,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,641,slp_chapter4_9,midterm_2,GPT3,GoodSummary,"What is effect size?
",Effect size is a way to compare two different models to see which is better.,641
1,315,slp_chapter6_2,midterm_2,GPT3,Best Condition - with Davinci,"What is the multi-dimensional space?
",The multi-dimensional space is a space with multiple dimensions.,315
2,6398,chapter_3_3_2,1st midterm,T5,From GPT-3 generated summary,What does the text describe?,data structures,6398
3,6022,chapter_1_1_3,1st midterm,GPT3,From GPT-3 generated summary,"What does this notation allow for?
","This notation allows for programs that, in principle, could solve any problem that could be described using logical notation.",6022
4,4061,chapter12_7,midterm_2,T5,Fewshot,What can be used to simplify the summations required?,independence and conditional independence relationships,4061
5,829,chapter22_1,midterm_2,GPT3,BadSummary,"What is the difference between reinforcement learning and supervised learning?

",Reinforcement learning is different from supervised learning because it is not given the mdp but the agent is in the mdp.,829
6,38,chapter7_2,midterm_1,GPT3,Best Condition - with Davinci,"What is the wumpus world different from?
","The wumpus world is different from the r2d2 problem in that the r2d2 problem is nondeterministic, continuous, dynamic, and multiagent.",38
7,14,chapter6_2,midterm_1,GPT3,Best Condition - with Davinci,"What is the space complexity of ac-3?

",The space complexity of ac-3 is polynomial in the worst case.,14
8,6293,chapter_2_2,1st midterm,T5,From GPT-3 generated summary,What should performance measures be designed according to?,what one actually wants to be achieved in the environment,6293
9,954,slp_chapter7_1,midterm_2,GPT3,BadSummary,"What are the three components of a neural network?
","The three components of a neural network are a set of inputs, a set of outputs, and a set of neural units.",954
10,386,chapter3_3,midterm_1,GPT3,GoodSummary,"What is a search algorithm?
",A search algorithm is a set of rules that map from search problems to solutions or an indication of failure.,386
11,6146,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
12,6349,chapter_2_4_4,1st midterm,T5,From GPT-3 generated summary,What does a goal-based agent rely on to decide what to do?,goal information,6349
13,4116,chapter13_3,midterm_2,T5,Fewshot,What can help us bring the complexity down from O(n?? 2) to O(n)?,__clustering__ algorithms,4116
14,2041,chapter16_3,midterm_1,T5,GoodSummary,What is one explanation for irrational preferences?,certainty effect,2041
15,1054,chapter3_5,midterm_1,GPT3,Zero,,"A greedy best-first search expands the first node with the lowest h(n), which is likely to find the solution quickly.

",1054
16,4876,slp_chapter4_7,midterm_2,T5,Best Condition - with Davinci,What is the percentage of observations that have been labeled correctly?,accuracy,4876
17,4818,chapter19_4,midterm_2,T5,Best Condition - with Davinci,What two sets of data do we split the data into?,training and test set,4818
18,1098,chapter6_2,midterm_1,GPT3,Zero,"What does ac-3 do to make a csp problem arc-consistent?
","Ac-3 maintains a queue of arcs to consider, and initially, all arcs are in the queue. then, it pops out an arbitrary arc (x_i, x_j) and makes the variable x_i arc-consistent with x_j.",1098
19,1973,chapter3_4,midterm_1,T5,GoodSummary,What does DFS have since no reached storage?,memory of $O(bm)$,1973
20,6265,chapter_27_2_1,1st midterm,T5,From GPT-3 generated summary,What does Searle say computers generate?,no understanding,6265
21,3562,slp_chapter4_7,midterm_2,T5,Zero,What are human-defined labels that we are trying to match up to system output?,Gold labels,3562
22,4639,chapter22_3,midterm_2,T5,Best Condition - with Davinci,What is used to learn utilities defined by the optimal policy?,Bellman equation,4639
23,538,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
24,735,chapter2_4,midterm_1,GPT3,BadSummary,"What is ai? 
",Ai is a branch of computer science that deals with creating intelligent agents.,735
25,4423,chapter3_2,midterm_1,T5,Best Condition - with Davinci,What criterion is used to compare the performance of an agent with that of the best human agent with limited time and space?,depth-lim,4423
26,4264,slp_chapter7_5,midterm_2,T5,Fewshot,What is formed by concatenating the embeddings for the context vectors?,embedding layer,4264
27,871,chapter19_1,midterm_2,GPT3,BadSummary,"What are the components of an agent?
","The components of an agent include: a direct mapping from current state to action, a means to infer relevant properties of the world, and information about the way world evolves and the results of actions an agent takes.",871
28,3586,slp_chapter4_10,midterm_2,T5,Zero,What type of consequences can representational harms have?,negative,3586
29,4924,slp_chapter5_5,midterm_2,T5,Best Condition - with Davinci,What is the Euclidean distance of the vector?? from the origin?,argmax,4924
30,5691,chapter_2_4_2,1st midterm,T5,From raw text,What do we show in the course of the book?,several different ways in which such connections can be learned and implemented,5691
31,2108,chapter7_1,midterm_1,T5,GoodSummary,Which agents use both declarative and procedural approaches?,Successful agents,2108
32,54,chapter16_1,midterm_2,GPT3,Best Condition - with Davinci,"What are the two types of simple decisions?
",The two types of simple decisions are decision making with known outcomes and decision making with uncertain outcomes.,54
33,5284,chapter_1_1_3,1st midterm,T5,From raw text,What tradition within artificial intelligence hopes to build on programs to create intelligent systems?,logicist,5284
34,1095,chapter6_1,midterm_1,GPT3,Zero,"What is ac-3(csp)?
",Ac-3(csp) is a function that returns false if an inconsistency is found and true otherwise.,1095
35,3336,chapter16_1,midterm_2,T5,Zero,Who should choose the action that maximizes the agent's expected utility?,rational agent,3336
36,2909,chapter17_3,midterm_2,T5,BadSummary,What is the overall bandit problem?,MDP,2909
37,5952,chapter_3_4_3,1st midterm,T5,From raw text,What could be implemented as a call to where the evaluation function is the negative of the depth?,BEST-FIRST-SEARCH,5952
38,3214,chapter3_5,midterm_1,T5,Zero,Satisficing solutions are good enough because they do what?,"they explore fewer nodes, saving time/space",3214
39,6116,chapter_2_4_2,1st midterm,GPT3,From GPT-3 generated summary,,"A simple reflex agent is one who chooses actions based on the current percept, without considering the percept history.
",6116
40,5104,chapter_2,1st midterm,GPT3,From raw text,"What is an intelligent agent?
",An intelligent agent is a system that behaves rationally.,5104
41,1863,slp_chapter6_3,midterm_2,GPT3,Fewshot,"What is the relationship between a term-document matrix and a similarity measure?
",A term-document matrix is a matrix that is used to calculate a similarity measure between two documents.,1863
42,1532,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
43,4740,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
44,1064,chapter5_1,midterm_1,GPT3,Zero,"What are the actions of the game?
",The actions of the game are the possible moves that can be made during the game.,1064
45,3711,slp_chapter6_11,midterm_2,T5,Zero,When can reprerepresentational harm occur?,when a system is designed in a way that makes it difficult or impossible for certain groups to access or use it,3711
46,2904,chapter17_1,midterm_2,T5,BadSummary,What are Tables too big for larger Problems?,Tables far too big,2904
47,5169,chapter_3_3,1st midterm,GPT3,From raw text,"What is the output of a search problem?
","The output of a search problem is a solution, or an indication of failure.",5169
48,4212,slp_chapter5_2,midterm_2,T5,Fewshot,What is a method of machine learning where the data is labeled in advance and the model is trained to learn the mapping from input to output?,Supervised classification,4212
49,4951,slp_chapter7_2,midterm_2,T5,Best Condition - with Davinci,A perceptron that can solve the XOR problem is said to be what?,bi-dimensional,4951
50,52,chapter7_5,midterm_1,GPT3,Best Condition - with Davinci,"What is the conclusion of a valid argument true if and only if the premises are true?
",The conclusion of a valid argument is true if and only if the premises are true.,52
51,1052,chapter3_4,midterm_1,GPT3,Zero,"What is the difference between dfs and early goal testing?
","Dfs uses early goal testing, while bfs and ucs use late goal testing.",1052
52,5187,chapter_3_3_3,1st midterm,GPT3,From raw text,"3.3.what is a tree-like search?
",3.3.a tree-like search is a search algorithm that does not check for redundant paths.,5187
53,381,chapter2_4,midterm_1,GPT3,GoodSummary,"What is the sensor model?
",The sensor model is a description of how the world senses.,381
54,1444,chapter1_1,midterm_1,GPT3,Fewshot,"What is the engineering approach to artificial intelligence?
",The engineering approach to artificial intelligence is the ability to act rationally.,1444
55,4521,chapter6_2,midterm_1,T5,Best Condition - with Davinci,Why will the CSP problem after and before AC-3 be faster to solve?,smaller domain size of variables,4521
56,5702,chapter_2_4_3,1st midterm,T5,From raw text,When do one or more illuminated red regions appear in the forward-facing camera image?,when the car in front initiates braking,5702
57,130,chapter12_7,midterm_2,GPT3,Best Condition - with Davinci,"What is the difference between a pure logical agent and a probabilistic agent?
",A pure logical agent is an agent that can make all the inferences necessary to solve the wumpus world. a probabilistic,130
58,6080,chapter_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What does it mean to do the right thing? 
",Doing the right ,6080
59,1835,slp_chapter7_5,midterm_2,GPT3,Fewshot,"What is the disadvantage of neural language models compared to n-gram models?
","Neural language models are also more complex, slow to train, and less interpretable than n-gram models.",1835
60,665,slp_chapter7_2,midterm_2,GPT3,GoodSummary,"What is a perceptron?
",A perceptron is a linear classifier that can be used to compute the and and or logical operations.,665
61,3987,chapter17_3,midterm_2,T5,Fewshot,What is a specific class of sequential decision problem?,multi-armed bandit,3987
62,720,slp_chapter6_11,midterm_2,GPT3,GoodSummary,"What is the difference between implicit associations and explicit associations?
","Implicit associations are ones that are present in a system, whereas explicit associations are ones that are explicitly stated.",720
63,3173,chapter2_3,midterm_1,T5,Zero,What is one in which the agent does not need to worry about changes in the environment while selecting an action?,A static environment,3173
64,28,chapter6_5,midterm_1,GPT3,Best Condition - with Davinci,"What is the tree decomp approach?
","The tree decomp approach is an alternative to cutset conditioning that takes o(nd^{w+1}) time.

question",28
65,798,chapter6_5,midterm_1,GPT3,BadSummary,"What is the running time of tree with topo sort?
",The running time of tree with topo sort is o(n^2).,798
66,2140,chapter7_5,midterm_1,T5,GoodSummary,What are clauses with no positive literals called?,goal clauses,2140
67,6415,chapter_3_3_4,1st midterm,T5,From GPT-3 generated summary,What are the four ways in which one can measure the performance of an algorithm?,"completeness, cost optimality, time complexity, and space complexity",6415
68,85,chapter22_1,midterm_2,GPT3,Best Condition - with Davinci,"What is model-based reinforcement learning?
","In model-based reinforcement learning, the transition model is given and the agent then learns the model from observing the effects of its actions.",85
69,6377,chapter_3,1st midterm,T5,From GPT-3 generated summary,What are the simplest types of search algorithms?,"episodic, single agent, fully observable, deterministic, static, discrete, and known environments",6377
70,5435,chapter_27_2,1st midterm,T5,From raw text,What does Turing say we never have any direct evidence about the internal mental states of other humans?,mental solipsism,5435
71,6296,chapter_2_2,1st midterm,T5,From GPT-3 generated summary,How many agents can achieve the same average cleanliness?,two different agents,6296
72,1422,slp_chapter6_8,midterm_2,GPT3,Zero,"How is gpt-3 trained?
","Gpt-3 is trained on a large corpus of text, such as the entire wikipedia.",1422
73,689,slp_chapter9_2,midterm_2,GPT3,GoodSummary,"What is a simple recurrent network?
",A simple recurrent network is any recurrent neural network that does not impose a fixed-length limit on this prior context; the context embodied in the previous hidden layer can include information extending back to the beginning of the sequence.,689
74,1476,chapter2_4,midterm_1,GPT3,Fewshot,"What is an agent program?
",An agent program is the code that implements an agent function.,1476
75,5194,chapter_3_3_4,1st midterm,GPT3,From raw text,"
",To,5194
76,882,chapter19_2,midterm_2,GPT3,BadSummary,"What is the best fit function?
",The best fit function is the function that best approximates the true function f.,882
77,5159,chapter_3_1_1,1st midterm,GPT3,From raw text,"What is a search problem?
",A search problem is a problem in which the agent tries to find a path from an initial state to a goal state.,5159
78,6454,chapter_3_4_5,1st midterm,T5,From GPT-3 generated summary,"If the path cost is the evaluation function, what is the best solution found so far?",tracked,6454
79,6043,chapter_27_1_2,1st midterm,GPT3,From GPT-3 generated summary,"What is the argument from disability?
","The argument from disability claims that machines can never do x, where x is a characteristic of humans.",6043
80,1536,chapter16_2,midterm_1,GPT3,Fewshot,"What is substitutability?
",Substitutability is the constraint on rational preferences that states that if,1536
81,1096,chapter6_1,midterm_1,GPT3,Zero,"What is revise(csp, xi, xj)?
",5.,1096
82,5785,chapter_3,1st midterm,T5,From raw text,Where are planning agents discussed?,Chapters 7 and 11,5785
83,2431,chapter19_3,midterm_2,T5,GoodSummary,What is used to see if an attribute is relevant or not?,significance tests,2431
84,6128,chapter_2_4_5,1st midterm,GPT3,From GPT-3 generated summary,"What is a disadvantage of a goal-based agent?
",A goal-based agent is less flexible and cannot learn.,6128
85,2737,chapter2_3,midterm_1,T5,BadSummary,"If there are no sensors, an env could be what?",unobservable,2737
86,6082,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
87,5053,chapter_1_1_3,1st midterm,GPT3,From raw text,"1.1.what did the 19th century logicians develop?
",1.1.the 19th century logicians developed a precise notation for statements about objects in the world and the relations among,5053
88,366,chapter27_2,midterm_1,GPT3,GoodSummary,"What does turing think making machine human like concious is not the focus?
",Turing thinks making machine human like concious is not the focus.,366
89,1100,chapter6_2,midterm_1,GPT3,Zero,"What happens if the domain of x_i is changed?
","If the domain of x_i is changed (i.e. made smaller), then all arcs (x_k, x_i) in which x_i and x_k are neighbors are added to the queue.",1100
90,2819,chapter3_6,midterm_1,T5,BadSummary,Which heuristic is more efficient than h1?,h2,2819
91,3704,slp_chapter6_11,midterm_2,T5,Zero,What is it called when a system allocates resources unfairly to different groups?,Allocational harm,3704
92,1285,chapter19_5,midterm_2,GPT3,Zero,"What is a decision list?
",A decision list outlines how pac learning should be applied to new decision spaces.,1285
93,1648,chapter12_1,midterm_2,GPT3,Fewshot,"What is probability theory?
","Probability theory is a way of summarizing the uncertainly that comes from our laziness and ignorance, thereby solving the qualification problem.",1648
94,6407,chapter_3_3_3,1st midterm,T5,From GPT-3 generated summary,How many paths are there in a grid world?,more than 100 million,6407
95,3933,chapter7_1,midterm_1,T5,Fewshot,What types of setup does a successful agent have?,declarative and procedural,3933
96,1561,chapter6_4,midterm_1,GPT3,Fewshot,"What is a conflict?
",A conflict is a situation in which the value assigned to one variable would result in a contradiction with the value assigned to another variable.,1561
97,382,chapter3_1,midterm_1,GPT3,GoodSummary,"What is a search problem?
",A search problem is a problem in which an agent undertakes a search.,382
98,5137,chapter_2_4_2,1st midterm,GPT3,From raw text,2.4.2.,2.4.2.,5137
99,3536,chapter19_6,midterm_2,T5,Zero,Data that can be separated by a linear decision boundary are called what?,linearly separable,3536
100,2159,chapter16_2,midterm_2,T5,GoodSummary,"What is proven to exist for an agent, but is not necessarily unique?",utility function,2159
101,594,chapter19_4,midterm_2,GPT3,GoodSummary,"What is feature selection used for?
",Feature selection is used for discarding attributes.,594
102,3118,slp_chapter6_12,midterm_2,T5,BadSummary,What are intrinsic similarity tasks that include?,context 5,3118
103,5613,chapter_2_3_2,1st midterm,T5,From raw text,What is the term for an environment that is completely determined by the current state and the action executed by the agent(s)?,Deterministic,5613
104,4044,chapter12_4,midterm_2,T5,Fewshot,What can help reduce the size of the domain representation and complexity of the inference problem?,independence assertions,4044
105,324,slp_chapter6_4,midterm_2,GPT3,Best Condition - with Davinci,"What is the dot product of the vectors and ?
",The dot product of the vectors and is,324
106,5392,chapter_27_1_3,1st midterm,T5,From raw text,Why are humans different?,their brains operate by quantum gravity,5392
107,132,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
108,5877,chapter_3_3_3,1st midterm,T5,From raw text,How many states does the state space have?,20,5877
109,985,slp_chapter6_1,midterm_2,GPT3,BadSummary,"What is word relatedness?
",Word relatedness is the relation between two words.,985
110,2994,chapter19_6,midterm_2,T5,BadSummary,"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),2994
111,3039,slp_chapter5_6,midterm_2,T5,BadSummary,What is included in the weight vectors for each of the K classes?,biases,3039
112,1581,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
113,731,chapter27_2,midterm_1,GPT3,BadSummary,"What does john searle reject?
",John searle rejects the polite convention.,731
114,6125,chapter_2_4_5,1st midterm,GPT3,From GPT-3 generated summary,"What is a goal-based agent?
",A goal-based agent is one that only has a goal and no way to compare different world states.,6125
115,2805,chapter3_1,midterm_1,T5,BadSummary,What does a good abstraction remove?,as much detail as possible,2805
116,4242,slp_chapter7_1,midterm_2,T5,Fewshot,What is a standard non-linearity that maps values from -?? to +?? to values between 0 and 1?,sigmoid function,4242
117,5580,chapter_2_2_3,1st midterm,T5,From raw text,"When an agent has little or no experience, it would have to act what?",random,5580
118,5090,chapter_27_1_4,1st midterm,GPT3,From raw text,"Who is responsible for the current state of the turing test?
",The current state of the turing test is the result of the lack of a well-trained judge.,5090
119,2422,chapter19_3,midterm_2,T5,GoodSummary,What classification mapping to either false or true?,Boolean classification,2422
120,2806,chapter3_2,midterm_1,T5,BadSummary,8-puzzle belongs to the family of what?,sliding-block puzzles,2806
121,2065,chapter6_3,midterm_1,T5,GoodSummary,What is the order to examine values?,least-constarining-value heuristic,2065
122,1019,chapter2_1,midterm_1,GPT3,Zero,"Otherwise, what does the agent do?
","Otherwise, the agent moves to another square.",1019
123,3010,slp_chapter4_9,midterm_2,T5,BadSummary,What is the hypothesis H0 called?,the null hypothesis,3010
124,6067,chapter_27_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What experiments have helped to resolve some of the issues of the problem of consciousness?
",Experiments conducted by neuroscientists and philosophers,6067
125,5153,chapter_3_1,1st midterm,GPT3,From raw text,"What is a problem-solving agent?
",A problem-solving agent is an agent that follows a four-phase problem-solving process to find a solution to a problem.,5153
126,732,chapter27_2,midterm_1,GPT3,BadSummary,"What is john searle a proponent of?
",John searle is a proponent of biological naturalism.,732
127,958,slp_chapter7_2,midterm_2,GPT3,BadSummary,"What does a perceptron not have?
",A perceptron does not have a non-linear activation function.,958
128,4143,chapter19_3,midterm_2,T5,Fewshot,What is a measure of the uncertainty of a random variable?,Entropy,4143
129,4989,slp_chapter9_2,midterm_2,T5,Best Condition - with Davinci,How is this mapping done?,by associating each word in the vocabulary with a vector-representation,4989
130,5131,chapter_2_4_1,1st midterm,GPT3,From raw text,"What is a reflex agent?
",A reflex agent is an agent program that takes the current percept as input and returns an action to the actuators.,5131
131,2501,slp_chapter4_4,midterm_2,T5,GoodSummary,What is clipping the word counts in each document at 1 called?,binary NB,2501
132,1903,chapter27_1,midterm_1,T5,GoodSummary,"Whose ""argument from informality of behavior"" says human behavior is too complex to be captured?",Turing,1903
133,3647,slp_chapter7_4,midterm_2,T5,Zero,Pretrained word embeddings can be used to do what?,improve the performance of deep learning models,3647
134,3452,SLP_chapter3_5,midterm_2,T5,Zero,What is lowering some non-zero counts in order to get probability mass that is assigned to zero counts?,Discounting,3452
135,1781,slp_chapter4_9,midterm_2,GPT3,Fewshot,"What is the p-value in the bootstrap test?
","The p-value is the probability, assuming the null hypothesis h0 is true, of seeing the δ(x) that we saw or one even greater.",1781
136,3887,chapter16_2,midterm_1,T5,Fewshot,What does the utility function not need to be?,unique,3887
137,6068,chapter_2,1st midterm,GPT3,From GPT-3 generated summary,"What is an agent?
",An agent is a mechanism that interacts with its environment to achieve a goal.,6068
138,6302,chapter_2_2,1st midterm,T5,From GPT-3 generated summary,What is the definition of what?,r,6302
139,4573,chapter7_5,midterm_1,T5,Best Condition - with Davinci,What was the first problem proved to be NP-complete?,SAT,4573
