,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,6074,chapter_2,1st midterm,GPT3,From GPT-3 generated summary,"What are some environments more difficult than others?
",Some environments are more difficult than others.,6074
1,6020,chapter_1_1_3,1st midterm,GPT3,From GPT-3 generated summary,"What is the study of this kind of thinking called?
",The study of this kind of thinking is called logic.,6020
2,3950,chapter7_4,midterm_1,T5,Fewshot,The rules are expressed in what that specify the values of complex sentences?,truth tables,3950
3,3325,chapter7_4,midterm_1,T5,Zero,The semantics of propositional logic must allow you to do what?,compute the truth value of any sentence in a model recursively,3325
4,182,chapter19_3,midterm_2,GPT3,Best Condition - with Davinci,"What is the downside of decision trees?
","The downside of decision trees is that they can be nondeterministic, which means that they can generate error or noise in the data if there is no way to tell which action will be taken at the next step.",182
5,1707,chapter13_2,midterm_2,GPT3,Fewshot,"What is the semantics of a bayes net?
",The semantics of a bayes net defines how the syntax corresponds to a joint distribution over the variables of the network.,1707
6,142,SLP_chapter3_3,midterm_2,GPT3,Best Condition - with Davinci,"What is the advantage of sampling from a language model versus sampling from a distribution?
", the advantage of sampling from a language model versus sampling from a distribution is that it is likely to generate sentences the model thinks have high probability over ones with low probability.,142
7,5768,chapter_2_4_6,1st midterm,T5,From raw text,What does the performance standard distinguish part of the incoming percept as?,reward,5768
8,1536,chapter16_2,midterm_1,GPT3,Fewshot,"What is substitutability?
",Substitutability is the constraint on rational preferences that states that if,1536
9,5988,chapter_3_4_4,1st midterm,T5,From raw text,What is optimal for problems where all actions have the same cost?,iterative deepening,5988
10,772,chapter5_3,midterm_1,GPT3,BadSummary,"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 b.,772
11,1685,SLP_chapter3_3,midterm_2,GPT3,Fewshot,"What is sampling from a language model?
","Sampling from a language model generates sentences, choosing each sentence according to likelihood as defined by the model. this is likely to generate sentences the model thinks has high probability over ones with low probability.",1685
12,5214,chapter_3_3_4,1st midterm,GPT3,From raw text,"2
",,5214
13,1333,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
14,5199,chapter_3_3_4,1st midterm,GPT3,From raw text,"1
",To,5199
15,1206,chapter12_4,midterm_2,GPT3,Zero,"What is the relationship between separation and complexity?
",Separation can help reduce the size of the domain representation and complexity of the inference problem.,1206
16,3782,chapter2_4,midterm_1,T5,Fewshot,The architecture makes the percepts from what available to the program?,sensors,3782
17,4335,slp_chapter6_12,midterm_2,T5,Fewshot,What is best practice when embeddings are used to study word associations in particular corpora?,bootstrap sampling,4335
18,4347,chapter1_1,midterm_1,T5,Best Condition - with Davinci,What is the rational approach called?,engineering,4347
19,5612,chapter_2_3_2,1st midterm,T5,From raw text,In what environment are agent-design problems often quite different from those in single-agent environments?,multiagent environments,5612
20,3335,chapter7_5,midterm_1,T5,Zero,What is a process that gives a resolvent?,Resolution,3335
21,301,slp_chapter9_2,midterm_2,GPT3,Best Condition - with Davinci,"What is the mapping done by nlmms?
","The mapping is done by associating each word in the vocabulary with a vector-representation, thereby creating a notion of similarity between words.",301
22,2403,chapter13_3,midterm_2,T5,GoodSummary,Bayes net inference can be reduced to what?,satisfibility,2403
23,1486,chapter3_2,midterm_1,GPT3,Fewshot,"What is the criterion for a depth-first search?

","The criterion for a depth-first search is that it is not complete.

",1486
24,3871,chapter5_5,midterm_1,T5,Fewshot,What time of expectimax is O(b?? m * n?? m)?,n,3871
25,5586,chapter_2_3,1st midterm,T5,From raw text,"What are essentially the ""problems"" to which rational agents are the ""solutions""?",task environments,5586
26,2988,chapter19_4,midterm_2,T5,BadSummary,What can reduce the number of dimensions that model works with?,feature selection,2988
27,6039,chapter_27_1_1,1st midterm,GPT3,From GPT-3 generated summary,"Who championed this view?
",Hubert dreyfus championed this view.,6039
28,5915,chapter_3_3_4,1st midterm,T5,From raw text,"To be complete, a search algorithm must be what in the way it explores an infinite state space?",systematic,5915
29,991,slp_chapter6_4,midterm_2,GPT3,BadSummary,"What is the dot product of the two vectors, ""a"" and ""b"", equal to?
","The dot product of the two vectors, ""a"" and ""b"", is equal to ""a"" · ""b"".",991
30,417,chapter5_5,midterm_1,GPT3,GoodSummary,"What are the two types of game trees for stochastic games?
",The two types of game trees for stochastic games are min-max and chance.,417
31,1646,chapter12_1,midterm_2,GPT3,Fewshot,"How do problem-solving and logical agents handle uncertaintly?
",Problem-solving and logical agents handle uncertaintly by keeping track of a belief state and generating a contingency plan handling every possible eventuality it may observe during execution.,1646
32,6157,chapter_3_3_1,1st midterm,GPT3,From GPT-3 generated summary,"What is the first step of best-first search?
",The first step of best-first search is to choose a node on the frontier with the minimum value and expand it.,6157
33,1335,slp_chapter5_1,midterm_2,GPT3,Zero,"What is a generative model?
",A generative model is one that can generate new examples from a given set of training data.,1335
34,4878,slp_chapter4_7,midterm_2,T5,Best Condition - with Davinci,What measures the percentage of items actually present that were correctly identified by the system?,Recall,4878
35,5351,chapter_27,1st midterm,T5,From raw text,Is it possible for machines to act the way that people do?,intelligent,5351
36,5910,chapter_3_3_4,1st midterm,T5,From raw text,What would an algorithm that repeatedly applied the “factorial” operator in Knuth’s “4” problem follow an infinite path from?,4 to 4!,5910
37,997,slp_chapter6_8,midterm_2,GPT3,BadSummary,"What is skip-gram?
",Skip-gram is a way of learning the probability of a target word and a neighboring context word occurring together.,997
38,4441,chapter3_4,midterm_1,T5,Best Condition - with Davinci,What can bfs use?,early goal testing,4441
39,5139,chapter_2_4_3,1st midterm,GPT3,From raw text,"What is a model-based reflex agent?
",A model-based reflex agent is an agent that uses models to keep track of the state of the world—to the extent possible given the limitations of the agent’s sensors.,5139
40,4402,chapter2_4,midterm_1,T5,Best Condition - with Davinci,What is it possible to have in very simple scenarios?,table driven agent,4402
41,695,slp_chapter9_3,midterm_2,GPT3,GoodSummary,"How are the weights in an rnn adjusted?
",The weights in an rnn are adjusted to minimize the average ce loss over the training sequence via gradient descent.,695
42,2734,chapter2_3,midterm_1,T5,BadSummary,What is the Task Environment Properties?,Fully observable,2734
43,2135,chapter7_5,midterm_1,T5,GoodSummary,"A sentence is satisfiable if it is true in, or satisfied by, some model. Validity and satisfi",satisfiability,2135
44,6275,chapter_2,1st midterm,T5,From GPT-3 generated summary,What is described in this chapter?,"basic ""skeleton"" agent designs",6275
45,4162,chapter19_6,midterm_2,T5,Fewshot,"If y is 1 but hw(x) is 0, then wi is increased when the corresponding input xi is positive and decreased when",hw(x),4162
46,3588,slp_chapter4_10,midterm_2,T5,Zero,What can representational harms do to marginalized groups?,make it harder for members of marginalized groups to access the resources they need to thrive,3588
47,813,chapter7_3,midterm_1,GPT3,BadSummary,"What is the set of all models of a?
",The set of all models of a is m(a).,813
48,4206,slp_chapter5_1,midterm_2,T5,Fewshot,What is the probability that a data point d belongs to class c?,P(c|d),4206
49,944,slp_chapter5_1,midterm_2,GPT3,BadSummary,"What is the difference between a generative model and a discriminative model?
","The difference between a generative model and a discriminative model is that a generative model generates data, and a discriminative model discriminates between different data.",944
50,1355,slp_chapter5_5,midterm_2,GPT3,Zero,"What is ridge regression?
",Ridge regression is a type of l2 regularization and is easier to optimize because of its simple derivative.,1355
51,6119,chapter_2_4_3,1st midterm,GPT3,From GPT-3 generated summary,"What is a sensor model?
",A sensor model is a model of how the state of the world is mapped to the agent's percepts.,6119
52,655,slp_chapter5_3,midterm_2,GPT3,GoodSummary,What is the cross-entropy between true probability distribution of y and our estimated probability distribution of y_pred? ,The cross-entropy between true probability distribution of y and our estimated probability distribution of y_pred is the sum of the log of the true probability of 1 times the estimated probability of 1 plus the log of the true probability of 0 times the estimated probability of \,655
53,5096,chapter_27_2_1,1st midterm,GPT3,From raw text,"What is the argument that searle makes?
",The argument that searle makes is that the human inside the chinese room does not understand chinese.,5096
54,4619,chapter17_3,midterm_2,T5,Best Condition - with Davinci,What is the overall bandit problem?,Markov decision process,4619
55,220,slp_chapter4_5,midterm_2,GPT3,Best Condition - with Davinci,"What does precision emphasize?
",Precision emphasizes true positives i.e. finding what we are supposed to be looking for.,220
56,1201,chapter12_2,midterm_2,GPT3,Zero,"What is the sample space?
",The set of all possible worlds which are mutually exclusive and exhaustive is the sample space.,1201
57,6008,chapter_1_1,1st midterm,GPT3,From GPT-3 generated summary,"What are the strengths and weaknesses of each of these methods?
","The different approaches use different methods, and have both strengths and weaknesses.",6008
58,973,slp_chapter9_1,midterm_2,GPT3,BadSummary,"What are the advantages of neural language models over n-gram language models?
","Neural language models have several advantages over n-gram lms:
they don’t need smoothing
they can handle much longer histories.
they can generalize over contexts of similar words.
neural lms tend to have much higher predictive accuracy than n-gram lms.",973
59,4334,slp_chapter6_12,midterm_2,T5,Fewshot,All embedding algorithms suffer from inherent variability due to factors such as what?,randomness in the initialization and the random negative sampling,4334
60,5296,chapter_1_1_4,1st midterm,T5,From raw text,What is sometimes part of being a rational agent?,Making correct inferences,5296
61,994,slp_chapter6_8,midterm_2,GPT3,BadSummary,"What is word2vec?
",Word2vec is a way of learning the probability of a word occurring close to another word.,994
62,5038,chapter_1_1,1st midterm,GPT3,From raw text,"What is ai?
",Ai is the study of intelligence in both human-like and rational ways.,5038
63,4297,slp_chapter6_3,midterm_2,T5,Fewshot,"If two documents have similar words, what in the matrix will be similar?",their column vectors,4297
64,747,chapter3_2,midterm_1,GPT3,BadSummary,"What is a state?
",A state is a location and its current configuration.,747
65,234,slp_chapter4_9,midterm_2,GPT3,Best Condition - with Davinci,"What is the null hypothesis?
",The null hypothesis is h0.,234
66,4350,chapter27_1,midterm_1,T5,Best Condition - with Davinci,"Whose ""argument from informality of behavior"" posits that human behavior is too complex to be captured by any formal set of",Turing,4350
67,1612,chapter16_3,midterm_2,GPT3,Fewshot,"What is a utility scale?
",A utility scale is a scale on which utilities can be recorded and compared for any particular problem.,1612
68,1040,chapter3_2,midterm_1,GPT3,Zero,"What is the traveling salesperson problem (tsp)?
",The traveling salesperson problem (tsp) is a np-hard problem.,1040
69,2554,slp_chapter5_1,midterm_2,T5,GoodSummary,What helps binary logistic regression make a decision about class of a new input observation?,Sigmoid classifier,2554
70,563,SLP_chapter3_4,midterm_2,GPT3,GoodSummary,"What is a corpus?
",A corpus is a collection of written or spoken texts.,563
71,2836,chapter16_2,midterm_1,T5,BadSummary,What must not be unique if an agent's preferences obeys laws above?,Utility function,2836
72,2289,chapter12_2,midterm_2,T5,GoodSummary,"For each proposition, what does the Probablility model use?",the corresponding worlds in which the proposition holds,2289
73,2098,chapter6_5,midterm_1,T5,GoodSummary,How can we reduce the search space?,symmetry-breaking constraints,2098
74,5777,chapter_2_4_6,1st midterm,T5,From raw text,What is the definition of what?,.,5777
75,2801,chapter3_1,midterm_1,T5,BadSummary,What are states?,vertices,2801
76,6464,chapter_3_4_6,1st midterm,T5,From GPT-3 generated summary,Breadth-first search expands nodes in order of increasing depth from the root.,the root is expanded first,6464
77,3694,slp_chapter6_8,midterm_2,T5,Zero,What is a large corpus of text that GPT-3 is trained on?,Wikipedia,3694
78,6397,chapter_3_3_1,1st midterm,T5,From GPT-3 generated summary,What does the best-first search return?,an indication of failure or a node that represents a path to a goal,6397
79,4070,SLP_chapter3_2,midterm_2,T5,Fewshot,What is the perplexity a measure of?,how well a language model predicts a test set,4070
80,1812,slp_chapter5_6,midterm_2,GPT3,Fewshot,"How many weight vectors and biases are there in a multinomial logistic regression?
","In a multinomial logistic regression, there are separate weight vectors (and biases) for each of the k classes.",1812
81,2140,chapter7_5,midterm_1,T5,GoodSummary,What are clauses with no positive literals called?,goal clauses,2140
82,605,chapter19_6,midterm_2,GPT3,GoodSummary,"What is convergence of stochastic gradient descent not guaranteed?
",Convergence of stochastic gradient descent is not guaranteed.,605
83,6077,chapter_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is an example of a robotic agent?
",A robotic agent is a non-human agent that perceives its environment through sensors such as cameras and sonar and acts upon that environment through actuators such as robotic arms.,6077
84,4366,chapter2_1,midterm_1,T5,Best Condition - with Davinci,How many kinds of sensors does a vacuum cleaner agent have?,three,4366
85,1715,chapter13_3,midterm_2,GPT3,Fewshot,"What is the worst case time and space complexity of inference in bayes nets?
","The worst case time and space complexity of inference in bayes nets is exponential, even when the number of parents per node is bounded.",1715
86,5174,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
87,2780,chapter2_4,midterm_1,T5,BadSummary,What can an agent use to find a sequence of actions to reach a goal?,search and planning strategies,2780
88,2690,slp_chapter6_8,midterm_2,T5,GoodSummary,What is used to train a classifier?,logistic regression,2690
89,552,SLP_chapter3_1,midterm_2,GPT3,GoodSummary,"What is the markov assumption?
",The markov assumption is the assumption that the current state of the language model is independent of the previous state of the language model.,552
90,2752,chapter2_3,midterm_1,T5,BadSummary,"If the env does NOT change but its performance measure does over time, this is what?",semidynamic,2752
91,730,chapter27_2,midterm_1,GPT3,BadSummary,"What is the usual convention regarding whether or not computers generate understanding?
",The usual convention is that everyone thinks that computers do not generate understanding.,730
92,1024,chapter2_2,midterm_1,GPT3,Zero,"What does a performance measure depend on?
",A performance measure depends on a metric that evaluates any given sequence of environment states.,1024
93,907,slp_chapter4_2,midterm_2,GPT3,BadSummary,"What is the optimal solution for a non-parametric model?

",The optimal solution for a non-parametric model is the map.,907
94,3259,chapter16_1,midterm_1,T5,Zero,What happens if the utility function directly reflects the agent's performance measure?,the agent will do well in its environment,3259
95,5123,chapter_2_3_2,1st midterm,GPT3,From raw text,"What are the dimensions along which task environments can be categorized?
","The range of task environments that might arise in ai is obviously vast. we can, however, identify a fairly small number of dimensions along which task environments can be categorized. these dimensions determine, to a large extent, the appropriate agent design and the applicability of each of the principal families of techniques for agent implementation.",5123
96,6166,chapter_3_3_3,1st midterm,GPT3,From GPT-3 generated summary,"What is a redundant path?
",A redundant path is a path that is just a worse way to get to the same state.,6166
97,3084,slp_chapter9_3,midterm_2,T5,BadSummary,What do weights serve as?,embeddings,3084
98,5219,chapter_3_4_1,1st midterm,GPT3,From raw text,"What is an exponential-complexity search problem?
",An exponential-complexity search problem is a search problem with a time or space complexity that is exponential in the size of the search space.,5219
99,6239,chapter_27_1_1,1st midterm,T5,From GPT-3 generated summary,Who championed the view that human behavior is too complex to be captured by any formal set of rules?,Hubert Dreyfus,6239
100,6445,chapter_3_4_3,1st midterm,T5,From GPT-3 generated summary,What is depth-first search for infinite state spaces?,incomplete,6445
101,177,chapter19_2,midterm_2,GPT3,Best Condition - with Davinci,"What is a model class?
",A model class is a function class that approximates the true function.,177
102,6010,chapter_1_1_1,1st midterm,GPT3,From GPT-3 generated summary,"Who proposed the turing test?
",Alan turing proposed the turing test.,6010
103,1584,chapter7_4,midterm_1,GPT3,Fewshot,"What is the syntax of propositional logic?
",The syntax of propositional logic defines the allowable atomic sentences that can be a single propositional symbol.,1584
104,1169,chapter17_2,midterm_2,GPT3,Zero,"What is policy iteration?
",Policy iteration is another process used to find the optimal policy for an mdp.,1169
105,5091,chapter_27_2,1st midterm,GPT3,From raw text,"Do you agree with the philosophers who claim that a machine that acts intelligently would not be actually thinking, but would be only a simulation of thinking?
","No, i do not agree with the philosophers who claim that a machine that acts intelligently would not be actually thinking, but would be only a simulation of thinking.",5091
106,3895,chapter16_3,midterm_1,T5,Fewshot,Agents with linear utility curves are what?,risk neutral,3895
107,504,chapter22_1,midterm_2,GPT3,GoodSummary,"What is model-free reinforcement learning?
",Model-free reinforcement learning is when a utility function is used to intreprety and make decisions.,504
108,2545,slp_chapter5_1,midterm_2,T5,GoodSummary,What does Discriminative try to do?,directly compute P(c|d),2545
109,6254,chapter_27_2,1st midterm,T5,From GPT-3 generated summary,Who argued that we would be more willing to ascribe sentience to a machine if it appeared more human?,Alan Turing,6254
110,4534,chapter6_5,midterm_1,T5,Best Condition - with Davinci,What sort of tree takes O(nd?? 2) time?,topological,4534
111,23,chapter6_4,midterm_1,GPT3,Best Condition - with Davinci,"What is the difference between local search and greedy search?
","Local search uses a complete-state formulation, which means that each state assigns a value to each variable, and the search changes a variable at a time. greedy search does not use a complete-state formulation, and the search changes multiple variables at a time.",23
112,1673,chapter12_6,midterm_2,GPT3,Fewshot,"4.
",4.,1673
113,4896,slp_chapter5_1,midterm_2,T5,Best Condition - with Davinci,What is a model that can be used to understand what dogs look like and what cats look like?,generative model,4896
114,497,chapter17_2,midterm_2,GPT3,GoodSummary,"What is linear programming?
",Linear programming is a decision making algorithm that uses exact solutions to find optimal policies online.,497
115,6284,chapter_2_2,1st midterm,T5,From GPT-3 generated summary,What does the environment go through when an agent is plunked down in an environment?,a sequence of states,6284
116,6333,chapter_2_4,1st midterm,T5,From GPT-3 generated summary,The text describes how the AI designs an agent program that is appropriate for what?,agent architecture,6333
117,211,slp_chapter4_4,midterm_2,GPT3,Best Condition - with Davinci,"What is a natural bayesian classifier?
",A natural bayesian classifier is a set of class-specific unigram language models.,211
118,6248,chapter_27_1_4,1st midterm,T5,From GPT-3 generated summary,How long does the Turing test require a program to have a conversation with an interrogator?,five minutes,6248
119,5165,chapter_3_1_1,1st midterm,GPT3,From raw text,"What is a solution in a search problem?
",7,5165
120,2568,slp_chapter5_1,midterm_2,T5,GoodSummary,What does naive bayes have overly?,strong conditional independence assumptions,2568
121,2365,chapter13_2,midterm_2,T5,GoodSummary,"If no redundancy, what is there?",chance for inconsistency,2365
122,538,chapter12_5,midterm_2,GPT3,GoodSummary,"What is bayes rule?
",Bayes rule is a rule for updating probabilities in the presence of new evidence.,538
123,5322,chapter_1_1_5,1st midterm,T5,From raw text,Why is the standard model not the right model in the long run?,the standard model assumes that we will supply a fully specified objective to the machine,5322
124,1022,chapter2_2,midterm_1,GPT3,Zero,"What is a rational agent?
","A rational agent is one that does the right thing, but what is the right thing?",1022
125,129,chapter12_7,midterm_2,GPT3,Best Condition - with Davinci,"What is a probabilistic agent?
",A probabilistic agent is an agent that uses probability to make inferences.,129
126,6082,chapter_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What is the one notion of the ""right thing"" that ai has generally stuck to? 
","Ai has generally stuck to one notion of the ""right thing"" called consequentialism.",6082
127,6249,chapter_27_1_4,1st midterm,T5,From GPT-3 generated summary,What percentage of the time is the interrogator fooled?,30%,6249
128,1322,slp_chapter4_7,midterm_2,GPT3,Zero,"What is the adjusted precision/recall metric for a system with more than 2 classes?
","The adjusted precision/recall metric for a system with more than 2 classes is macro averaging, which computes performance for each class and then averages over all classes.",1322
129,2900,chapter16_3,midterm_2,T5,BadSummary,What type of person wants guaranteed payoff that is lower than expected outcome?,Risk averse,2900
130,3312,chapter7_1,midterm_1,T5,Zero,What types of setup does a successful agent have?,declarative and procedural,3312
131,2794,chapter3_1,midterm_1,T5,BadSummary,The agent might have to try what before it finds a solution or discovers no solution is possible?,multiple sequences,2794
132,3311,chapter7_1,midterm_1,T5,Zero,At what level does the agent need to specify what it knows and its goals?,knowledge level,3311
133,3597,slp_chapter5_1,midterm_2,T5,Zero,What does logistic regression work by first training a model on?,training data,3597
134,352,chapter1_1,midterm_1,GPT3,Best Condition - with Davinci,"What is the turing test approach?
",The turing test approach is an approach in which a computer is checked to see if it can pass as human by answering questions.,352
135,4471,chapter5_3,midterm_1,T5,Best Condition - with Davinci,What is a technique used to optimize minimax search and cut the exponent in half?,Alpha-beta pruning,4471
136,429,chapter16_2,midterm_1,GPT3,GoodSummary,"What is transitivity?
","Transitivity is the constraint that states that if b is between a and c, then the decision maker must be indifferent between a and c.",429
137,3069,slp_chapter9_2,midterm_2,T5,BadSummary,What type of LMs creates a notion of similarity between words?,Neural,3069
138,3240,chapter5_3,midterm_1,T5,Zero,What is used to optimize minimiax search and cut exponenet in half?,Alphabeta purning,3240
139,3423,chapter12_7,midterm_2,T5,Zero,What do agents have to do in the Wumpus world?,randomly choose which squares are the most safe to go to,3423
