Most of the straight-forward learning approaches in cooperative robotics imply for each learning robot a state space growth exponential in the number of team members. To remedy the...
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
The verification of concurrent systems through an exhaustive traversal of the state space suffers from the infamous state-space-explosion problem, caused by the many interleavings ...
State spaces are commonly used representations of system behavior. A state space may be derived from a model of system behavior but can also be obtained through process mining. For...
H. M. W. (Eric) Verbeek, A. Johannes Pretorius, Wi...
ion for Asynchronous Design Verification Hao Zheng, Member, IEEE, Jared Ahrens, Tian Xia, Member, IEEE This paper presents a compositional method with preserving abstraction for sc...
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Reductions that aggregate fine-grained transitions into coarser transitions can significantly reduce the cost of automated verification, by reducing the size of the state space. W...
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
The well-known problem of state space explosion in model checking is even more critical when applying this technique to programming languages, mainly due to the presence of complex...