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Found 6 papers, 0 papers with code
Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution
Results are encouraging, showing a good evolution of the fitness function used as part of the differential evolution, and a good performance of the evolved dual-swarm system, which exhibits an optimal trade-off between target reaching and connectivity.
On educating machines
Machine education is an emerging research field that focuses on the problem which is inverse to machine learning.
Networking the Boids is More Robust Against Adversarial Learning
Swarm behavior using Boids-like models has been studied primarily using close-proximity spatial sensory information (e. g. vision range).
A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents
This paper offers a multi-disciplinary review of knowledge acquisition methods in human activity systems.
Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition
The neural network based skills are then coupled with a hard-coded constraint propagation computational Sudoku solver, in which the solving sequence is kept hard-coded, and the skills are represented through neural networks.
A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data
Trusted autonomy is the scientific and engineering field to establish the foundations and ground work for developing trusted autonomous systems (robotics and software agents) that can be used in our daily life, and can be integrated with humans seamlessly, naturally and efficiently.
