Hussein Abbass | DeepAI

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∙ 01/25/2023

Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments

Robotic shepherding is a bio-inspired approach to autonomously guiding a...

0 Jing Liu, et al. ∙

∙ 11/22/2022

Contextually Aware Intelligent Control Agents for Heterogeneous Swarms

An emerging challenge in swarm shepherding research is to design effecti...

0 Adam Hepworth, et al. ∙

∙ 08/26/2022

Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts

Contemporary swarm indicators are often used in isolation, focused on ex...

0 Adam Hepworth, et al. ∙

∙ 04/01/2022

Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance

Neural-based learning agents make decisions using internal artificial ne...

0 Duy Tung Nguyen, et al. ∙

∙ 09/14/2021

Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control

Artificial Intelligence (AI) is rapidly becoming integrated into militar...

0 Jacob Simpson, et al. ∙

∙ 01/04/2019

Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding

The design of reward functions in reinforcement learning is a human skil...

0 Nicholas R. Clayton, et al. ∙

∙ 01/04/2019

Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design

Swarm control is a difficult problem due to the need to guide a large nu...

0 Alexander Gee, et al. ∙

∙ 12/21/2018

Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents

Artificial Intelligence (AI) technologies could be broadly categorised i...

0 Hussein Abbass, et al. ∙

∙ 10/10/2018

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction

In apprenticeship learning (AL), agents learn by watching or acquiring h...

0 Hung Nguyen, et al. ∙

∙ 08/19/2018

Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges

Human-swarm interaction (HSI) involves a number of human factors impacti...

0 Aya Hussein, et al. ∙

∙ 02/27/2018

Networking the Boids is More Robust Against Adversarial Learning

Swarm behavior using Boids-like models has been studied primarily using ...

0 Jiangjun Tang, et al. ∙

∙ 02/27/2018

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

This paper offers a multi-disciplinary review of knowledge acquisition m...

0 George Leu, et al. ∙

∙ 02/27/2018

Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition

In this paper we provide an insight into the skill representation, where...

0 George Leu, et al. ∙

∙ 02/27/2018

On the role of working memory in trading-off skills and situation awareness in Sudoku

Working memory accounts for the ability of humans to perform cognitive p...

0 George Leu, et al. ∙

∙ 02/26/2018

Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model

Sociotechnical systems are complex systems, where nonlinear interaction ...

0 Jiangjun Tang, et al. ∙

∙ 12/19/2017

Effects of update rules on networked N-player trust game dynamics

We investigate the effects of update rules on the dynamics of an evoluti...

0 Manuel Chica, et al. ∙

∙ 07/03/2009

Robustness and Adaptiveness Analysis of Future Fleets

Making decisions about the structure of a future military fleet is a cha...

0 Slawomir Wesolkowski, et al. ∙

∙ 07/03/2009

Network Topology and Time Criticality Effects in the Modularised Fleet Mix Problem

In this paper, we explore the interplay between network topology and tim...

0 James M. Whitacre, et al. ∙

∙ 07/03/2009

Computational Scenario-based Capability Planning

Scenarios are pen-pictures of plausible futures, used for strategic plan...

0 Hussein Abbass, et al. ∙

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