Complex Systems and Cognitive Processes

Serra, Roberto; Zanarini, G.

doi:10.1007/978-3-642-46678-6

Cited by 87 publications

(50 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…BN models' dynamics can be studied by means of usual dynamical systems methods [4,25], hence the usage of concepts such as state (or phase) space, trajectories, attractors and basins of attraction. BNs can exhibit complex dynamics and some special ensembles have been deeply investigated, such as that of Random BNs.…”

Section: Boolean Networkmentioning

confidence: 99%

“…The dynamical systems metaphor has also been advocated as a powerful source of design principles for robotics [19]. The core idea supporting this viewpoint is that information processing can be seen as the evolution in time of a dynamical system [25]. In this paper, we propose the use of Boolean networks, a genetic regulatory network model, as robotic programs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the Design of Boolean Network Robots

Roli

Manfroni

Pinciroli

et al. 2011

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Dynamical systems theory and complexity science provide powerful tools for analysing artificial agents and robots. Furthermore, they have been recently proposed also as a source of design principles and guidelines. Boolean networks are a prominent example of complex dynamical systems and they have been shown to effectively capture important phenomena in gene regulation. From an engineering perspective, these models are very compelling, because they can exhibit rich and complex behaviours, in spite of the compactness of their description. In this paper, we propose the use of Boolean networks for controlling robots' behaviour. The network is designed by means of an automatic procedure based on stochastic local search techniques. We show that this approach makes it possible to design a network which enables the robot to accomplish a task that requires the capability of navigating the space using a light stimulus, as well as the formation and use of an internal memory.

show abstract

Section: Boolean Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the Design of Boolean Network Robots

Roli

Manfroni

Pinciroli

et al. 2011

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…Serra and Zanarini [25] describes the concept of self-organization generally as "highly organized behavior even in the absence of a pre-ordained design". They go on to further describe examples such as the resonance phenomenon in lasers, and in cellular automata where "unexpected and complex behaviours can be considered as self-organized."…”

Section: Self-organization Is a Set Of Dynamical Mechanisms Whereby Smentioning

confidence: 99%

Swarm Intelligence Algorithms in Bioinformatics

Das

Abraham

Konar

2008

Computational Intelligence in Bioinformatics

View full text Add to dashboard Cite

“…Indeed, it can be argued [1] that neural networks represent an attempt at shaping the emergent properties of a set of models in order to perform some required tasks. An intriguing aspect is the "sandwiched" nature of most emergent 4 M. Villani et al…”

Section: Introductionmentioning

confidence: 99%

“…The first term is the sum of the single-node entropies, the last one is computed using vectors of length k, so I measures the deviation from statistical independence of the k elements in S 1 . The mutual information of S to the rest of the world U-S is also defined by generalizing the usual notion of mutual information between nodes to k dimensional vectors…”

mentioning

confidence: 99%