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Widrow, B. and Smith, F.W (1964). Pattern recognising control systems , In Computer and Information Sciences (eds. Tou, J.T. and Wilcox, R.H.). Clever Hume Press.

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Building Symbolic Representations of Intuitive Real-time.. - Michie, Camacho (1994)   (2 citations)  (Correct)

....work trials have not yet been made of the lines and pointers representation. Second conclusion: induction of rules from behaviour. Machine learning by imitation of a trained human was first shown for the inverted pendulum by Donaldson (1960) and partially reproduced under bang bang conditions by Widrow and Smith (1964). Our concern was to test the ability of modern induction REAL TIME SKILLS Xi Xi Xi Xi Xi Xi r e Arrow indicates current direction of motor Figure 15.2. Diagram of the pole and cart task algorithms to extract from the behavioural record the kinds of rules believed to accumulate in ....

Widrow, B. and Smith, F.W (1964). Pattern recognising control systems , In Computer and Information Sciences (eds. Tou, J.T. and Wilcox, R.H.). Clever Hume Press.


Learning to Fly - Sammut (1992)   (50 citations)  (Correct)

....the subject of much research in machine learning in recent years, we know of few attempts to learn control rules by observing human behaviour. Michie, Bain and Hayes Michie (1990) used an induction program to learn rules for balancing a pole (in simulation) and earlier work by Donaldson (1960) Widrow and Smith (1964) and Chambers and Michie (1969) demonstrated the feasibility of learning by imitation, also for pole balancing. To our knowledge, the autopilot described here is the most complex control system constructed by machine learning methods. The task we set ourselves was to teach the autopilot how to ....

Widrow, B. and Smith, F. W. (1964). Pattern recognising control systems. In J. T. Tou and R. H. Wilcox (Eds.), Computer and Information Sciences Clever Hume Press.

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