Project Lead Spring 2011 – Present Agent Development and Prototyping Testbed (ADAPT) A Unity3D-based platform designed for rapid development of fully-realized virtual worlds containing crowds of 3D actors. Provides a modular framework for capabilities including locomotion, steering, sitting, reaching, and gestural animation. Integrates multiple graphics libraries including Recast navigation and...

The properties of nonlinear PDEs that generate filtered solutions are explored with particular attention given to the constraints on the residual term. The analysis is carried out for nonlinear PDEs with an emphasis on evolution problems recast on space-time-scale. We examine the role of approximation that allow for the generation of solutions on isolated scale slices.

A discrete-time control problem of a finite-state hidden Markov chain partially observed in a fractional Gaussian process is discussed using filtering. The control problem is then recast as a separated problem with information variables given by the unnormalized conditional probabilities of the whole path of the hidden Markov chain. A dynamic programming result and a minimum principle are obtai...

therefore the damping layer has to be large enough to prevent reentrant waves at the physical boundary. Hence In this paper we develop a method for the simulation of wave propagation on artificially bounded domains. The acoustic wave the approach is not only costly in terms of memory requireequation is solved at all points away from the boundaries by a ments but also it is not very flexible. In...

This article offers a critique of the teleological interpretation provision Art. 7(1)(b) Brussels I Regulation Recast, adopted by Court Justice European Union, in relation to cases where there are several places performance. First, nature jurisdiction rules civil law is discussed and main purpose special identified. In this context, it emphasized that legal certainty predictability objectives r...

Privacy has traditionally been a major motivation for distributed problem solving. Distributed Constraint Satisfaction Problem (DisCSP) as well as Distributed Constraint Optimization Problem (DCOP) are fundamental models used to solve various families of distributed problems. Even though several approaches have been proposed to quantify and preserve privacy in such problems, none of them is exe...

We explore the evolution of reliance on social and asocial learning using a spatially explicit stochastic model. Our analysis considers the relative merits of four evolved strategies, two pure strategies (asocial and social learning) and two conditional strategies (the "critical social learner," which learns asocially only when copying fails, and the "conditional social learner," which copies o...

Kirchhoff inversion theory tells us that reflection data provides information about the Fourier transform of the reflectivity function at each point in the illuminated subsurface. Thus, inversion formulas expressed as integrals in image point coordinates that closely characterize that Fourier domain are attractive for their relative simplicity. On the other hand, integrals over source/receiver ...

The goal of few-shot learning is to learn a classifier that can recognize unseen classes from limited support data with labels. A common practice for this task train model on the base set first and then transfer novel through fine-tuning or meta-learning. However, as have no overlap set, simply transferring whole knowledge not an optimal solution since some in may be biased even harmful class. ...