RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background...
Abstract. We present a formal verification methodology for datapathdominated hardware. This provides a systematic but flexible framework within which to organize the activities und...
Mark Aagaard, Robert B. Jones, Thomas F. Melham, J...
In this paper we propose to extend the current capabilities of automated reasoning systems by making use of techniques from integer programming. We describe the architecture of an ...
This paper describes a method to optimize the performance of data paths. It is based on bit-level arithmetic transformations, and is especially suited to optimize large adder stru...
Luc Rijnders, Zohair Sahraoui, Paul Six, Hugo De M...