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Found 8 papers, 2 papers with code
Inferring probabilistic Boolean networks from steady-state gene data samples
Probabilistic Boolean Networks have been proposed for estimating the behaviour of dynamical systems as they combine rule-based modelling with uncertainty principles.
Deep Reinforcement Learning for Stabilization of Large-scale Probabilistic Boolean Networks
We focus on an integrative framework powered by a model-free deep RL method that can address different flavours of the control problem (e. g., with or without control inputs; attractor state or a subset of the state space as the target domain).
Spontaneous Emergence of Computation in Network Cascades
Neuronal network computation and computation by avalanche supporting networks are of interest to the fields of physics, computer science (computation theory as well as statistical or machine learning) and neuroscience.
HoneyCar: A Framework to Configure HoneypotVulnerabilities on the Internet of Vehicles
By taking a game-theoretic approach, we model the adversarial interaction as a repeated imperfect-information zero-sum game in which the IoV network administrator chooses a set of vulnerabilities to offer in a honeypot and a strategic attacker chooses a vulnerability of the IoV to exploit under uncertainty.
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks
We propose a novel strategic synthesis algorithm for feedforward networks that draws directly from the brain's behaviours when learning.
Deep Reinforcement Learning for Control of Probabilistic Boolean Networks
Probabilistic Boolean Networks (PBNs) were introduced as a computational model for the study of complex dynamical systems, such as Gene Regulatory Networks (GRNs).
A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems
We have implemented the combination of these techniques in an analytical tool that runs in the browser, and generates all minimal control configurations of a complex network.
Service Choreography, SBVR, and Time
We propose the use of structured natural language (English) in specifying service choreographies, focusing on the what rather than the how of the required coordination of participant services in realising a business application scenario.
