Toward a Lockean Unification of Formal and Traditional Epistemology

Can there be knowledge and rational belief in the absence of a rational degree of confidence? Yes, and cases of "mistuned knowledge" demonstrate this. In this paper we leverage this normative possibility in support of advancing our understanding of the metaphysical relation between belief and credence. It is generally assumed that a Lockean metaphysics of belief that reduces outright belief to degrees of confidence would immediately effect a unification of coarse-grained epistemology of belief with fine-grained epistemology of confidence. Scott Sturgeon has suggested that the unification is effected by understanding the relation between outright belief and confidence as an instance of the determinable-determinate relation. But determination of belief by confidence would not by itself yield the result that norms for confidence carry over to norms for outright belief unless belief and high confidence are token identical. We argue that this token-identity thesis is incompatible with the neglected phenomenon of “mistuned knowledge”—knowledge and rational belief in the absence of rational confidence. We contend that there are genuine cases of mistuned knowledge and that, therefore, epistemological unification must forego token identity of belief and high confidence. We show how partial epistemological unification can be secured given determination of outright belief by degrees of confidence even without token-identity. Finally, we suggest a direction for the pursuit of thoroughgoing epistemological unification

DEMAND SYSTEM ANALYSIS WITH EMPHASIS ON CONTAINER SIZES OF NON-ALCOHOLIC BEVERAGES.

A demand system that includes five different beverages of various container sizes was estimated using a Censor Corrected Almost Ideal Demand System (CAIDS). Resulting elasticities provide information about intra-product relationships (same product but different sizes), intra-size relationships (different products same container size), and inter-product relationships (different products and different sizes).Demand and Price Analysis,

A Moral Debate at the Invisible Rainbow: Thoughts about Best Practices in Servicing LGBTQ Students in Special Education

Instead of occupying a marginal space within teacher preparation programs, special education courses and training should promote diversity in servicing marginalized groups such as lesbian, gay, bisexual, transgender, and questioning (LGBTQ) students. Within these programs, issues related to LGBTQ students should occupy a meaningful and formative space in the training of future teachers in special education. Often, special education teachers are at a loss about how to educate LGBTQ students with disabilities. Rethinking the role of special education and LGBTQ students with special needs within teacher education programs enables pre-service teachers to cultivate new values and attitudes that can enrich the student/teacher relationship within public schools. As such, this article proposes to explore best practices for servicing LGTBQ students in special education by promoting better ways to train future teachers

Categorical Cognition: A Psychological Model of Categories and Identification in Decision Making

There is a wealth of research in psychology demonstrating that agents process information with the aid of categories. In this paper we study this phenomenon in two parts. First, we build a model of how experiences are sorted into categories and how categorization affects decision making. Second, we analyze the personal biases that result from categorization, in economic contexts. We show that discrimination can result from such cognitive processes even when there is no malevolent taste to do so and workers' qualifications are fully observable. The model also provides a framework that is equipped to investigate the social psychological concept of identity, where identity is viewed as self-categorization.

Artificial-Noise-Aided Secure Multi-Antenna Transmission with Limited Feedback

We present an optimized secure multi-antenna transmission approach based on artificial-noise-aided beamforming, with limited feedback from a desired single-antenna receiver. To deal with beamformer quantization errors as well as unknown eavesdropper channel characteristics, our approach is aimed at maximizing throughput under dual performance constraints - a connection outage constraint on the desired communication channel and a secrecy outage constraint to guard against eavesdropping. We propose an adaptive transmission strategy that judiciously selects the wiretap coding parameters, as well as the power allocation between the artificial noise and the information signal. This optimized solution reveals several important differences with respect to solutions designed previously under the assumption of perfect feedback. We also investigate the problem of how to most efficiently utilize the feedback bits. The simulation results indicate that a good design strategy is to use approximately 20% of these bits to quantize the channel gain information, with the remainder to quantize the channel direction, and this allocation is largely insensitive to the secrecy outage constraint imposed. In addition, we find that 8 feedback bits per transmit antenna is sufficient to achieve approximately 90% of the throughput attainable with perfect feedback.Comment: to appear in IEEE Transactions on Wireless Communication