The following text field will produce suggestions that follow it as you type.

Barnes and Noble

Loading Inventory...
Universal Subgoaling and Chunking: The Automatic Generation Learning of Goal HierarchiesUniversal Subgoaling and Chunking: The Automatic Generation Learning of Goal Hierarchies

Universal Subgoaling and Chunking: The Automatic Generation Learning of Goal Hierarchies in Bloomington, MN

By Barnes & Noble

Current price: $169.99
Get it at Barnes and Noble
Universal Subgoaling and Chunking: The Automatic Generation Learning of Goal Hierarchies

Universal Subgoaling and Chunking: The Automatic Generation Learning of Goal Hierarchies in Bloomington, MN

Current price: $169.99
Loading Inventory...

Size: Hardcover

Get it at Barnes and Noble
Rarely do research paths diverge and converge as neatly and productively as the paths exemplified by the two efforts contained in this book. The story behind these researches is worth recounting. The story, as far as I'm concerned, starts back in the Fall of1976, when John Laird and Paul Rosenbloom, as new graduate students in computer science at Carnegie—Mellon University, joined the Instructible Production System (IPS) project (Rychener, Forgy, Langley, McDermott, Newell, Ramakrishna, 1977; Rychener & Newell, 1978). In those days, production systems were either small or special or both (Newell, 1973; Shortliffe, 1976). Mike Rychener had just completed his thesis (Rychener, 1976), showing how production systems could effectively and perspicuously program the full array of artificial intelligence (AI) systems, by creating versions of Studellt (done in an earlier study, Rychener 1975), EPAM, GPS, King—Pawn—King endgames, a toy—blocks problem solver, and a natural—language input system that connected to the blocks—world system.
Rarely do research paths diverge and converge as neatly and productively as the paths exemplified by the two efforts contained in this book. The story behind these researches is worth recounting. The story, as far as I'm concerned, starts back in the Fall of1976, when John Laird and Paul Rosenbloom, as new graduate students in computer science at Carnegie—Mellon University, joined the Instructible Production System (IPS) project (Rychener, Forgy, Langley, McDermott, Newell, Ramakrishna, 1977; Rychener & Newell, 1978). In those days, production systems were either small or special or both (Newell, 1973; Shortliffe, 1976). Mike Rychener had just completed his thesis (Rychener, 1976), showing how production systems could effectively and perspicuously program the full array of artificial intelligence (AI) systems, by creating versions of Studellt (done in an earlier study, Rychener 1975), EPAM, GPS, King—Pawn—King endgames, a toy—blocks problem solver, and a natural—language input system that connected to the blocks—world system.

Find at Mall of America® in Bloomington, MN

Visit at Mall of America® in Bloomington, MN
Powered by Adeptmind