most citedSurvivable Networks via UAV Swarms Guided by Decentralized Real-Time Evolutionary Computation

6 citations · 6 across the 1 of their papers we have counts for

collaborators

7 papers

cs.NE2019

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…

cs.AI2019

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…

cs.MA20196 cited

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…

cs.NE2018

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…

cs.HC2018

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…

cs.AI2018

A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents

George Leu, Hussein Abbass

This paper offers a multi-disciplinary review of knowledge acquisition methods in human activity systems. The review captures the degree of involvement of various types of agencies…