Titlebook: Machine Learning of Robot Assembly Plans; Alberto Maria Segre Book 1988 Kluwer Academic Publishers 1988 artificial intelligence.classifica

浪蕩子

Alberto Maria Segretions must be solved not for each particle separately but for the ensemble as a whole in this case. The author describes techniques for the generation of shapes of aggregates. The orientation averaging is performed by a numerical integration with respect to Euler angles. The numerical aspects of var

tendinitis

事物的方面

initiate

NUDGE

Scenario,In this chapter we examine a transcript of the ARMS system in operation. The emphasis here is in providing an intuitive feel for the operation of the system; later, we will revisit the same example and provide more detail.

neutralize

Explanation-Based Learning,The mechanism by which the ARMS system increases its planning ability belongs to that category of machine learning known as . (hereafter EBL) [2–6]. Explanation-based learning is a fairly recent addition to the machine-learning toolbox; relatively few systems have been implemented, and most are small prototypes.

承認(rèn)

指派

讓你明白

Summary and Future Work,nt, ARMS has raised many new issues that must yet be resolved. In this chapter we conclude our examination of the ARMS system with a discussion of its relation to other work, its extensibility, and directions for future research.

temperate

978-1-4612-8954-8Kluwer Academic Publishers 1988