Rage Against the Machines: How Subjects Learn to Play Against Computers [PDF]
We use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms.
Albert Kolb +2 more
core +3 more sources
From knowing to doing: Learning diverse motor skills through instruction learning
Recent years have witnessed many successful trials in the robot learning field. For contact-rich robotic tasks, it is challenging to learn coordinated motor skills by reinforcement learning.
Linqi Ye +5 more
doaj +1 more source
Influence of action-effect associations acquired by ideomotor learning on imitation.
According to the ideomotor theory, actions are represented in terms of their perceptual effects, offering a solution for the correspondence problem of imitation (how to translate the observed action into a corresponding motor output).
Frédérique Bunlon +3 more
doaj +1 more source
THE POTENTIAL OF USING IMITATION AS LEARNING IN ENHANCING THE SOCIAL BEHAVIOR OF CHILDREN WITH ASD [PDF]
A plethora of studies have been conducted with regards to imitation as primary method of learning trough which children acquire new skills. A serious amount of evidence has been brought up in recent years suggesting that ‘being imitated’ presents social ...
Oprea-Valentin BUȘU +2 more
doaj
Hand to mouth: automatic imitation across effector systems [PDF]
The effector-specificity of automatic imitation was investigated using a stimulus-response compatibility (SRC) procedure in which participants were required to make an open or a close response with either their hand or their mouth.
Heyes, C., Leighton, J.
core
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Numerical Modeling of Tank Cars Carrying Hazardous Materials With and Without Composite Metal Foam
Large‐scale puncture models consisting of hazardous materials (HAZMATs) tank car with protective steel–steel composite metal foam (S–S CMF) are solved numerically. Tank car plate with added 10.91–13.33 mm thick S–S CMF layer does not puncture. Protective S–S CMF absorbs impact energy, reduces plate deformation, and prevents shear bands formation ...
Aman Kaushik, Afsaneh Rabiei
wiley +1 more source
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Imitation Learning for Robot Motions Based on Multimodal Foundation Model and Style Transformation
Recently, robots capable of coexisting with humans have become increasingly common. These robots are expected to perform various actions depending on their environment.
Masaya Nakano +2 more
doaj +1 more source

