Refining trait resilience: identifying engineering, ecological, and adaptive facets from extant measures of resilience

The current paper presents a new measure of trait resilience derived from three common mechanisms identified in ecological theory: Engineering, Ecological and Adaptive (EEA) resilience. Exploratory and confirmatory factor analyses of five existing resilience scales suggest that the three trait resilience facets emerge, and can be reduced to a 12-item scale. The conceptualization and value of EEA resilience within the wider trait and well-being psychology is illustrated in terms of differing relationships with adaptive expressions of the traits of the five-factor personality model and the contribution to well-being after controlling for personality and coping, or over time. The current findings suggest that EEA resilience is a useful and parsimonious model and measure of trait resilience that can readily be placed within wider trait psychology and that is found to contribute to individual well-bein

A coupled reaction-diffusion field model for perception-action cycle with applications to robot navigation

Copyright © 2008 Inderscience Enterprises Limited. All rights reserved.A generalised reaction-diffusion field model for robot navigation is proposed. It utilises two mutually antagonistic neural fields counteracting in patterns similar to that of flexor/extensor muscles controlling the movements in major joints in the human body. Combining local activation and generalised inhibition represented by Amari's neural field equations and extended by the Fitzhugh-Nagumo and Wilson-Cowan activator-inhibitor systems, results in the type of neural attractor dynamics that may lead to spontaneous oscillatory pattern formation. Preliminary simulation data suggest that this approach has utility in enabling a team of autonomous vehicles to navigate in a crowded pedestrian crossingEugene Aidman, Vladimir Ivancevic and Andrew Jenning

Artificial cognition for autonomous planar vehicles: modelling collision avoidance and collective manoeuvre

Copyright © 2008 Inderscience Enterprises Limited. All rights reserved.A hierarchical cognitive robotics model for a team of unattended robotic ground vehicles (UGVs) is proposed. The first level rigorously defines conflict resolution for a couple of UGVs, using dynamical games on SE(2)-groups of plane motion. The second level extends it to n UGVs, using Nash-equilibrium approach. The third provides adaptive guidance for several groups of UGVs. The fourth, collective manoeuvre level, proposes a combination of an attractor neural model and a fuzzy-neural 'supervisor', to perform an adaptive path definition and waypoints selection, as well as chaos control. The fifth, cognitive level, performs overall mission planning/feedback controlVladimir Ivancevic, Eugene Aidman and Leong Ye

Co-action in human and autonomous platform teams: A dynamical field approach

Eugene V. Aidman, Vladimir Ivancevic & Leong Ye

Operator fatigue in Army personnel: a multi-method research program

Since 2012 the Defence Science and Technology Organisation has undertaken a number of studies both in the field and in the laboratory investigating operator fatigue in Army Personnel. This program of research has employed multiple measures, methods and tools to better understand the multi-faceted nature of fatigue and how its effects are manifested.Justin Fidock, Eugene Aidman, Vic Demczuk, Carolyn Chadunow, Kayla Johnson, and Gary Coomb