Nothing Special   »   [go: up one dir, main page]

Zhang et al., 2021 - Google Patents

Evolutionary game and collaboration mechanism of human-computer interaction for future intelligent aircraft cockpit based on system dynamics

Zhang et al., 2021

Document ID
7344020364836073517
Author
Zhang X
Sun Y
Zhang Y
Publication year
Publication venue
IEEE Transactions on Human-Machine Systems

External Links

Snippet

The application of artificial intelligence in designing the future aircraft cockpit may lead to conflicts especially during the human-computer decision-making process. To harmonize the human-computer relationship, the evolutionary game and collaboration mechanism based …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/105Human resources
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data

Similar Documents

Publication Publication Date Title
Ritter et al. ACT‐R: A cognitive architecture for modeling cognition
Wang et al. Recent progress in reinforcement learning and adaptive dynamic programming for advanced control applications
Zhang et al. Evolutionary game and collaboration mechanism of human-computer interaction for future intelligent aircraft cockpit based on system dynamics
Keneni et al. Evolving rule-based explainable artificial intelligence for unmanned aerial vehicles
Duriez et al. Machine learning control-taming nonlinear dynamics and turbulence
Alvarenga et al. A critical review of methods and models for evaluating organizational factors in Human Reliability Analysis
Stengel Toward intelligent flight control
Levis Challenges to control: A collective view--Report of the workshop held at the University of Santa Clara on September 18-19, 1986
Allaire et al. Dynamic data driven methods for self-aware aerospace vehicles
Lyu et al. Tdm: trustworthy decision-making via interpretability enhancement
CN116663416A (en) CGF decision behavior simulation method based on behavior tree
Boy Model-based human systems integration
McNeese Humane intelligence: A human factors perspective for developing intelligent cockpits
Boy Aerospace human systems integration: Evolution over the last 40 years
Harvey Joint extension speed dictates bio-inspired morphing trajectories for optimal longitudinal flight dynamics
Sullivan et al. Using neural networks to assess flight deck human–automation interaction
Sent Engineering dynamic economics
Wu et al. Imitation-Based Reinforcement Learning for Markov Jump Systems and Its Application
Harper et al. A methodology for provably stable behaviour-based intelligent control
Michailidis et al. Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties
Hou et al. Interaction‐Centered Design: An Enduring Strategy and Methodology for Sociotechnical Systems
Orellana et al. Analyzing human machine interaction and interfaces through model based system engineering practices
Duca et al. Human behavior modelling in socio-technical system simulation: a case study on air traffic control
Cagan et al. A Computational Model of Human Proficiency in Engineering Configuration Design
Lew et al. Applications of dynamic human reliability analysis (dHRA) for context aware operations