,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,4995,slp_chapter9_3,midterm_2,T5,Best Condition - with Davinci,What do we randomly sample other words in the lexicon to get?,negative samples,4995
1,4834,chapter19_5,midterm_2,T5,Best Condition - with Davinci,What are the three main types of learning?,"percept learning, thought learning, and rational learning",4834
2,3895,chapter16_3,midterm_1,T5,Fewshot,Agents with linear utility curves are what?,risk neutral,3895
3,4807,chapter19_3,midterm_2,T5,Best Condition - with Davinci,What is the uncertainty of a random variable?,0,4807
4,728,slp_chapter6_12,midterm_2,GPT3,GoodSummary,"What is the most difficult dataset for intrinsic evaluation? 
",The most difficult dataset for intrinsic evaluation is the wordsim-3dataset.,728
5,6054,chapter_27_1_4,1st midterm,GPT3,From GPT-3 generated summary,"What is the threshold for a program to pass the test?
","If the interrogator is fooled 3of the time, the program passes the test.",6054
6,2891,chapter16_2,midterm_2,T5,BadSummary,What is the term for an agent who is indifferent between two lotteries A and B?,SUBSTITUTABILITY,2891
7,2040,chapter16_3,midterm_1,T5,GoodSummary,What type of preferences can an agent have?,irrational,2040
8,1851,slp_chapter9_3,midterm_2,GPT3,Fewshot,"What can you use the weights as?
",You can use the weights as the embeddings.,1851
9,5746,chapter_2_4_6,1st midterm,T5,From raw text,What tells the learning element how well the agent is doing with respect to a fixed performance standard?,The critic,5746
10,6418,chapter_3_4,1st midterm,T5,From GPT-3 generated summary,What type of search algorithm is given no clue about how close a state is to the goal?,uninformed,6418
11,356,chapter27_1,midterm_1,GPT3,GoodSummary,"What is gofai?
",Gofai is the simplest logical agent that cannot capture every rule.,356
12,987,slp_chapter6_1,midterm_2,GPT3,BadSummary,"What is lexical decomposition?
",Lexical decomposition is the process of breaking down a word into smaller words to get to the,987
13,1111,chapter6_5,midterm_1,GPT3,Zero,"What is the time complexity of tree with topo sort?
",The time complexity of tree with topo sort is o(n^d).,1111
14,6061,chapter_27_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is the conclusion of the chinese room argument?
",The conclusion of the chinese room argument is that computers generate no understanding.,6061
15,6242,chapter_27_1_2,1st midterm,T5,From GPT-3 generated summary,"What does the ""argument from disability"" claim machines can never do?",X,6242
16,802,chapter7_1,midterm_1,GPT3,BadSummary,What does the agent program tell the knowledge base every time it is called?,"The agent program tells the knowledge base every time it is called what it perceives, asks what is should perform, and then tells the knowledge base what action was taken.",802
17,943,slp_chapter5_1,midterm_2,GPT3,BadSummary,"What is a discriminative model?
",A discriminative model is a model that discriminates between different data.,943
18,3770,chapter2_3,midterm_1,T5,Fewshot,What is one in which the agent is the only agent in the environment?,single agent environment,3770
19,1216,chapter12_7,midterm_2,GPT3,Zero,"What is the wumpus world?
",The wumpus world is a world where agents can only get partial information about the world around them.,1216
20,5209,chapter_3_3_4,1st midterm,GPT3,From raw text,"2
",To,5209
21,3607,slp_chapter5_3,midterm_2,T5,Zero,What is the goal of the loss function?,"to choose the parameters w,b that minimize the loss",3607
22,1502,chapter3_6,midterm_1,GPT3,Fewshot,"What is the city block/manhattan distance heuristic?
",The city block/manhattan distance heuristic is a heuristic that uses the manhattan distance between two states to estimate the cost of moving between the states.,1502
23,4582,chapter16_2,midterm_2,T5,Best Condition - with Davinci,How many constraints exist on rational preferences?,six,4582
24,484,chapter16_2,midterm_2,GPT3,GoodSummary,"What is a utility theory?
",A utility theory is a theory that explains how preferences between complex lotteries are related to preferences between the underlying states of those lotteries.,484
25,545,chapter12_6,midterm_2,GPT3,GoodSummary,"What fields is the naive bayes model widely used in?
","The naive bayes model is widely used in language classification, document retrieval, and spam filtering.",545
26,5057,chapter_27,1st midterm,GPT3,From raw text,"What is ai?
",Ai is the study of how to make machines that act intelligently.,5057
27,5549,chapter_2_2_3,1st midterm,T5,From raw text,"What maximizes expected performance, while perfection maximizes actual performance?",Rationality,5549
28,948,slp_chapter5_2,midterm_2,GPT3,BadSummary,"What is the opposite of similarity?

",The opposite of similarity is a metric for how close the current label (yˆ) is to the true gold label y.,948
29,4269,slp_chapter7_7,midterm_2,T5,Fewshot,When is it useful to freeze the embedding layer E with initial word2vec values?,when the task the network is designed for doesn't place strong constraints on what makes a good representation for words,4269
30,6390,chapter_3_3,1st midterm,T5,From GPT-3 generated summary,What is used to find a solution to a problem or to determine that no solution exists?,search algorithms,6390
31,3534,chapter19_5,midterm_2,T5,Zero,Why should one branch out in one direction in order to test the PAC hypothesis?,reduce the number of false positives and false negatives,3534
32,3884,chapter16_2,midterm_1,T5,Fewshot,How many constraints must any preference relation obey?,six,3884
33,2764,chapter2_4,midterm_1,T5,BadSummary,What does the agent need if it wants to walk?,legs,2764
34,4024,chapter22_4,midterm_2,T5,Fewshot,What type of learning makes sense to use an online learning algorithm updating parameters after each trial?,reinforcement learning,4024
35,58,chapter16_1,midterm_2,GPT3,Best Condition - with Davinci,"What is the name for decision making with known outcomes?
",Decision making with known outcomes is also called decision making with known outcomes.,58
36,3465,chapter13_1,midterm_2,T5,Zero,Which node is said to be a parent of Y?,X,3465
37,6443,chapter_3_4_3,1st midterm,T5,From GPT-3 generated summary,What is depth-first search efficient for?,tree-shaped state-spaces,6443
38,1532,chapter16_2,midterm_1,GPT3,Fewshot,"What are the constraints on rational preferences?
","There are constraints on rational preferences. for example, if $a > b$, then the agent prefers a over b. if $a < b$, then the agent prefers b over a. if $a \geq b$, then the agent prefers a but is indifferent to b. any preference relation must obey six constraints: orderability, transitivity, continuity, substitutability, monotonicity, and decomposability.",1532
39,559,SLP_chapter3_3,midterm_2,GPT3,GoodSummary,"How is the likelihood of a sentence calculated?
",The likelihood of a sentence is calculated by taking the joint probability of the sentence and all possible preceding sentences.,559
40,162,chapter13_3,midterm_2,GPT3,Best Condition - with Davinci,"What is the variable elimination algorithm?
",The variable elimination algorithm evaluates expressions in right-to-left order.,162
41,2912,chapter22_2,midterm_2,T5,BadSummary,Passive learning is similar to what?,policy evaluation task,2912
42,1400,slp_chapter9_3,midterm_2,GPT3,Zero,"How do you train a classifier?
","First, treat the target word and a neighboring context word as positive examples. then, randomly sample other words in the lexicon to get negative samples.",1400
43,5126,chapter_2_4,1st midterm,GPT3,From raw text,"What is the agent function?
",The agent function is the mapping from percepts to actions.,5126
44,2330,SLP_chapter3_2,midterm_2,T5,GoodSummary,the lower the perplexity,The higher the 'n' of the n-gram model,2330
45,966,slp_chapter7_5,midterm_2,GPT3,BadSummary,"What is a neural language model?
",A neural language model is a model that uses neural networks to create a language model.,966
46,199,chapter19_6,midterm_2,GPT3,Best Condition - with Davinci,"What is the perceptron learning rule?
",The perceptron learning rule is as follows: if the output is correct (i.e. y = hw(x) ) then the weights are not changed.,199
47,6136,chapter_3,1st midterm,GPT3,From GPT-3 generated summary,"What are the different types of search algorithms?
","The different types of search algorithms include episodic, single agent, fully observable, deterministic, static, discrete, and known environments.",6136
48,4740,SLP_chapter3_4,midterm_2,T5,Best Condition - with Davinci,What does the n-gram model need to do to deal with OOV?,Estimate the probabilities,4740
49,3572,slp_chapter4_8,midterm_2,T5,Zero,What is important when building a machine learning model?,training set and a test set,3572
50,1125,chapter7_2,midterm_1,GPT3,Zero,"What are the actuators in the wumpus world?
","The actuators in the wumpus world are forward, turn left, and turn right.",1125
51,1333,slp_chapter4_10,midterm_2,GPT3,Zero,"What are the negative consequences of representational harms?
","Representational harms can have a number of negative consequences for those who experience them. they can lead to feelings of devaluation, isolation, and powerlessness. they can also make it harder for members of marginalized groups to access the resources they need to thrive.",1333
52,5307,chapter_1_1_4,1st midterm,T5,From raw text,What is the goal of the rational-agent approach to AI?,imitate human behavior or thought processes,5307
53,5442,chapter_27_2_1,1st midterm,T5,From raw text,Who follows the instructions in the rule book?,The human,5442
54,6429,chapter_3_4_1,1st midterm,T5,From GPT-3 generated summary,What is the name of the tree where every state has successors?,a uniform tree,6429
55,5326,chapter_1_1_5,1st midterm,T5,From raw text,What does a strict goal of safety require?,staying in the garage,5326
56,36,chapter7_2,midterm_1,GPT3,Best Condition - with Davinci,"What is the environment of the wumpus world?
","The environment of the wumpus world is deterministic, discrete, static, and single agent.",36
57,1723,chapter19_2,midterm_2,GPT3,Fewshot,"What is the goal of machine learning?
",The goal of machine learning is to give a training set of n example inputs and discover a function that approximates the true function f.,1723
58,2867,chapter7_5,midterm_1,T5,BadSummary,What consists of all the inference rules applied to all the sentences that match the top half of the inference rule?,ACTIONS,2867
59,3592,slp_chapter5_1,midterm_2,T5,Zero,What model attempts to directly compute the probability of each class given a new input observation?,discriminative model,3592
60,727,slp_chapter6_12,midterm_2,GPT3,GoodSummary,"What is the most difficult dataset for extrinsic evaluation? 
",The most difficult dataset for extrinsic evaluation is the simlex-9dataset.,727
61,769,chapter5_2,midterm_1,GPT3,BadSummary,"Can the minmax algorithm be extended to multiplayer games?
","Yes, the minmax algorithm can be extended to multiplayer games by making each node a vector of values.",769
62,230,slp_chapter4_8,midterm_2,GPT3,Best Condition - with Davinci,"What is the training data?
",The training data consists of input-output pairs.,230
63,3950,chapter7_4,midterm_1,T5,Fewshot,The rules are expressed in what that specify the values of complex sentences?,truth tables,3950
64,2691,slp_chapter6_8,midterm_2,T5,GoodSummary,What are the embeddings in Word2vec?,learned weights,2691
65,5596,chapter_2_3_2,1st midterm,T5,From raw text,How do we illustrate the ideas?,analyze several task environments,5596
66,3221,chapter3_5,midterm_1,T5,Zero,Which algorithms use too little memory?,IDA and RBFS,3221
67,4148,chapter19_3,midterm_2,T5,Fewshot,What can be used to figure out when to cut a decision tree?,significance test,4148
68,4211,slp_chapter5_1,midterm_2,T5,Fewshot,What represents how the logistic regression algorithm learns a vector of weights and a bias term?,weight,4211
69,1110,chapter6_4,midterm_1,GPT3,Zero,"What is the disadvantage of local search methods?
","The main disadvantage of local search methods is that they can only find a good solution, but not necessarily a perfect solution.",1110
70,5061,chapter_27,1st midterm,GPT3,From raw text,"How can we ethically develop and apply ai?
",We can ethically develop and apply ai by making sure that ai acts in ways that are fair and beneficial to all.,5061
71,1262,chapter13_3,midterm_2,GPT3,Zero,"What is the space complexity of exact inference in a multiply connected bayes net?
","The space complexity of exact inference in a multiply connected bayes net can have exponential time and space complexity in the worst case, even when the number of parents per node is bounded.",1262
72,5066,chapter_27_1,1st midterm,GPT3,From raw text,"What is the difference between weak ai and strong ai?
","Weak ai is the idea that machines can act as if they were intelligent, while strong ai is the assertion that machines that do so are actually consciously thinking (not just simulating thinking).",5066
73,6387,chapter_3_1_2,1st midterm,T5,From GPT-3 generated summary,What is the process of removing detail from a representation in order to formulate a problem?,abstraction,6387
74,5104,chapter_2,1st midterm,GPT3,From raw text,"What is an intelligent agent?
",An intelligent agent is a system that behaves rationally.,5104
75,6146,chapter_3_1_2,1st midterm,GPT3,From GPT-3 generated summary,"What is a good problem formulation? 
",A good problem formulation is one that has the right level of detail.,6146
76,4907,slp_chapter5_2,midterm_2,T5,Best Condition - with Davinci,What is the opposite of the similarity function?,The loss function,4907
77,5064,chapter_27,1st midterm,GPT3,From raw text,How do philosophers ,The,5064
78,1660,chapter12_3,midterm_2,GPT3,Fewshot,"What is the task of extracting the distribution over some subset of variables or a single variable (marginal probability)?
",The task of extracting the distribution over some subset of variables or a single variable (marginal probability) is the marginalization rule for any sets of variables y and z.,1660
79,4626,chapter22_1,midterm_2,T5,Best Condition - with Davinci,In what type of reinforcement learning is the transition model given?,model-based reinforcement learning,4626
80,1861,slp_chapter6_3,midterm_2,GPT3,Fewshot,"What is the relationship between the rows and the columns of a term-document matrix?
","The rows of a term-document matrix represent words, and the columns represent documents.",1861
81,1743,chapter19_6,midterm_2,GPT3,Fewshot,"What is data that admit such a separator called?
",Data that admit such a separator are called linearly separable.,1743
82,5714,chapter_2_4_5,1st midterm,T5,From raw text,What should a more general performance measure allow a comparison of different world states according to?,how happy they would make the agent,5714
83,963,slp_chapter7_4,midterm_2,GPT3,BadSummary,"What are some of the drawbacks of using pretrained embedding representations?
",One drawback of using pretrained embedding representations is that it is more likely to overfit the model. another drawback is that it is more likely to underfit the model.,963
84,6058,chapter_27_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is the chinese room argument?
",The chinese room argument is an argument put forth by philosopher john searle that rejects the idea that computers generate understanding.,6058
85,921,slp_chapter4_6,midterm_2,GPT3,BadSummary,"What is a naive bayes classifier?
",A naive bayes classifier is a classifier that uses any sort of feature.,921
86,6264,chapter_27_2_1,1st midterm,T5,From GPT-3 generated summary,What is the result of the rule book and stacks of paper not understanding Chinese?,no understanding,6264
87,1951,chapter3_1,midterm_1,T5,GoodSummary,What is not monitored in most search problems that we will look at because they are informed and fully observable?,Precepts,1951
88,4978,slp_chapter7_5,midterm_2,T5,Best Condition - with Davinci,What did we form by concatenating the three embeddings?,embedding layer e,4978
89,3067,slp_chapter9_1,midterm_2,T5,BadSummary,What do neural LMs tend to have more of than n-gram LMs?,higher predictive accuracy,3067
90,3194,chapter3_3,midterm_1,T5,Zero,What does the frontier separate an interior region from an exterior region?,expanded,3194
91,2788,chapter2_4,midterm_1,T5,BadSummary,What makes improvements * performance element selects actions * critic determines the performance element?,Learning agents,2788
92,1568,chapter7_1,midterm_1,GPT3,Fewshot,"What is the initial background knowledge of the environment?
",The initial background knowledge of the environment is the knowledge base.,1568
93,4321,slp_chapter6_11,midterm_2,T5,Fewshot,What do embeddings encode that are a property of human reasoning?,implicit associations,4321
94,6089,chapter_2_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What is a built-in knowledge?
",A built-in knowledge is knowledge that is already built into the agent at the start of the planning phase.,6089
95,3244,chapter5_3,midterm_1,T5,Zero,What is the evaulation function for the min max value?,an herustic,3244
96,4596,chapter17_2,midterm_2,T5,Best Condition - with Davinci,What is defined as the difference between the actual utility and the optimal utility?,the error,4596
97,1493,chapter3_4,midterm_1,GPT3,Fewshot,"What is dfs?
",Dfs is a search algorithm that uses early goal testing.,1493
98,2424,chapter19_3,midterm_2,T5,GoodSummary,What can be used to find the smallest decision tree?,heuristics,2424
99,218,slp_chapter4_5,midterm_2,GPT3,Best Condition - with Davinci,"What is a good metric when class is imbalanced?
",A good metric when class is imbalanced is recall.,218
100,3786,chapter2_4,midterm_1,T5,Fewshot,How many types of agent programs are there?,four,3786
101,3024,slp_chapter5_1,midterm_2,T5,BadSummary,What is sigmod?,objective function for learning,3024
102,121,chapter12_6,midterm_2,GPT3,Best Condition - with Davinci,"What is a common pattern in which a single cause directly influences a number of effects, all of which are conditionally independent, given the cause?
",A chain of direct cause-effect relationships.,121
103,6069,chapter_2,1st midterm,GPT3,From GPT-3 generated summary,"What is a perfect agent?
",A perfect agent is an agent that behaves optimally in every environment and cannot be defeated.,6069
104,5362,chapter_27_1,1st midterm,T5,From raw text,What does the rapid progress of recent years not do?,prove that there can be no limits to what AI can achieve,5362
105,6257,chapter_27_2_1,1st midterm,T5,From GPT-3 generated summary,What language does a human understand?,English,6257
106,2596,slp_chapter5_4,midterm_2,T5,GoodSummary,Stochastic gradient descent is called what because it chooses one example randomly at a time?,stochastic,2596
107,2540,slp_chapter4_10,midterm_2,T5,GoodSummary,"What can be used to document information like algorithms/parameters, preprocessing, intended use, performance across different demographics?",a model card,2540
108,1171,chapter17_3,midterm_2,GPT3,Zero,"What is the formal definition of the n-armed bandit problem?
",The n-armed bandit problem is a formal model for deciding which of n possible choices to make.,1171
109,3103,slp_chapter6_8,midterm_2,T5,BadSummary,What do the learned weights serve as?,embeddings,3103
110,1208,chapter12_5,midterm_2,GPT3,Zero,"What is bayes' rule?
","Bayes' rule is a formula for calculating the probability of a hypothesis, given evidence.",1208
111,645,slp_chapter5_1,midterm_2,GPT3,GoodSummary,"What is the advantage of logistic regression over naive bayes?
",The advantage of logistic regression over naive bayes is that logistic regression is better for larger data sets.,645
112,5163,chapter_3_1_1,1st midterm,GPT3,From raw text,"What is the transition model in a search problem?
",The transition model in a search problem is the model that describes what each action does.,5163
113,3471,chapter13_2,midterm_2,T5,Zero,How many variables does a Bayes net contain?,n variables,3471
114,6049,chapter_27_1_3,1st midterm,GPT3,From GPT-3 generated summary,"What is the second false assumption made in the claim that machines are mentally inferior to humans?
",The second false assumption made in the claim that machines are mentally inferior to humans is that gödel's incompleteness theorem applies to computers.,6049
115,5814,chapter_3_1,1st midterm,T5,From raw text,"If the model is incorrect, or the environment is nondeterministic, the agent would be safer using what approach that monitors the percepts?",closed-loop,5814
116,809,chapter7_2,midterm_1,GPT3,BadSummary,"What are the actuators?
","The actuators are forward, turn left, turn right.",809
117,1581,chapter7_3,midterm_1,GPT3,Fewshot,"What is a sound inference procedure?
","A sound inference procedure is a procedure that, when given a set of sentences as input, always produces a sentence that is true in all models.",1581
118,3282,chapter6_1,midterm_1,T5,Zero,"If the domain of the first variable is ever emptied, the function returns what?",true,3282
119,2684,slp_chapter6_8,midterm_2,T5,GoodSummary,What is one of two algorithms in word2vec - static embeddings?,SGNS,2684
120,6053,chapter_27_1_4,1st midterm,GPT3,From GPT-3 generated summary,"What is required for a program to pass the test?
","A program must have a conversation (via typed messages) with an interrogator for five minutes, after which the interrogator must guess if the conversation was with a program or a person.",6053
121,276,slp_chapter7_1,midterm_2,GPT3,Best Condition - with Davinci,"What are the several activation functions?
",The several activation,276
122,734,chapter2_1,midterm_1,GPT3,BadSummary,,"1:
",734
123,1284,chapter19_5,midterm_2,GPT3,Zero,"What is the purpose of applying pac learning to new decision spaces?
",The purpose of applying pac learning to new decision spaces is to reduce the number of false positives and false negatives.,1284
124,6173,chapter_3_4,1st midterm,GPT3,From GPT-3 generated summary,"What is an uninformed search algorithm?
",An uninformed search algorithm is given no clue about how close a state is to the goal(s).,6173
125,489,chapter16_3,midterm_2,GPT3,GoodSummary,"Utility is not proportional to monetary value.
",Utility is not proportional to monetary value.,489
126,687,slp_chapter7_7,midterm_2,GPT3,GoodSummary,"What is the purpose of the neural language model?
",The purpose of the neural language model is to train a model that predicts the next word given a current word.,687
127,5512,chapter_2_2,1st midterm,T5,From raw text,"If the sequence is desirable, the agent has what?",performed well,5512
128,4645,chapter22_3,midterm_2,T5,Best Condition - with Davinci,What are the three mathematical approaches to safe exploration?,"Bayesian reinforcement learning, robust control theory, and temporal-difference Q-learning",4645
129,6272,chapter_2,1st midterm,T5,From GPT-3 generated summary,What is discussed in this chapter?,the diversity of environments,6272
130,2319,SLP_chapter3_1,midterm_2,T5,GoodSummary,What model assigns probabilities to sequences of words?,N-gram model,2319
131,5174,chapter_3_3_1,1st midterm,GPT3,From raw text,"What is the general approach called?
",The general approach is called best-first search.,5174
132,2901,chapter17_1,midterm_2,T5,BadSummary,"What is the sequential decision problem for a fully observable, stochastic environment with a Markovian transition model and additive rewards?",Markos Decision Process,2901
133,6456,chapter_3_4_6,1st midterm,T5,From GPT-3 generated summary,How are all three algorithms guaranteed to find a goal state?,if one exists in the state space,6456
134,288,slp_chapter7_5,midterm_2,GPT3,Best Condition - with Davinci,"What is a neural language model?
",A neural language model is a model that uses a neural network to predict the next words in a sequence.,288
135,3119,slp_chapter6_12,midterm_2,T5,BadSummary,What is another task used for evaluation?,the analogy task,3119
136,2056,chapter6_2,midterm_1,T5,GoodSummary,What will the CSP be if there is no consistent CSP?,faster,2056
137,370,chapter2_2,midterm_1,GPT3,GoodSummary,"What is rationality?
","Rationality depends on performance measure, agent's prior knowledge \
of the environment, actions, and the percent sequence so far.",370
138,339,slp_chapter6_10,midterm_2,GPT3,Best Condition - with Davinci,"What is the word2vec skip-gram model?
",The word2vec skip-gram model is a neural network that takes as input a context window of size 2 and an input word and outputs the probability of the input word appearing in the context window.,339
139,5056,chapter_1_1_4,1st midterm,GPT3,From raw text,"What is the standard model of ai?
",The standard model of ai is the study and construction of agents that do the right thing.,5056
