【发布时间】:2014-02-12 23:34:32
【问题描述】:
我今年 14 岁(实际上不到一个小时就 15 岁了 :D),我真的在这方面苦苦挣扎。 我正在尝试创建一个非常基本的学习 AI。目前我只是在尝试建立它的框架,帮助它学习新单词的部分,所以它有点混乱和粗糙。 无论如何,这个想法是,当它不理解一个词时,它会询问它是什么,然后如果用户提供的同义词被识别,它将把它添加到同义词的同义词列表中。 不幸的是,我不断遇到错误和问题,现在我很困惑。 请帮我看看。哦,我为它糟糕的结构和糟糕的其他一切表示歉意:
#standard dictionary
dictionary = {1:"hi",2:"yes",3:"no"}
wordvariations=[[],["yes,Yes"],["no,No"]]
#variables
breaker=0
response = "error"
success=0
#import
from random import choice
#word types
question_words= {"who","what","where","why","when","which","how","whom","Who","What","Where","Why","When","Which","How","Whom"}
#What does that mean?
def what_does_that_mean(new_word):
link_word = input("Sorry, I don't know what that means. Could you tell me? It means the same as the word...\n")
success=0
for current_dict in wordvariations:
if link_word in current_dict == TRUE:
print ("Thanks")
current_dict.append[new_word]
success=1
break
if success == 0:
tryagain = input("Sorry, I don't know what that means either. Would you like to try again? (y/n) \n")
if input == "y":
testword= input("Give me another word \n")
what_does_this_mean(testword)
else: return
#First start
possible_greeting =input("Hey. Nice to meet you.\n")
split_greeting = possible_greeting.split()
for each_word in split_greeting:
if each_word in question_words:
response = "Sorry, I can't answer questions yet"
breaker=1
break
elif (each_word == ("too")):
response = "Thanks"
breaker=1
break
else: pass
if breaker ==1:
pass
else:
yes_no = input("Is that how you usually greet people?\n")
if yes_no == "yes":
wordvariations[1].append(possible_greeting)
elif yes_no=="no":
new_greeting = input("Ok then. How do you often greet people?")
wordvariations[1].append(new_greeting)
else:
what_does_that_mean(yes_no)
#print (response)
#Other stuff
current_greeting = choice(wordvariations[1])
print (current_greeting)
如果任何缩进看起来真的不对,我可能把它放在问题框中是错误的。
我非常感谢这里的任何帮助 - 我觉得我在兜圈子。目前,搜索似乎无法正常工作,因为它从未找到结果。最需要修复的是找词功能区,剩下的只是一个启动脚本,让事情顺利进行。试着忽略那些完全无用的部分,这些部分只是为了以后。
提前致谢:)
【问题讨论】:
-
您能否举例说明您将与此进行的交互以及您希望它做什么?
-
“是,是”的预期用途是什么?
-
结构看起来可以正常工作(但可能是我累了)
标签: python list machine-learning artificial-intelligence