The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Multi-Attribute Tradespace Exploration (MATE) for Survivability is introduced as a general methodology for survivability analysis and demonstrated through an application to a satellite radar system. MATE for Survivability applies decision theory to the parametric modeling of th...

Classic decision-theory is based on the maximum expected utility (MEU) principle, but crucially ignores the resource costs incurred when determining optimal decisions. Here we propose an axiomatic framework for bounded decision-making that considers resource costs. Agents are formalized as probability measures over input-output streams. We postulate that any such probability measure can be assi...

We consider a stochastic multi-armed bandit setting and study the problem of constrained regret minimization over given time horizon. Each arm is associated with an unknown, possibly multi-dimensional distribution, merit determined by several, conflicting attributes. The aim to optimize ‘primary’ attribute subject user-provided constraints on other ‘secondary’ assume that attributes can be esti...

Current research proposes a natural environment for the space-time codes and in this context it is obtained a new design criterion for space-time codes in multi-antenna communication channels. The objective of this criterion is to minimize the pairwise error probability of the maximum likelihood decoder, endowed with the matrix spectrum norm. The random matrix theory is used and an approximatio...

Probabilistic planning models and, in particular, Markov Decision Processes (MDPs), Partially Observable Markov Decision Processes (POMDPs) and Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) have been extensively used by AI and Decision Theoretic communities for planning under uncertainty. Typically, the solvers for probabilistic planning models find policies that min...

Resource allocation techniques have recently appeared as a widely recognized feature in LTE networks. Most of existing approaches in resource allocation focus on maximizing network’s utility functions. The great potential of utility function in improving resource allocation and enhancing fairness and mean opinion score (MOS) indexes has attracted large efforts over the last few years. In this p...

applications such as video streaming grow in importance and popularity, addressing user utility function for these multi-layered multimedia applications in NUM formulation becomes vital. In this paper, we propose a new multi-layered user utility model that leverages on studies of human visual perception and quality of experience (QoE) from the fields of computer graphics and human computer inte...