In this paper, we explore a parallelization of BMC based on state space partitioning. The parallelization is accomplished by executing multiple instances of BMC independently from ...
Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad...
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
During activated states in vivo, neocortical neurons are subject to intense synaptic activity and high-amplitude membrane potential ðVmÞ fluctuations. These ‘‘high-conducta...
Martin Pospischil, Zuzanna Piwkowska, Michelle Rud...
Abstract. In many biological examples of biased random walks, movement statistics are determined by state dynamics that are internal to the organism or cell and that mediate respon...
There has been much interest in testing from finite state machines (FSMs) as a result of their suitability for modelling or specifying state-based systems. Where there are multip...