Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
Dynamical systems theory is used here as a theoretical language and tool to design a distributed control archictecture that generates navigation in formation, integrated with obst...
Abstract. We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [1] as models of contextual deterministic discrete dynamical systems. We show that ch...
This paper presents results of measuring evolution in a simple ALife system. Interpretation of these results is based on the notion of dynamical systems. This approach enables the ...
The ideas proposed in this work are aimed to describe a novel approach based on artificial life (alife) environments for on-line adaptive optimisation of dynamical systems. The bas...
Mauro Annunziato, Ilaria Bertini, M. Lucchetti, Al...
A general notion of bisimulation is studied for dynamical systems. An algebraic characterization of bisimulation together with an algorithm for computing the maximal bisimulation r...
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
Leonid Taycher, John W. Fisher III, Trevor Darrell
Abstract. We study computational complexity of counting the fixed point configurations (FPs) in certain classes of graph automata viewed as discrete dynamical systems. We prove t...
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
— In this paper we address the problem of generating input plans to steer complex dynamical systems in an obstaclefree environment. Plans considered admit a finite description l...
Adriano Fagiolini, Luca Greco, Antonio Bicchi, Ben...