In this dissertation I examine the conceptions of opinion (<italic>doxa</italic>}), knowledge (<italic>gnosis</italic>), and understanding (<italic>episteme</italic>) that are presented by the character Socrates in Plato's <italic>Meno</italic> and <italic>Republic</italic>. A central claim I make, and one that sets my interpretation apart from…

Current theories of physics cognition require specification of complex mechanisms for explaining knowledge acquisition. I demonstrate that a quantitative model of physics perception can be constructed by assuming that physics problem perception provides an optimal summary of a set of…

In polyandrous species, sexual selection acts both before (precopulatory) and after
(postcopulatory) mating on traits that are important for reproductive success. Precopulatory traits
are important for mate acquisition and include weapons and ornaments. Postcopulatory traits
include components of sperm quantity…

This dissertation focuses on the specific strategies by which authors of the travel writing genre seize narrative agency. Throughout its centuries-long history, the genre of travel writing has offered multiple generations of authors a means by which to convey observations…

Malaria is the most important parasite species of humans, affecting more than 2.2 billion people, and causing hundreds of millions of clinical cases and around one million deaths every year. Since the 1940s, mass-produced, inexpensive drugs have been available that…

This dissertation studies nonlinear panel data models with multiple fixed effects. The first two chapters consider the adaptability of estimation methods for nonlinear panel data models to multiple fixed effects. The first chapter investigates whether existing methods can be modified…

Howler monkeys (Alouatta sp.) use loud call vocalizations for both intra-group
and intergroup communication (Oliveira & Ades, 2004; Whitehead, 1989; da Cunha
& Byrne, 2006; Holzmann, 2012). While much of the literature focuses on the effect
of loud call vocalizations…

Network-based modeling of complex systems with emergent behavior is increasingly being employed across different disciplines. Much of the focus in such efforts has been on detailed, "microscopic" modeling, in which the dynamics is described in terms of the individual nodes…

Although we represent other people in terms of both what they look like and how they behave, these two aspects of person knowledge have rarely been studied together. While vision scientists have focused on the processing of faces and bodies,…

With the advancement of technology, we are able to collect, store, and transmit an ever-increasing volume of data. However, our ability to extract useful patterns from this massive amount of data is still lagging behind. Machine learning and signal processing…