## Planning and ControlTechniques from artificial intelligence, control theory, operations research, and the decision sciences are invoked in this text/reference devoted to the design of complex systems for applications in robotics, automated manufacturing, and time-critical decision support systems. Annotation copyri Bo |

### Contents

Introduction | 1 |

Dynamics of Physical Systems | 29 |

Temporal Reasoning | 53 |

Copyright | |

9 other sections not shown

### Common terms and phrases

achieve action additional agent algorithm allocated apply approach appropriate approximation associated assume basic basis behavior called Chapter closed complex component computational concerned consider control systems corresponding cost decision defined depends described determine direct distribution dynamical system effects environment equations error estimate evidence example execution expected Figure function given goal holds indicates initial input instance interested interval introduce involving issues learning linear logic mean measure methods node object observable obtain optimal outcomes output parameters particular performance planning position possible predict probabilistic probability problem procedure programming proposition reasoning reduce referred relation represent representation respect response restrict result reward robot rule satisfied scheduling sensors sequence simple situation space specified step strategy Suppose task techniques temporal theory tion truck utility valve variables