,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,847,chapter12_3,midterm_2,GPT3,BadSummary,"P(x|e) = α ∑_y p(x,e,y)
",P(x|e) = α ∑_y p,847
1,6370,chapter_2_4_6,1st midterm,T5,From GPT-3 generated summary,What is the unifying theme of learning in intelligent agents?,single,6370
2,3775,chapter2_3,midterm_1,T5,Fewshot,What type of environment is one in which the next state after the agent makes an action is not known?,nondeterministic,3775
3,5198,chapter_3_3_4,1st midterm,GPT3,From raw text,"
",To,5198
4,923,slp_chapter4_6,midterm_2,GPT3,BadSummary,"How is naive bayes similar to language modeling?
",Naive bayes is similar to language modeling in that it only uses individual word features.,923
5,901,chapter19_6,midterm_2,GPT3,BadSummary,"Summary
- linear separator
- perceptron learning rule
- linear separability

questions what is a perceptron learning rule?
",A perceptron learning rule is a rule that determines how to change the weights in a perceptron so that the perceptron can learn to better classify,901
6,5619,chapter_2_3_2,1st midterm,T5,From raw text,The vacuum world as we described it is what?,deterministic,5619
7,3550,slp_chapter4_4,midterm_2,T5,Zero,What instantiates a unigram language model?,A model for each class,3550
8,5227,chapter_3_4_5,1st midterm,GPT3,From raw text,"How does bidirectional search differ from iterative deepening search?
","Unlike iterative deepening search, bidirectional search does not necessarily expand the optimal path from the initial state.",5227
9,1352,slp_chapter5_5,midterm_2,GPT3,Zero,"What are the most common types of regularization?
",The most common types of regularization are l2 and l1 regularization.,1352
10,6449,chapter_3_4_4,1st midterm,T5,From GPT-3 generated summary,What type of search starts with a depth limit of 0 and gradually increases the limit until a solution is found?,iterative deepening search,6449
11,6346,chapter_2_4_3,1st midterm,T5,From GPT-3 generated summary,What is an agent that uses a transition model and a sensor model to keep track of the state of the world?,model-based reflex agent,6346
12,1515,chapter5_2,midterm_1,GPT3,Fewshot,"What can the minmax algorithm be extended to?
",The minmax algorithm can be extended to multiplayer games by making each node a vector of values.,1515
13,876,chapter19_2,midterm_2,GPT3,BadSummary,"What is a training set?
",A training set is a set of example inputs used to train a function.,876
14,5157,chapter_3_1,1st midterm,GPT3,From raw text,"What is an open-loop system?
",An open-loop system is a system where the agent ignores its percepts while executing the actions in the solution.,5157
15,1615,chapter16_3,midterm_2,GPT3,Fewshot,"What is the difference between expected utility and risk averse utility assessment?
",Expected utility is the expected payoff of a decision. risk averse utility assessment means that the agent wants a guaranteed payoff that is lower than the expected outcome.,1615
16,3304,chapter6_3,midterm_1,T5,Zero,What is a type of inference?,Forward checking,3304
17,338,slp_chapter6_10,midterm_2,GPT3,Best Condition - with Davinci,"What is the inverse document frequency, or idf?
","The inverse document frequency, or idf, is defined as $n / df_t$, where $n$ is the total number of documents and $df_t$ is the total number of documents that word $t$ appears in.",338
18,1386,slp_chapter7_6,midterm_2,GPT3,Zero,"What is regularization?
",Regularization is a method for constraining the size of the network in order to prevent overfitting.,1386
19,4113,chapter13_3,midterm_2,T5,Fewshot,The time and space complexity of exact inference in polytrees is what in the size of the network?,linear,4113
20,4481,chapter5_5,midterm_1,T5,Best Condition - with Davinci,What do not remain consistent if values are scaled?,Evaluation functions,4481
21,4745,SLP_chapter3_5,midterm_2,T5,Best Condition - with Davinci,Laplace smoothing doesn't perform well enough to be used in what?,model n-gram models,4745
22,244,slp_chapter5_1,midterm_2,GPT3,Best Condition - with Davinci,"What is a generative model?
",A generative model is a model that can be used to understand what dogs look like and what cats look like.,244
23,6158,chapter_3_3_1,1st midterm,GPT3,From GPT-3 generated summary,"What is the second step of best-first search?
",The second step of best-first search is to generate child nodes and add them to the frontier.,6158
24,6373,chapter_2_4_7,1st midterm,T5,From GPT-3 generated summary,"From factored to structured, what is the axis of complexity and expressive power?",atomic,6373
25,865,SLP_chapter3_7,midterm_2,GPT3,BadSummary,"What does a stupid backoff give up in order to make a language model a true probability distribution?
",6,865
26,4225,slp_chapter5_5,midterm_2,T5,Fewshot,What is L2 regularization?,quadratic function of the weight values,4225
27,5530,chapter_2_2,1st midterm,T5,From raw text,What type of poverty does everyone in the economy live in?,moderate poverty,5530
28,2534,slp_chapter4_9,midterm_2,T5,GoodSummary,What is a benefit of bootstrap testing?,create many virtual test sets,2534
29,2792,chapter3_1,midterm_1,T5,BadSummary,What is a search to reach a goal?,simulating sequences of actions,2792
30,2828,chapter5_5,midterm_1,T5,BadSummary,What does a game tree in a stochastic game include in addition to Max and MIn nodes?,chance nodes,2828
31,4695,chapter12_6,midterm_2,T5,Best Condition - with Davinci,What is the probability distribution called?,naive Bayes model,4695
32,2087,chapter6_5,midterm_1,T5,GoodSummary,Doesn't need what?,backtracking,2087
33,6123,chapter_2_4_5,1st midterm,GPT3,From GPT-3 generated summary,,"
",6123
34,1518,chapter5_3,midterm_1,GPT3,Fewshot,"What is the value of the lowest value choice we have found so far at any action point for max?
",The value of the lowest value choice we have found so far at any action point for max is beta.,1518
35,1882,slp_chapter6_11,midterm_2,GPT3,Fewshot,"What is debias?
",Debias is the process of reducing bias in embeddings.,1882
36,5312,chapter_1_1_4,1st midterm,T5,From raw text,What is defined by the objective that we provide to the agent?,right,5312
37,2916,chapter22_3,midterm_2,T5,BadSummary,"What is the acronym for state, action, reward, state, action?",SARSA,2916
38,5961,chapter_3_4_3,1st midterm,T5,From raw text,What would anyone consider instead of breadth-first or best-first?,depth-first search,5961
39,26,chapter6_5,midterm_1,GPT3,Best Condition - with Davinci,"What is cutset conditioning?
",Cutset conditioning is a way of removing and assigning a set s such that the remaining tree has the same probability as the original tree.,26
40,2893,chapter16_2,midterm_2,T5,BadSummary,What is it called when two lotteries have the same two possible outcomes?,MONOTONICITY,2893
41,37,chapter7_2,midterm_1,GPT3,Best Condition - with Davinci,"What is the wumpus world similar to?
",The wumpus world is similar to the r2d2 problem.,37
42,1500,chapter3_6,midterm_1,GPT3,Fewshot,"What is a heuristic?
",A heuristic is a strategy used to solve a problem.,1500
43,1576,chapter7_2,midterm_1,GPT3,Fewshot,"What is the wumpus world deterministic, discrete, static, and single agent?
","The wumpus world is deterministic, discrete, static, and single agent.",1576
44,4352,chapter27_1,midterm_1,T5,Best Condition - with Davinci,The embodied cognition approach makes the claim that it makes no sense to consider what separately from the body?,the brain,4352
45,4365,chapter2_1,midterm_1,T5,Best Condition - with Davinci,How many kinds of percepts does a vacuum cleaner agent have?,three,4365
46,933,slp_chapter4_8,midterm_2,GPT3,BadSummary,"What is the difference between feedforward and recurrent neural networks?
","The main difference between feedforward and recurrent neural networks is that feedforward neural networks do not use feedback from previous layers, whereas recurrent neural networks do.",933
47,4852,chapter19_6,midterm_2,T5,Best Condition - with Davinci,What do we want to make smaller so that hw(x) outputs a 0.,w*x,4852
48,3494,chapter19_2,midterm_2,T5,Zero,What can we perform if we don't have prior knowledge about the process that generated the data?,exploratory data analysis,3494
49,6069,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
50,3760,chapter2_2,midterm_1,T5,Fewshot,The performance measure is in the mind of who?,the designer of the machine,3760
51,478,chapter16_1,midterm_2,GPT3,GoodSummary,"What is the meu principle?
","The meu principle formalizes that an agent should do the right thing, but doesn't operationalize the advice.",478
52,1297,slp_chapter4_2,midterm_2,GPT3,Zero,"What is a parametric model?
",A parametric model is a model that has a fixed size on the number of parameters.,1297
53,6247,chapter_27_1_4,1st midterm,T5,From GPT-3 generated summary,What is the purpose of the Turing test?,to measure intelligence,6247
54,3218,chapter3_5,midterm_1,T5,Zero,What limits the size of the frontier by keeping only k-nodes with the best f-scores?,Beam search,3218
55,3011,slp_chapter4_9,midterm_2,T5,BadSummary,"What does the null hypothesis suppose that?? (x) is actually negative or zero, meaning that A is not better than B?",H1,3011
56,2977,chapter13_1,midterm_2,T5,BadSummary,What does each node Xi have?,associated probability information,2977
57,2182,chapter17_1,midterm_2,T5,GoodSummary,"If you prefer one future to another, then you should still prefer that future if it were starting today.",starting tomorrow,2182
58,3702,slp_chapter6_10,midterm_2,T5,Zero,What model predicts the likelihood of a word appearing near another word?,word2vec,3702
59,5092,chapter_27_2,1st midterm,GPT3,From raw text,"What is the difference between a simulation of thinking and actual thinking?
","A simulation of thinking is a program that acts like a human, whereas actual thinking is the process of a human using his or her brain.",5092
60,723,slp_chapter6_12,midterm_2,GPT3,GoodSummary,"What is the most important metric for intrinsic evaluation? 
",The most important metric for intrinsic evaluation is performance on a gold-standard.,723
61,6040,chapter_27_1_1,1st midterm,GPT3,From GPT-3 generated summary,"What is the simplest logical agent design?
",The simplest logical agent design is the one described in chapter and it is indeed difficult to capture every contingency of appropriate behavior in a set of necessary and sufficient logical rules; we called that the qualification problem.,6040
62,2877,chapter7_5,midterm_1,T5,BadSummary,What is another term for removing multiple copies of literals?,Factoring,2877
63,5948,chapter_3_4_2,1st midterm,T5,From raw text,What is the term for best-first search where the evaluation function is the cost of the path from the root to the current node?,Dijkstra’s algorithm,5948
64,827,chapter17_2,midterm_2,GPT3,BadSummary,"What is the equation for policy iteration?
",The equation for policy iteration is,827
65,6061,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
66,2306,chapter12_5,midterm_2,T5,GoodSummary,What allows probabilistic systems to scale up?,conditional independence assertions,2306
67,6358,chapter_2_4_6,1st midterm,T5,From GPT-3 generated summary,What can be constructed to improve every part of the agent?,learning mechanisms,6358
68,4445,chapter3_5,midterm_1,T5,Best Condition - with Davinci,Greedy best-first search expands the first node with the lowest h(n) but is what in a finite environment,not complete,4445
69,890,chapter19_3,midterm_2,GPT3,BadSummary,"7.what is the importance measured by?
",7.,890
70,4173,slp_chapter4_5,midterm_2,T5,Fewshot,What is not a good metric when you want to discover something rare?,Accuracy,4173
71,132,SLP_chapter3_1,midterm_2,GPT3,Best Condition - with Davinci,"How do we compute the joint probability of a sequence of events?
",We can compute the joint probability of a sequence of events by treating them as if they were independent. this is known as the independence assumption.,132
72,503,chapter22_1,midterm_2,GPT3,GoodSummary,"What is model-based reinforcement learning?
",Model-based reinforcement learning is when a transition model is used to interpret and make decisions.,503
73,408,chapter5_2,midterm_1,GPT3,GoodSummary,"What is the space complexity of minimax search?
",The space complexity of minimax search is o(bm).,408
74,1186,chapter22_3,midterm_2,GPT3,Zero,"What does the agent decide on in each step by one-step look-ahead to maximize expected utility?
",The agent decides on an action in each step by one-step look-ahead to maximize expected utility.,1186
75,1189,chapter22_4,midterm_2,GPT3,Zero,"What is an evaluation function?

",An evaluation function is a compact measure of desirability for potentially vast state spaces.,1189
76,1699,SLP_chapter3_7,midterm_2,GPT3,Fewshot,"What is the size of a language model reduced by pruning?
",The size of a language model is reduced by pruning by removing higher-order n-grams that have a zero count.,1699
77,5417,chapter_27_1_4,1st midterm,T5,From raw text,Many people have been what when they didn't know they might be chatting with a computer?,fooled,5417
78,435,chapter16_3,midterm_1,GPT3,GoodSummary,"What is decision theory normative?
","Decision theory is normative, which means how an agent should act.",435
79,4001,chapter22_1,midterm_2,T5,Fewshot,What is defined in terms of the sum of rewards from a given state onward?,utility function,4001
80,3930,chapter7_1,midterm_1,T5,Fewshot,What does a knowledge base first have?,background knowledge of the environment,3930
81,1092,chapter6_1,midterm_1,GPT3,Zero,"What is constraint propagation?
","Constraint propagation is a specific type of inference, whose main idea is using the constraints to reduce the number of legal values for a variable, which in turn can reduce the legal values for another variable, and so on.",1092
82,370,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
83,6313,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,Does our definition of rationality say that it’s now OK to cross the road?,Far from it,6313
84,5204,chapter_3_3_4,1st midterm,GPT3,From raw text,"1
",To,5204
85,3422,chapter12_7,midterm_2,T5,Zero,What world is a world where agents can only get partial information about the world around them?,Wumpus,3422
86,404,chapter5_1,midterm_1,GPT3,GoodSummary,"What are the two types of reasoning in a two player game?
",There are two types of reasoning in a two player game.,404
87,1165,chapter17_1,midterm_2,GPT3,Zero,"What are sequential decision problems?
",Sequential decision problems are decision problems in which the agent's utility depends on a sequence of decisions.,1165
88,1837,slp_chapter7_6,midterm_2,GPT3,Fewshot,"What is a neural net?
","A neural net is a model that is composed of many layers of neurons, which are connected to",1837
89,3229,chapter3_6,midterm_1,T5,Zero,What means that the heuristic always underestimates the cost of reaching the goal?,Consistent,3229
90,6107,chapter_2_4,1st midterm,GPT3,From GPT-3 generated summary,"What is a percept?
",A percept is an agent's representation of its environment.,6107
91,3266,chapter16_3,midterm_1,T5,Zero,What is the agent asked to do to find the expected utility?,adjust the scale,3266
92,753,chapter3_4,midterm_1,GPT3,BadSummary,"What is ucs?
",Ucs is a search algorithm that uses a priority queue.,753
93,6105,chapter_2_4,1st midterm,GPT3,From GPT-3 generated summary,"What is an agent program?
",An agent program is a program that takes in percepts from sensors and outputs actions to actuators.,6105
94,5399,chapter_27_1_3,1st midterm,T5,From raw text,Gödel’s incompleteness theorem and related results apply to what?,mathematics,5399
95,6079,chapter_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is an agent function?
",An agent function is a mathematical description of an agent's behavior.,6079
96,5881,chapter_3_3_3,1st midterm,T5,From raw text,How many squares can an agent move to in a grid world?,8 adjacent squares,5881
97,4237,slp_chapter7_1,midterm_2,T5,Fewshot,What do neural networks take as inputs?,raw words,4237
98,5213,chapter_3_3_4,1st midterm,GPT3,From raw text,"2
",,5213
99,6283,chapter_2_2,1st midterm,T5,From GPT-3 generated summary,What causes the environment to go through a sequence of states?,percepts it receives,6283
100,6183,chapter_3_4_2,1st midterm,GPT3,From GPT-3 generated summary,"What is dijkstra's algorithm?
",Dijkstra's algorithm is a pathfinding algorithm that is used to find the shortest path between two nodes.,6183
101,2436,chapter19_3,midterm_2,T5,GoodSummary,What type of output does a regression tree need?,continous,2436
102,5150,chapter_3,1st midterm,GPT3,From raw text,"What is the difference between informed search and uninformed search?
","Informed search is when the agent can estimate how far it is from the goal, and uninformed search is when no such estimate is available.",5150
103,4411,chapter3_1,midterm_1,T5,Best Condition - with Davinci,What approach is needed if the model is incorrect or the environment is nondeterministic?,closed-loop,4411
104,5,chapter16_3,midterm_1,GPT3,Best Condition - with Davinci,"What is a micromort?

",A micromort is one in a million chance of death.,5
105,1357,slp_chapter5_6,midterm_2,GPT3,Zero,"What is multinomial logistic regression?

",Multinomial logistic regression is a generalization of logistic regression to multiple classes.,1357
106,10,chapter6_2,midterm_1,GPT3,Best Condition - with Davinci,"What is ac-3?

",Ac-3 is an algorithm that converts a csp into an equivalent csp with a smaller domain size.,10
107,4816,chapter19_4,midterm_2,T5,Best Condition - with Davinci,What is the assumption that each example has the same prior probability distribution and is independent of previous examples called?,independent and identically distributed,4816
108,1288,chapter19_6,midterm_2,GPT3,Zero,"What is the perceptron learning rule?
",The perceptron learning rule is a method for training a perceptron to learn to classify data.,1288
109,5199,chapter_3_3_4,1st midterm,GPT3,From raw text,"1
",To,5199
110,594,chapter19_4,midterm_2,GPT3,GoodSummary,"What is feature selection used for?
",Feature selection is used for discarding attributes.,594
111,6264,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
112,2542,slp_chapter5_1,midterm_2,T5,GoodSummary,"Logistic regression is what both for classifiers, and for neural networks?",baseline algorithm,2542
113,3154,chapter2_1,midterm_1,T5,Zero,What is the best way to fill out the table?,make the agent pick up dirt in every square it is in,3154
114,4925,slp_chapter5_5,midterm_2,T5,Best Condition - with Davinci,What is an example of L2 regularization?,Ridge regression,4925
115,6308,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,What do we need to improve performance of?,crystal balls or time machines,6308
116,5160,chapter_3_1_1,1st midterm,GPT3,From raw text,"What is the initial state in a search problem?
",The initial state in a search problem is the state in which the agent starts.,5160
117,6052,chapter_27_1_4,1st midterm,GPT3,From GPT-3 generated summary,"What is the purpose of the turing test?
","The purpose of the turing test, as suggested by alan turing, is to measure intelligence by performance on some kind of open-ended behavioral task, rather than by philosophical speculation.",6052
118,2372,chapter13_2,midterm_2,T5,GoodSummary,What do bad Bayesian networks fail to take into account?,conditional independence relationships,2372
119,3108,slp_chapter6_11,midterm_2,T5,BadSummary,What is a system alloharm that cates resources (jobs or credit) unfairly to different groups?,allocational harm,3108
120,3430,SLP_chapter3_1,midterm_2,T5,Zero,What can be used to compute the joint probability of a sequence of words?,The chain rule,3430
121,5177,chapter_3_3_1,1st midterm,GPT3,From raw text,"What does best-first search do with each child node?
","With each child node, best-first search adds it to the frontier if it has not been reached before, or re-adds it if it is now being reached with a path that has a lower path cost than any previous path.",5177
122,181,chapter19_3,midterm_2,GPT3,Best Condition - with Davinci,"What is a decision tree?
",A decision tree is a representation of a function that maps a vector of attributes values to a single output value.,181
123,1112,chapter6_5,midterm_1,GPT3,Zero,"What is cutset conditioning and how can it be used to solve the problem in o(nd^c (n-c)d^time?
","Cutset conditioning is the process of removing and assigning a cycle cutset, such that the remaining tree can be solved in o(nd^c (n-c)d^time.",1112
124,302,slp_chapter9_2,midterm_2,GPT3,Best Condition - with Davinci,"What is the joint probability function of a word sequence in terms of the word vectors for the words in that sequence?
",The joint probability function of a word sequence in terms of the word vectors for the words in that sequence can then be expressed.,302
125,2738,chapter2_3,midterm_1,T5,BadSummary,What could still be achievable in an unobservable env?,Goals,2738
126,3111,slp_chapter6_11,midterm_2,T5,BadSummary,What do embeddings encode that are a property of human reasoning?,implicit associations,3111
127,717,slp_chapter6_10,midterm_2,GPT3,GoodSummary,"What is the parallel model?

",The parallel model adds vectors to ,717
128,5969,chapter_3_4_3,1st midterm,T5,From raw text,What chapter describes backtracking search?,Chapter 6,5969
129,491,chapter17_1,midterm_2,GPT3,GoodSummary,"What is a sequential decision problem?
",A sequential decision problem is a problem in which utility function depends on the environment history rather than a single state.,491
130,5723,chapter_2_4_5,1st midterm,T5,From raw text,"Partial observability and nondeterminism are ubiquitous in the real world, and so is decision making under what?",uncertainty,5723
131,875,chapter19_1,midterm_2,GPT3,BadSummary,"What is the problem generator/critic?
","The problem generator/critic is a component that generates a problem by taking the current state and using it to generate a new state, or by taking a current",875
132,2393,chapter13_3,midterm_2,T5,GoodSummary,Intractable to determine what?,optimal ordering,2393
133,1551,chapter6_2,midterm_1,GPT3,Fewshot,"What is the complexity of ac-3?
",The complexity of ac-3 is $o(n \cdot d \cdot c)$.,1551
134,4183,slp_chapter4_7,midterm_2,T5,Fewshot,How can we build a confusion matrix for visualizing how an algorithm performs with respect to human gold labels?,system output and gold labels,4183
135,65,chapter16_2,midterm_2,GPT3,Best Condition - with Davinci,"What is decomposability?
",Decomposability is the constraint on rational preferences that requires that preferences be decomposable.,65
136,1591,chapter7_5,midterm_1,GPT3,Fewshot,"
","
",1591
137,2213,chapter17_3,midterm_2,T5,GoodSummary,What is the best option for a Bernoulli bandit problem?,arm with highest upper bound of confidence,2213
138,2098,chapter6_5,midterm_1,T5,GoodSummary,How can we reduce the search space?,symmetry-breaking constraints,2098
139,3821,chapter3_3,midterm_1,T5,Fewshot,What is checked if the parent node is followed all the way?,all redundant paths,3821
