Systems, man and cybernetics, international conference, Dallas, 2 - 4 oct., 1974
Computers and railroad history: an essay on historical opportunities
A comparative analysis of two basic philosophies in instructor station design
Beyond brain training: Cognitive science and instructional systems design
Influence of instructional systems development (ISD) on simulator design
Fast learning in symbolic/neural models using external constraints and automatic re-structuring
Artificial neural networks and approximate reasoning for intelligent control in space
Toward autonomous driving: the CMU Navlab. II. Architecture and systems
An explanation-based-learning approach to knowledge compilation: a Pilot's Associate application
Learning control strategies for chemical processes: a distributed approach
Stochastic optimal control of active vehicle suspensions using learning automata
Multisensory shared autonomy and tele-sensor programming - Key issues in space robotics
Multiresolutional schemata for unsupervised learning of autonomous robots for 3-D space operation
Hidden Markov model approach to skill learning and its application to telerobotics
Fuzzy reasoning method with learning funktion for rear-end collision avoidance system
An on-line adaptation method in a neural network based control system for AUVs
The use of artificial neural networks for the intelligent optimal control of surface ships
Moderated reinforcement learning of active and semi-active vehicle suspension control laws
Linear and neural network feedback for flight control decoupling
SSME parameter model input selection using genetic algorithms
An artificial intelligence system of trouble diagnosis for aircraft engines
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Intelligent ship control with online learning ability
Learning and adaptation in an airborne laser fire controller
Adaptive multi-sensor integration for mine detection
Vehicle merging algorithm for automated transportation systems using fuzzy logics
Modern elevator group supervisory control systems and neural networks technique
The past, present, and future of neural networks for signal processing
Learning algorithms for suppressing motion clutter in airborne array radar
Adaptive fuzzy control of satellite attitude by reinforcement learning
Intelligent training of a multi-resolution associative memory network