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Artificial Intelligence and the Common Sense of Animals
The problem of common sense remains a major obstacle to progress in artificial intelligence. Here, we argue that common sense in humans is founded on a set
of basic capacities that are possessed by many other animals, capacities...
A new assay for rhamnolipid detection-important virulence factors of <em>Pseudomonas aeruginosa</em>
Maisem Laabei, William D. Jamieson, Simon E. Lewis, Stephen P. Diggle, A. Tobias A. Jenkins
Aug 01, 2014
Rhamnolipids (RLs) are heterogeneous glycolipid molecules that are composed of one or two l-rhamnose sugars and one or two β-hydroxy fatty acids, which can vary in their length and branch size. They are biosurfactants...
Impaired Punishment Learning in Conduct Disorder
Erik M. Elster, Ruth Pauli, Sarah Baumann, Stephane A. De Brito, Graeme Fairchild, Christine M. Freitag, Kerstin Konrad, Veit Roessner, Inti A. Brazil, Patricia L. Lockwood, Gregor Kohls
Apr 30, 2024
Objective: Conduct disorder (CD) has been associated with deficits in the use of punishment to guide reinforcement learning (RL) and decision making. This may explain the poorly planned and often impulsive antisocial and...
Autonomous Control of Simulated Fixed Wing Aircraft using Deep Reinforcement Learning
Gordon Rennie
Sep 01, 2018
Autonomous control of aircraft is a challenging high-dimensional continuous control problem with applications in Unmanned Aerial Vehicles, autopilot systems and flight simulators. The problem domain appears well-suited to...
Norm Augmented Reinforcement Learning Agents With Synthesized Normative Rules
The dynamic deontic (DD) is a norm synthesis framework that extracts normative rules from reinforcement learning (RL), however it was not designed to be applied in agent coordination. This study proposes a norm augmented...
Published by: IGI Global Scientific Publishing
High-Definition Garden Plant Images Threshold Segmentation Mechanism Based on PSO and DRL
The accuracy of the threshold determines the quality of high-definition garden plant image segmentation. How to accurately and quickly search for the best combination of multiple thresholds is currently a research difficulty. In...
Published by: IGI Global Scientific Publishing
Autonomous Control of Simulated Fixed Wing Aircraft using Deep Reinforcement Learning
Gordon Rennie
Sep 01, 2018
Autonomous control of aircraft is a challenging high-dimensional continuous control problem with applications in Unmanned Aerial Vehicles, autopilot systems and flight simulators. The problem domain appears well-suited to...
A new assay for rhamnolipid detection-important virulence factors of <em>Pseudomonas aeruginosa</em>
Maisem Laabei, William D. Jamieson, Simon E. Lewis, Stephen P. Diggle, A. Tobias A. Jenkins
Aug 01, 2014
Rhamnolipids (RLs) are heterogeneous glycolipid molecules that are composed of one or two l-rhamnose sugars and one or two β-hydroxy fatty acids, which can vary in their length and branch size. They are biosurfactants...
Impaired Punishment Learning in Conduct Disorder
Erik M. Elster, Ruth Pauli, Sarah Baumann, Stephane A. De Brito, Graeme Fairchild, Christine M. Freitag, Kerstin Konrad, Veit Roessner, Inti A. Brazil, Patricia L. Lockwood, Gregor Kohls
Apr 30, 2024
Objective: Conduct disorder (CD) has been associated with deficits in the use of punishment to guide reinforcement learning (RL) and decision making. This may explain the poorly planned and often impulsive antisocial and...
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis.
Razvan Bologheanu, Lorenz Kapral, Daniel Laxar, Mathias Maleczek, Christoph Dibiasi, Sebastian Zeiner, Asan Agibetov, Ari Ercole, Patrick Thoral, Paul Elbers, Clemens Heitzinger, Oliver Kimberger
Mar 28, 2023
Background
The optimal indication, dose, and timing of corticosteroids in sepsis is controversial. Here, we used reinforcement learning to derive the optimal steroid policy in septic patients based on data on 3051 ICU...
Published by: Journal of clinical medicine
Ergodicity and large deviations in physical systems with stochastic dynamics
Abstract
In ergodic physical systems, time-averaged quantities converge (for large times) to their ensemble-averaged values. Large deviation theory...
RL Jack
Apr 22, 2021
A Reinforcement Learning-Based Smart Educational Environment for Higher Education
Siyong Fu
Dec 23, 2022
Most higher education institutions use unique technologies to improve learning activities and provide comfortable learning. Higher education in a smart education environment (SEE) uses various tools and procedures to develop a...
Published by: IGI Global Scientific Publishing
Direct observation of the gene organization of the complement C4 and 21-hydroxylase loci by pulsed field gel electrophoresis.
Pulsed field gel electrophoresis and enzymes that cut genomic DNA infrequently have been used to define large RFLPs at the human C4 loci. With the enzymes BssH II or Sac II, and C4 or 21-hydroxylase DNA probes, it has been...
Tracer dynamics in one dimensional gases of active or passive particles
Abstract
We consider one-dimensional systems comprising either active run-and-tumble particles (RTPs) or passive Brownian random walkers. These particles are either noninteracting...
An Analysis of Route Duration Times in Vehicular Networks Considering Influential Factors
Vehicular ad hoc networks (VANETs) are part of intelligent transportation systems (ITS) and their main objective is to provide communication between vehicles. As self-organizing and configuring networks, with decentralized...
Published by: IGI Global Scientific Publishing
Thermal vestiges of avalanches in the driven random field Ising model
Abstract
We investigate the non-equilibrium behaviour of the 3 d random field Ising model at finite temperature, as an external field is increased...
A 'choice', an 'addiction', a way 'out of the lost'
BACKGROUND: Non-suicidal self-injury (NSSI) describes a phenomenon where individuals inflict deliberate pain and tissue damage to their bodies. Self-injurious behaviour is especially prevalent across the autism spectrum, but...
Entropy production and its large deviations in an active lattice gas
Abstract
Active systems are characterized by a continuous production of entropy at steady state. We study the statistics of entropy production within a lattice-based model of...
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