6 citations · 10 across the 7 of their papers we have counts for
7 papers
Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution
Jiangjun Tang, George Leu, Yu-Bin Yang
This paper presents a swarm teaming perspective that enhances the scope of classic investigations on survivable networks. A target searching generic context is considered as test-b…
On educating machines
George Leu, Jiangjun Tang
Machine education is an emerging research field that focuses on the problem which is inverse to machine learning. To date, the literature on educating machines is still in its infa…
Survivable Networks via UAV Swarms Guided by Decentralized Real-Time Evolutionary Computation
George Leu, Jiangjun Tang
The survivable network concept refers to contexts where the wireless communication between ground agents needs to be maintained as much as possible at all times, regardless of any…
Networking the Boids is More Robust Against Adversarial Learning
Jiangjun Tang, George Leu, Hussein Abbass
Swarm behavior using Boids-like models has been studied primarily using close-proximity spatial sensory information (e.g. vision range). In this study, we propose a novel approach…
Behavioral Learning of Aircraft Landing Sequencing Using a Society of Probabilistic Finite State Machines
Jiangjun Tang, Hussein A. Abbass
Air Traffic Control (ATC) is a complex safety critical environment. A tower controller would be making many decisions in real-time to sequence aircraft. While some optimization too…
On the role of working memory in trading-off skills and situation awareness in Sudoku
George Leu, Jiangjun Tang, Hussein Abbass
Working memory accounts for the ability of humans to perform cognitive processing, by handling both the representation of information (the mental picture forming the situation awar…