The problem to be taken up and the point at which the search for a solution will begin are customarily prescribed by the investigator (1) a subject participating in an (2) on thinking (or by the programmer for a computer). (3) , prevailing techniques of (4) in the psychology of thinking have invited (5) of the motivational aspects of thinking. The conditions that determine when the person will begin to think in (6) to some other activity, what he will think about, what direction his thinking will take, and when he will regard his search for a solution as successfully terminated (or abandon it as not worth pursuing further) (7) are beginning to attract investigation. (8) much thinking is aimed at (9) ends, special motivational problems are raised by "disinterested" thinking, in which the (10) of an answer to a question is a source of satisfaction in itself.
For computer specialists, the detection of a mismatch between the formula that the program so far has (11) and some formula or set of requirements that (12) a solution is what impels continuation of the search and determines the direction it will (13) .
Neo-behaviorists (like psychoanalysts) have made much of secondary (14) value and stimulus generalization; i. e. , the tendency of a stimulus pattern to become a source of satisfaction if it resembles or has (15) accompanied some form of biological gratification. The insufficiency of this kind of explanation becomes apparent, (16) , when the importance of novelty, surprise, complexity, incongruity, ambiguity, and (17) is considered. Inconsistency between beliefs, between items of incoming sensory information, or between one’s belief and an item of sensory information (18) can be a source of discomfort impelling a (19) for resolution through reorganization of belief (20) or through selective acquisition of new information.

A:search B:wish C:plea D:talent

When I am a boss, I will no longer have to search for this thing. This sentence means ______.

A:when I have power, I will have happiness B:being a boss is more important than feeling happy C:when I become a boss, I will never search for happiness D:boss and this thing mean the same to boss and I

First Image-recognitions software 1）Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before. 2）The new system, witch was tested on photos and is now being applied to videos, shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is accurate and efficienti enough to improve large-scale document searches online. The system uses pixel（像素）data in images and potentially video—rather than just text—to locate documents. It learns to recognize the pixels associatedwith a search phrase by studying the results from text-based image search engines. The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（图片说明）,making for more accurate document search results. 3）"Over the last 30 years," says Associate Professor Korenzo Torresani, a co-author of the study,"the web has evolved from a small collection of mostly text documents to a modern, massive, fast-growing multimedia datastet, where nearly every page includes multiple pictures of videos. When a person looks at a Web page, he immediately get the gist（主旨）of it by looking at the pictures in it. Yet, sruprisingly, all existing popular search engine, such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Wed pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pixels to improve document search" 4）The researchers designed and tested a machine vision system—a type of artificialintelligence that allows computers to learn without being explicitly programmed—that extracts semantic（语义的）information from pixels of photos in Web pages. This informationg is used to enrich the description of the HTML page used by search engines for document retrieval. The researchers tested their approach using more than 600 search queries（查询）on a database of 50 million Wed pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages. They found tht this produced a 30 percent improvement in precision over the original search engine purely based on text.

A:information in images B:current popular search engines C:using photos D:machine vision systems E:document search F:description of the HTML page

First Image-recognitions software 1）Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before. 2）The new system, witch was tested on photos and is now being applied to videos, shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is accurate and efficienti enough to improve large-scale document searches online. The system uses pixel（像素）data in images and potentially video—rather than just text—to locate documents. It learns to recognize the pixels associatedwith a search phrase by studying the results from text-based image search engines. The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（图片说明）,making for more accurate document search results. 3）"Over the last 30 years," says Associate Professor Korenzo Torresani, a co-author of the study,"the web has evolved from a small collection of mostly text documents to a modern, massive, fast-growing multimedia datastet, where nearly every page includes multiple pictures of videos. When a person looks at a Web page, he immediately get the gist（主旨）of it by looking at the pictures in it. Yet, sruprisingly, all existing popular search engine, such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Wed pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pixels to improve document search" 4）The researchers designed and tested a machine vision system—a type of artificialintelligence that allows computers to learn without being explicitly programmed—that extracts semantic（语义的）information from pixels of photos in Web pages. This informationg is used to enrich the description of the HTML page used by search engines for document retrieval. The researchers tested their approach using more than 600 search queries（查询）on a database of 50 million Wed pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages. They found tht this produced a 30 percent improvement in precision over the original search engine purely based on text.

A:information in images B:current popular search engines C:using photos D:machine vision systems E:document search F:description of the HTML page

The search method processed only on sequential storage is (75) 。

A:sequential search B:binary search C:tree search D:hash search

______ are web sites that search the web for occurrences of a specified word or phrase.

A:Search engines B:WWW C:Internet D:Java

（）are web sites that search the web for occurrences of a specified word or phrase.

A:Search engines B:WWW C:Internet D:Java

（）are web sites that search the web for occurrences of a specified word or phrase.

A:Search engines B:WWW C:Internet D:Java