Evolution of the Racial Identity of Children of Loving: Has Our Thinking About Race and Racial Issues Become Obsolete?

I served on the panel entitled “The Children of Loving,” which for me has two connotations. First, as an African American who married a white woman twenty years after the decision, I am a child of Loving in the sense that I was in an interracial marriage. But as a father of two black-white biracial children, I am also a father of two Lovingchildren. In this Article, I focus on the latter connotation of the “Children of Loving.” In particular, I discuss the evolution of my children’s racial identities. Due to my personal connections, I can share both an academic and personal narrative about this evolution

Polynomial-time Computation of Exact Correlated Equilibrium in Compact Games

In a landmark paper, Papadimitriou and Roughgarden described a polynomial-time algorithm ("Ellipsoid Against Hope") for computing sample correlated equilibria of concisely-represented games. Recently, Stein, Parrilo and Ozdaglar showed that this algorithm can fail to find an exact correlated equilibrium, but can be easily modified to efficiently compute approximate correlated equilibria. Currently, it remains unresolved whether the algorithm can be modified to compute an exact correlated equilibrium. We show that it can, presenting a variant of the Ellipsoid Against Hope algorithm that guarantees the polynomial-time identification of exact correlated equilibrium. Our new algorithm differs from the original primarily in its use of a separation oracle that produces cuts corresponding to pure-strategy profiles. As a result, we no longer face the numerical precision issues encountered by the original approach, and both the resulting algorithm and its analysis are considerably simplified. Our new separation oracle can be understood as a derandomization of Papadimitriou and Roughgarden's original separation oracle via the method of conditional probabilities. Also, the equilibria returned by our algorithm are distributions with polynomial-sized supports, which are simpler (in the sense of being representable in fewer bits) than the mixtures of product distributions produced previously; no tractable algorithm has previously been proposed for identifying such equilibria.Comment: 15 page

Students make a plan: understanding student agency in constraining conditions

Drawing on Archer’s perspectives on the agency / structure relationship, this paper explains situations where students in varied, challenging circumstances find ways to negotiate difficult conditions. The paper firstly reports specific findings of a study on student access and use of technology in three universities in South Africa; and then uses Archer’s concept of agency to explain the findings. The context of the study is a South African higher education system clearly committed to preparing university students for participation in the knowledge society as is evident in numerous policy documents. However, the response to this rapid worldwide social and economic transformation has occurred simultaneously with the substantial restructuring of a fragmented, divided and unequal sector, the legacy of racially demarcated and differentially resourced apartheid institutions (Department of Education, 2001, Gillard, 2004). Additionally, social demands on South African higher education institutions have intensified in recent years. Increased participation by a diverse range of students has resulted in massification of the sector within a context of limited or even reduced funding (Maasen and Cloete, 2002). As is the case internationally, there are both more and different students entering the sector

A Formal Separation Between Strategic and Nonstrategic Behavior

It is common in multiagent systems to make a distinction between "strategic" behavior and other forms of intentional but "nonstrategic" behavior: typically, that strategic agents model other agents while nonstrategic agents do not. However, a crisp boundary between these concepts has proven elusive. This problem is pervasive throughout the game theoretic literature on bounded rationality and particularly critical in parts of the behavioral game theory literature that make an explicit distinction between the behavior of "nonstrategic" level-0 agents and "strategic" higher-level agents (e.g., the level-k and cognitive hierarchy models). Overall, work discussing bounded rationality rarely gives clear guidance on how the rationality of nonstrategic agents must be bounded, instead typically just singling out specific decision rules and informally asserting them to be nonstrategic (e.g., truthfully revealing private information; randomizing uniformly). In this work, we propose a new, formal characterization of nonstrategic behavior. Our main contribution is to show that it satisfies two properties: (1) it is general enough to capture all purportedly "nonstrategic" decision rules of which we are aware in the behavioral game theory literature; (2) behavior that obeys our characterization is distinct from strategic behavior in a precise sense

Reaching Out to Tribal Communities: Lessons Learned and Approaches to Consider

When transportation safety decision-making is desired, the involvement and engagement with a community is essential. A streamlined delivery of a project or program is more likely to occur when active dialogue and an exchange of ideas occurs in advance and occurs frequently. This is particularly important in tribal communities, who value sustained relationships and represent the focus population of this study. The research team, on six separate occasions, met with local and regional tribal leaders to explore and discuss transportation safety needs within and outside tribal communities, as well as discern the recommended approaches to foster ongoing dialogue about these needs. In all cases these discussions closely correlated with existing research studies or activities; transportation safety and equity is not seen as separate from other tribal foci and community needs. Specific recommendations to consider, in no particular order, included the following: invest respectfully enough time for people to talk; tribes think long-term and consider the impact of any decision from a long-term viewpoint so an iterative process and re-sharing of ideas is critical; the power of decision is in the hands of the tribe and its members; do not lump tribes together as each tribe is sovereign and unique and every community should be expected to think differently; all tribes are unique as is the environmental and social context; to disseminate information widely and iteratively, do so when there is a large group or event; be sure to understand the Tribal governance, decision making, and organizational structure; know who is the tribal Chairman or Chairwoman; and develop an emic and etic understanding of the community