
			<endPage>c4</endPage>
			<fileSize>966</fileSize>
			<authors><![CDATA[]]></authors>
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