《人工智能》章节试读

《人工智能》的笔记-第57页

(55---57页)1，rule-based expert systems
2，their relative merits
3，the law of the excluded middle
4，calculate the composite conclusion
5，the same uniform level of expertise throughout a domain

《人工智能》的笔记-第127页

(125---127页)1，...presented the concept of ...
2，adverbs such as very, somewhat, quite, more or less and slightly
3，an iterative process
4，the most laborious and tedious part in...
5，the universe of discourse for man weights
6，provide examples, give examples

《人工智能》的笔记-第93页

(90---93页)1，Crisp set theory
2，...by a logic
3，Peter at 205cm tall
4，...as to whether a given man should be considered as tall
5，Tom is 0.82 tall
6，a graceful transition across a boundary
7，short men, average men, very tall men
8，membership value
9，In our case,...
10，...according to the decrease of their heights
11，if x is totally in A,,,,,,if x is partly in A
12，In a similar manner,...

《人工智能》的笔记-第106页

(103---106页)1，classical rules are expressed in the black-and-white language of Boolean logic.
2，stopping distance rules
3，slow, medium and fast
4，short, medium and long
5，reason with fuzzy rules
6，the rule antecedent
7，the rule consequent
8，The .... fuzzy inference process is performed in four steps:...
9，To see how everything fits together
10，project staffing
11，inadequate, marginal and adequate

《人工智能》的笔记-第97页

(94---97页)1，At the root of ... theory lies the idea of ....
2，serves the same purpose as...
3，This operation can be performed by...
4，If Tom has a 0.86 membership in the set of ...
5，more or less tall men
6，graphical representation (of)...

《人工智能》的笔记-第124页

(121页)1，...to perform fuzzy inference into the expert system
2，...is also preferable for novices
3，It is easy to master and convenient to use
4，The last, and the most laborious, task is to....
5，...we encounter difficulties in....
6，an acknowledged advantage of...
7，...if required
8，it is suggested that ....
9，reduce the force of any rule // the rule's force
10，...appears to provide consistent results

《人工智能》的笔记-第114页

(111---114页)1，aggregate fuzzy set
2，As Figure 4.13 shows
3，In theory,.....,but in practice,....
4，..., as we have just seen,...
5，...is not computationally efficient
6，the "Zadeh of Japan"
7，...,or more precisely..
8，...that is unity at.... and zero everywhere else
9，The only distinction is that...
10，As you can see from ....
11，...might be sufficient for our problem's needs
12，....entails a substantial computational burden
13，....is computationally effective

《人工智能》的笔记-第61页

(58---61页)1，a head or a tail of a coin
2，...is denoted / represented mathematically as ...
3，the following set of equations

《人工智能》的笔记-第110页

(107---110页)1，The first step is to....
2，expert judgments // expert estimate
3，they are fuzzified against the appropriate linguistic fuzzy sets
4，..each input is fuzzified over all the membership functions used by the fuzzy rules.
5，the rule antecedent
6，the rule outputs

《人工智能》的笔记-第89页

（87---89页）1，illustrate the theory through an example
2，...have no difficulties with understanding and interpreting this statement
3，..they have the background to (doing sth)
4，all things admit of degrees
5，As can be seen in Figure...
6，...imposes a sharp boundary on ...
7，Let us now dispute this principle.

《人工智能》的笔记-第102页

(98---102页)1，complement, containment, intersection and union
2，The fuzzy operation for forming ... can be given (obtianed) as...
3，all degree of memberships

《人工智能》的笔记-第120页

(115---120页)1，A typcial process in ... incorporates the following steps:....
2，to perform fuzzy inference
3，Specify the problem
4，For our problem,...
5，the domain expert
6，...can have a variety of shapes
7，As you may notice,...
8，to respond smoothly
9，flow diagrams
10，in the research paper
11，...is depicted as...
12，...takes the shape of....