Titlebook: Human and Machine Problem Solving; K. J. Gilhooly Book 1989 Plenum Press, New York 1989 Action.Memory.Problem Solving.Processing.algorithm

Stubborn

書(shū)目名稱(chēng)Human and Machine Problem Solving影響因子(影響力)




書(shū)目名稱(chēng)Human and Machine Problem Solving影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Human and Machine Problem Solving網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Human and Machine Problem Solving網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Human and Machine Problem Solving被引頻次




書(shū)目名稱(chēng)Human and Machine Problem Solving被引頻次學(xué)科排名




書(shū)目名稱(chēng)Human and Machine Problem Solving年度引用




書(shū)目名稱(chēng)Human and Machine Problem Solving年度引用學(xué)科排名




書(shū)目名稱(chēng)Human and Machine Problem Solving讀者反饋




書(shū)目名稱(chēng)Human and Machine Problem Solving讀者反饋學(xué)科排名

FLORA

Nonadversary Problem Solving by Machine,sentence, or planning a sequence of robot actions. In this chapter we shall adopt a rather more specialized meaning for the term and regard it as covering the study of the properties of algorithms (1) for conducting search and (2) for construction and manipulating plans of action.

浮夸

Machine Inference,dge. Many such machines are primarily concerned with numerical computation. However, during the last few years, systems have been built that can “reason” in the sense that they are able to check a body of knowledge for consistency and are able to infer implicit knowledge from that which they have been given explicitly.

WAIL

neolith

Adversary Problem Solving by Machine,Methods of problem solving by machine have been discussed in a previous chapter. In principle, the adversary makes very little difference; adversary problem-solving graphs are just special cases of . graphs (Nilsson, 1980). Nevertheless specialized techniques have been developed, many of them highly efficient problem-independent search procedures.

Bereavement

Human and Machine Problem Solving: A Comparative Overview,In this chapter I will be reviewing, with a comparative eye, the substantive pairs of chapters in the body of this book. I will be particularly concerned with questions of mutual influences between research on human and machine problem solving and with general principles that emerge from a comparative reading of Chapters 2 through 12.

擴(kuò)張

gait-cycle

舊病復(fù)發(fā)

Machine Expertise,rtant to remember this long history of the mechanization of problem solving. It puts present-day artificial intelligence efforts into perspective. Expert systems are, in a way, a continuation of a tradition going back to Babbage.

outer-ear