"The central fact is that we are planning agents." (M. Bratman, Intentions, Plans, and Practical Reasoning, 1987, p. 2) Recent arguments to the contrary notwithstanding, it seems to be the case that people-the best exemplars of general intelligence that we have to date do a lot of planning. It is therefore not surprising that modeling the planning process has always been a central part of the Artificial Intelligence enterprise. Reasonable behavior in complex environments requires the ability to consider what actions one should take, in order to achieve (some of) what one wants and that, in a nutshell, is what AI planning systems attempt to do. Indeed, the basic description of a plan generation algorithm has remained constant for nearly three decades: given a desciption of an initial state I, a goal state G, and a set of action types, find a sequence S of instantiated actions such that when S is executed instate I, G is guaranteed as a result. Working out the details of this class of algorithms, and making the elabora tions necessary for them to be effective in real environments, have proven to be bigger tasks than one might have imagined.
This collection of research provides insight on both robotics and basic algorithms and could serve as a reference book for courses related to robotics, special topics in AI, planning, applied soft computing, applied AI, and applied ...
This book discuses, in detail, a number of state-of-the-art planning systems that utilize constraint satisfaction techniques in order to deal with time and resources, machine learning in order to utilize experience drawn from past runs, ...
This comprehensive book will ensure your business plan is robust enough to start, run or revitalise any business enterprise.
... planning for dimensional inspection of dies and molds having complex surface. Int J Mach Tools Manuf 35(6):861–876 Lu CG, Morton D, Myler P, Wu MH (1995) An artificial intelligent (AI) inspection path management for multiple tasks ...
The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipate and plan is an essential feature of intelligent systems, whether human or machine.
5 Experimental Results To illustrate the difference between ALPINE's and ABSTRIPS's abstractions, the use of these abstractions are compared using the PRODIGY problem solver [Carbonell et al., 1991] in the STRIPs domain.
The Definitive Business Plan will make sure your plan is good enough to start, run or revitalise any business enterprise. "Truly a practical guide to better business planning. The book is friendly and easy to read.
[37] Chiodini, V. (1980),”An Expert System for Dynamic Manufacturing Rescheduling”, Symposium on Real Time ... “KDPAG expert system applied to materials design and manufacture”, Engineering Applications of Artificial Intelligence, Vol.
While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers ...
... intelligent planning system for the formulation of set-up plans that can be used by the currently available CAPP and CAFP systems. The emphasis of our work is on developing an object-oriented feature ... PLANNING: A PRE-PLANNING PROCESS.