Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
System-level design presents special simulation modeling challenges. System-level models address the architectural and functional performance of complex systems. Systems are decom...
Gunar Schorcht, Ian A. Troxel, Keyvan Farhangian, ...
To characterize the behavior of a mobile ad-hoc network (MANET), the Brownian mobility model is studied, where the random coordinators of mobile nodes are modeled by the Brownian ...
Analogy-based hypothesis generation is a promising technique for knowledge discovery. However, some hypotheses generated are nonsensical. This paper describes a two-phased method ...
String transformation systems have been introduced in (Brill, 1995) and have several applications in natural language processing. In this work we consider the computational proble...