In this paper the issue of energy efficiency in CDMA wireless data networks is addressed through a game theoretic approach. Building on a recent paper by the first two authors, wherein a non-cooperative game for spreading-code optimization, power control, and receiver design has been proposed to maximize the ratio of data throughput to transmit power for each active user, a stochastic algorithm...

Adaptive streaming, such as Dynamic Adaptive Streaming over HTTP (DASH), has been widely deployed to provide uninterrupted video streaming service to users with dynamic network conditions. In this report, we analytically study the potential of using P2P in conjunction with adaptive streaming. Our focus is on how to provide incentives in P2P adaptive streaming. We first study P2P adaptive stream...

Adaptive Game-Based Training (AGBT) systems plan the content and ordering of learning opportunities to customize game-play, thereby addressing individual players’ learning needs. Determining the best combination of settings, rules, and algorithms to perform this intelligent tutoring is both complex and expensive, as it requires iteration over multiple experimental cycles so as to measure learni...

Passive brain-computer interfaces are designed to use brain activity as an additional input, allowing the adaptation of the interface in real time according to the user’s mental state. The goal of the present study is to distinguish between different levels of game difficulty using real-time, non-invasive brain activity measurement with functional near-infrared spectroscopy (fNIRS). The study i...

This study investigates how students’ prior expectations of technology affect overall learning outcomes across two adaptive systems, one gamebased (iSTART-ME) and one non-game based (iSTART-Regular). The current study (n=83) is part of a larger study (n=124) intended to teach reading comprehension strategies to high school students. Results revealed that students’ prior expectations impacted le...

We use ideas from distributed computing to study dynamic environments in which computational nodes, or decision makers, follow adaptive heuristics [16], i.e., simple and unsophisticated rules of behavior, e.g., repeatedly “best replying” to others’ actions, and minimizing “regret”, that have been extensively studied in game theory and economics. We explore when convergence of such simple dynami...