,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,1436,slp_chapter6_12,midterm_2,GPT3,Zero,"What is the extrinsic evaluation metric for vector models?
",The extrinsic evaluation metric for vector models is testing their performance on nlp tasks to see if they improve over other models.,1436
1,1144,chapter7_5,midterm_1,GPT3,Zero,"What is a tautology?
","A sentence is valid if it is true in all models, and such sentences are also known as tautologies.",1144
2,43,chapter7_3,midterm_1,GPT3,Best Condition - with Davinci,"What is a proper subset?
",A proper subset is a subset that is not equal to the original set.,43
3,4265,slp_chapter7_5,midterm_2,T5,Fewshot,How is the hidden layer computed?,by multiplying the embedding layer by a weight matrix and adding a bias vector,4265
4,6393,chapter_3_3,1st midterm,T5,From GPT-3 generated summary,What is the set of all possible paths that could be taken to reach a goal state?,the search tree,6393
5,4171,slp_chapter4_4,midterm_2,T5,Fewshot,What can be viewed as a set of class-specific unigram language models?,Naive Bayes,4171
6,2934,chapter12_4,midterm_2,T5,BadSummary,What can help reduce the size of the domain representation and complexity of the inference problem?,independence assertions,2934
7,3974,chapter17_1,midterm_2,T5,Fewshot,What is a utility function depending on a sequence of states and actions rather than on a single state?,environment history,3974
8,3005,slp_chapter4_5,midterm_2,T5,BadSummary,What measures percentage of items that were predicted positive that are actually positive?,Precision,3005
9,2490,slp_chapter4_1,midterm_2,T5,GoodSummary,What class has the maximum posterior probability given the document?,c_hat,2490
10,1157,chapter16_2,midterm_2,GPT3,Zero,"What is a lottery?
","A lottery is a set of outcomes, all of which are equally likely.",1157
11,4992,slp_chapter9_2,midterm_2,T5,Best Condition - with Davinci,What type of vectors are low-dimensional?,dense vectors,4992
12,50,chapter7_5,midterm_1,GPT3,Best Condition - with Davinci,"What are valid sentences known as?
",Valid sentences are also known as tautologies—they are necessarily true.,50
13,5199,chapter_3_3_4,1st midterm,GPT3,From raw text,"1
",To,5199
14,1606,chapter16_2,midterm_2,GPT3,Fewshot,"What is transitivity?
",Transitivity is the requirement that preferences be transitive.,1606
15,3892,chapter16_3,midterm_1,T5,Fewshot,What is the sum of the expected utilities of all the possible outcomes of a lottery?,The expected utility of a lottery,3892
16,3861,chapter5_3,midterm_1,T5,Fewshot,What is the value of the highest value choice we have found so far at any action point for MAX?,Alpha,3861
17,1118,chapter7_1,midterm_1,GPT3,Zero,"What does the agent program tell the knowledge base (kb) every time it is called?
",The agent program tells the knowledge base (kb) what it perceives and what action it took.,1118
18,657,slp_chapter5_4,midterm_2,GPT3,GoodSummary,"What is the difference between batch training and mini-batch training?
",Batch training processes a set of training examples all at once. mini-batch training processes a subset of the training examples all at once.,657
19,1007,slp_chapter6_12,midterm_2,GPT3,BadSummary,"What is the dataset for the simlex-9dataset?
","The dataset for the simlex-9dataset is a more difficult dataset that quantifies similarity (cup, mug) rather than relatedness (cup, coffee), and including both concrete and abstract adjective, noun and verb pairs.",1007
20,4162,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
21,2732,chapter2_2,midterm_1,T5,BadSummary,"What does right thing, but what is right thing?",Rational agent,2732
22,3181,chapter3_1,midterm_1,T5,Zero,What is needed if the model is incorrect or the environment is nondeterministic?,closed-loop approach,3181
23,5971,chapter_3_4_3,1st midterm,T5,From raw text,How are successors generated?,by modifying the current state description directly rather than allocating memory for a brand-new state,5971
24,2456,chapter19_4,midterm_2,T5,GoodSummary,What can be used to tune hyperparameters?,Bayesian optimization or population-based training,2456
25,3964,chapter16_2,midterm_2,T5,Fewshot,What is a branch of economics that deals with how people make decisions?,utility theory,3964
26,4833,chapter19_5,midterm_2,T5,Best Condition - with Davinci,What does input and output allow a machine to do?,gather data about its environment,4833
27,6396,chapter_3_3_1,1st midterm,T5,From GPT-3 generated summary,Best-first search generates what and adds them to the frontier?,child nodes,6396
28,461,chapter7_1,midterm_1,GPT3,GoodSummary,"What are the operations used to add new sentences to an agent's kb?
",The operations used to add new sentences to an agent's kb are tell and ask.,461
29,846,chapter12_3,midterm_2,GPT3,BadSummary,"P(x|e) = α ∑_y p(x,e,y)
","P(x|e) = α ∑_y p(x,e,y)",846
30,6127,chapter_2_4_5,1st midterm,GPT3,From GPT-3 generated summary,"What is a disadvantage of a utility-based agent?
",A utility-based agent is more difficult to implement than a goal-based agent.,6127
31,5706,chapter_2_4_4,1st midterm,T5,From raw text,What type of agents are not always enough to decide what to do?,Goal-based agents,5706
32,4257,slp_chapter7_5,midterm_2,T5,Fewshot,Neural language models can handle what?,longer histories,4257
33,5124,chapter_2_3_2,1st midterm,GPT3,From raw text,"What are the differences between single-agent and multiagent environments?
","The distinction between single-agent and multiagent environments may seem simple enough. for example, an agent solving a crossword puzzle by itself is clearly in a single-agent environment, whereas an agent playing chess is in a two-agent environment. however, there are some subtle issues. first, we have described how an entity may be viewed as an agent, but we have not explained which entities must be viewed as agents. does an agent (the taxi driver for example) have to treat an object (another vehicle) as an agent, or can it be treated merely as an object behaving according to the laws of physics, analogous to waves at the beach or leaves blowing in the wind? the key distinction is whether ’s behavior is best described as maximizing a",5124
34,1693,SLP_chapter3_4,midterm_2,GPT3,Fewshot,"How can we deal with oov words?
",One way to deal with oov words is to choose a vocabulary that is fixed in advance. another way is to convert any oov words to the unknown word token in a text normalization step.,1693
35,1915,chapter2_1,midterm_1,T5,GoodSummary,What are actuators?,"hands, legs, vocal tract",1915
36,6146,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
37,5382,chapter_27_1_2,1st midterm,T5,From raw text,What is the name of the paper that argued that a robot can never fall in love?,"Kim et al., 2007",5382
38,3308,chapter6_5,midterm_1,T5,Zero,What can be used to remove and assign a cycle cutset?,Cutset conditioning,3308
39,2723,chapter1_1,midterm_1,T5,BadSummary,What chapter summarizes four approaches to develpoing AI?,Chapter 1.1,2723
40,1811,slp_chapter5_6,midterm_2,GPT3,Fewshot,"What is multinomial logistic regression?
",Multinomial logistic regression is a type of regression that is used when there are more than two classes.,1811
41,6185,chapter_3_4_2,1st midterm,GPT3,From GPT-3 generated summary,"How is dijkstra's algorithm implemented as a call to best-first search with path-cost as the evaluation function?
",Dijkstra's algorithm can be implemented as a call to best-first search with path-cost as the evaluation function.,6185
42,813,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
43,884,chapter19_3,midterm_2,GPT3,BadSummary,"1.what is a decision tree representation of a function that maps vector of attributes values to single output value?
",1.a decision tree is a representation of a function that maps vector of attributes values to a single output value.,884
44,1763,slp_chapter4_4,midterm_2,GPT3,Fewshot,"What is the same as saying that the naive bayes probability of an instance belonging to class ""c"" is the sum of the individual class-specific unigram language model probabilities?
",The same as saying that the naive bayes probability of,1763
45,2098,chapter6_5,midterm_1,T5,GoodSummary,How can we reduce the search space?,symmetry-breaking constraints,2098
46,3811,chapter3_3,midterm_1,T5,Fewshot,What is the interior region of a node called?,expanded,3811
47,3545,slp_chapter4_2,midterm_2,T5,Zero,What is the machine learning model that we will be using to generate our summaries?,parametric model,3545
48,2227,chapter22_1,midterm_2,T5,GoodSummary,What type of reinforcement learning is Q-learning?,Action-utility learning,2227
49,5596,chapter_2_3_2,1st midterm,T5,From raw text,How do we illustrate the ideas?,analyze several task environments,5596
50,3514,chapter19_3,midterm_2,T5,Zero,What method has the decision tree algorithm stop generating nodes when there is no good attribute to split on?,Early stopping,3514
51,806,chapter7_2,midterm_1,GPT3,BadSummary,"What is the wumpus world of rooms connected by passages, same setup as r2d2 problem?
",The wumpus world is a 4 x 4 grid of rooms with walls.,806
52,202,slp_chapter4_1,midterm_2,GPT3,Best Condition - with Davinci,"What is a probabilistic classifier?
",A probabilistic classifier is a classifier that returns the class cˆ which has the maximum posterior probability given the document.,202
53,765,chapter5_1,midterm_1,GPT3,BadSummary,"What is a terminal test?
",The terminal test is the test used to determine if a player has reached the end of the game.,765
54,2867,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
55,715,slp_chapter6_10,midterm_2,GPT3,GoodSummary,"What is the difference between a high context and a first order occurrence?

","A high context is one in which the context window size is greater than words, while a first order occurrence is one in which the context window size is less than words.",715
56,513,chapter22_4,midterm_2,GPT3,GoodSummary,"What is the most important aspect of generalizing from states we have visited to states we have not visited?
",The most important aspect of generalizing from states we have visited to states we have not visited is that it allows us to improve the performance of our agent.,513
57,3653,slp_chapter7_5,midterm_2,T5,Zero,What are words represented by in a feedforward neural language model?,embeddings,3653
58,2216,chapter17_3,midterm_2,T5,GoodSummary,What is the task of choosing best option under similar conditions called?,Selection Problem,2216
59,6044,chapter_27_1_2,1st midterm,GPT3,From GPT-3 generated summary,"What are some examples of x?
","Some examples of x include being kind, resourceful, beautiful, friendly, having initiative, having a sense of humor, being able to tell right from wrong, making mistakes, falling in love, enjoying strawberries and cream, making someone fall in love with it, learning from experience, using words properly, being the subject of its own thought, having as much diversity of behavior as man, and doing something really new.",6044
60,428,chapter16_2,midterm_1,GPT3,GoodSummary,"What is orderability?
",Orderability is the constraint that states that a decision maker must prefer a lottery or rate them equal.,428
61,1181,chapter22_2,midterm_2,GPT3,Zero,"What is direct utility estimation?
",Direct utility estimation is a technique that estimates the expected utility of successor states.,1181
62,1343,slp_chapter5_2,midterm_2,GPT3,Zero,"What are common supervised classification techniques?
","Common supervised classification techniques include logistic regression, decision trees, and neural networks.",1343
63,1301,slp_chapter4_3,midterm_2,GPT3,Zero,"What is the difference between a naive bayes classifier and a maximum entropy classifier?
","A naive bayes classifier is a classifier that assumes that the features are conditionally independent given the class, while a maximum entropy classifier is a classifier that assumes that the features are conditionally dependent given the class.",1301
64,5075,chapter_27_1_1,1st midterm,GPT3,From raw text,"What is the embodied cognition approach?
",The embodied cognition approach is an,5075
65,669,slp_chapter7_3,midterm_2,GPT3,GoodSummary,"What is a feedforward network?
","A feedforward network is a multilayer network in which the units are connected with no cycles; the outputs from units in each layer
are passed to units in the next higher layer, and no outputs are passed back to lower layers.",669
66,2891,chapter16_2,midterm_2,T5,BadSummary,What is the term for an agent who is indifferent between two lotteries A and B?,SUBSTITUTABILITY,2891
67,520,chapter12_2,midterm_2,GPT3,GoodSummary,"What is the sample space?
",The set of all worlds called the sample space.,520
68,6153,chapter_3_3_1,1st midterm,GPT3,From GPT-3 generated summary,"What is best-first search?
",Best-first search is an algorithm that chooses a node on the frontier with the minimum value and expands it.,6153
69,5163,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
70,5880,chapter_3_3_3,1st midterm,T5,From raw text,What path is redundant?,second path,5880
71,1048,chapter3_3,midterm_1,GPT3,Zero,"What is a tree like search algorithm?
",A tree like search algorithm is a search algorithm that does not check for redundant paths.,1048
72,6307,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,Retreating from a requirement of perfection is not just a question of what?,being fair to agents,6307
73,2721,slp_chapter6_12,midterm_2,T5,GoodSummary,Analogy tasks can suffer from what?,variability,2721
74,6335,chapter_2_4,1st midterm,T5,From GPT-3 generated summary,What does the program output actions to?,actuators,6335
75,1120,chapter7_1,midterm_1,GPT3,Zero,"What is a successful agent?
",A successful agent has both declarative and procedural setup.,1120
76,5196,chapter_3_3_4,1st midterm,GPT3,From raw text,"
",To,5196
77,598,chapter19_5,midterm_2,GPT3,GoodSummary,"What is computational learning theory?
","Computational learning theory lies in middle of ai, statistics, and theoretical computer science.",598
78,3441,SLP_chapter3_4,midterm_2,T5,Zero,What is a statistical model that is dependent on the training corpus?,The n-gram model,3441
79,4361,chapter27_2,midterm_1,T5,Best Condition - with Davinci,What is the argument that a computer behaves the same way as a subject does not understand Chinese called?,Chinese room argument,4361
80,1607,chapter16_2,midterm_2,GPT3,Fewshot,"What is continuity?
",Continuity is the requirement that preferences be continuous.,1607
81,479,chapter16_1,midterm_2,GPT3,GoodSummary,"What does the utility function apply to?
","The utility function applies to very next state, so it can be used to guide actions step by step.",479
82,1862,slp_chapter6_3,midterm_2,GPT3,Fewshot,"What is the relationship between the cells and the words and documents in a term-document matrix?
",The cells in a term-document matrix represent how often a word occurs in a document.,1862
83,348,slp_chapter6_12,midterm_2,GPT3,Best Condition - with Davinci,"What is the dataset for quantifying similarity?
","The dataset for quantifying similarity is simlex-99which is a more difficult dataset that quantifies similarity (cup, mug) rather than relatedness (cup, coffee), and including both concrete and abstract adjective, noun and verb pairs.",348
84,4389,chapter2_3,midterm_1,T5,Best Condition - with Davinci,What is one in which the agents compete with each other?,competitive multiagent environment,4389
85,585,chapter19_2,midterm_2,GPT3,GoodSummary,"How can we determine a model/hypothesis that approximates true function f(x)?
","We cannot get a consistent hypothesis with a continuous function, so we try to get a \bets-fit function.",585
86,235,slp_chapter4_9,midterm_2,GPT3,Best Condition - with Davinci,"What is the alternative hypothesis?
",The alternative hypothesis is h1.,235
87,6031,chapter_27,1st midterm,GPT3,From GPT-3 generated summary,"What is the safety of ai?
","The safety of ai includes questions about what to do if ai poses a threat to humanity, and the",6031
88,4688,chapter12_5,midterm_2,T5,Best Condition - with Davinci,What is the simple case of applying Bayes' rule?,when there is a cause effect relationship between the query variable and the event,4688
89,5183,chapter_3_3_3,1st midterm,GPT3,From raw text,"3.3.what is a repeated state in the search tree?
",3.3.a repeated state is a state that is reached by a loopy path.,5183
90,823,chapter17_1,midterm_2,GPT3,BadSummary,"What is an optimal policy?
",An optimal policy is a policy that yields the highest expected utility.,823
91,2296,chapter12_3,midterm_2,T5,GoodSummary,What can be used as a shortcut?,normalization,2296
92,922,slp_chapter4_6,midterm_2,GPT3,BadSummary,"What is the only sort of feature that a naive bayes classifier can use?
",The only sort of feature that a naive bayes classifier can use is a word feature.,922
93,3822,chapter3_3,midterm_1,T5,Fewshot,What is eliminated if followed to a few links?,short cycles,3822
94,341,slp_chapter6_11,midterm_2,GPT3,Best Condition - with Davinci,"What are embeddings?
",Embeddings are models that take linguistic features as input and produce a vector as output.,341
95,4941,slp_chapter7_1,midterm_2,T5,Best Condition - with Davinci,What is a non-linear function applied by neural units?,The activation function,4941
96,6408,chapter_3_3_3,1st midterm,T5,From GPT-3 generated summary,How much faster can a search be if redundant paths are eliminated?,a million times faster,6408
97,6077,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
98,5473,chapter_27_2_2,1st midterm,T5,From raw text,What is the definition of what?,.,5473
99,2631,slp_chapter7_4,midterm_2,T5,GoodSummary,What are words represented as?,word2vec or GloVe embeddings,2631
100,339,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
101,1657,chapter12_2,midterm_2,GPT3,Fewshot,"What is the probability associated with a proposition?
",The probability associated with a proposition is deﬁned to be the sum of the probabilities of the worlds in which it holds.,1657
102,1584,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
103,3275,chapter16_3,midterm_1,T5,Zero,What is the amount of money that a risk averse agent prefers?,certainty equivalent,3275
104,5554,chapter_2_2_3,1st midterm,T5,From raw text,What would an agent's percept sequence not tell it about?,large truck approaching at high speed,5554
105,5126,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
106,4958,slp_chapter7_3,midterm_2,T5,Best Condition - with Davinci,What are the three types of nodes in a feedforward network?,"input units, hidden units, and output units",4958
107,5291,chapter_1_1_3,1st midterm,T5,From raw text,What is not enough to generate intelligent behavior?,Rational thought,5291
108,5228,chapter_3_4_5,1st midterm,GPT3,From raw text,"What is the advantage of bidirectional search over unidirectional search?
",The advantage of bidirectional search over unidirectional search is that it can find optimal solutions faster.,5228
109,874,chapter19_1,midterm_2,GPT3,BadSummary,"What is goal that describes most desirable states?
",The goal that describes most desirable states is a description of the most desirable state of the world that an agent can achieve.,874
110,5685,chapter_2_4_2,1st midterm,T5,From raw text,When does the action not depend on the location?,when the current square is dirty,5685
111,4682,chapter12_3,midterm_2,T5,Best Condition - with Davinci,"What can be evaluated as: P(X|e) =?? P(X,e) =???? _y P(",P(X|e),4682
112,6373,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
113,31,chapter7_1,midterm_1,GPT3,Best Condition - with Davinci,"What is the agent program?
","The agent program is the program which calls the agent and tells the knowledge base what it perceives, asks what is should perform, then tells the knowledge base what action was taken.",31
114,4765,chapter13_1,midterm_2,T5,Best Condition - with Davinci,What does each node Xi have?,associated probability information,4765
115,1580,chapter7_3,midterm_1,GPT3,Fewshot,"What is an inference procedure?
",An inference procedure is a procedure that takes a set of sentences as input and produces another sentence as output.,1580
116,2915,chapter22_3,midterm_2,T5,BadSummary,What allows set of possible models H without assigning probs to each?,Robust control theory,2915
117,3110,slp_chapter6_11,midterm_2,T5,BadSummary,What becomes more gendered in embedding space than they were in the input text statistics?,gendered terms,3110
118,2361,chapter13_2,midterm_2,T5,GoodSummary,A Bayesiant network is a correct representation of the domain only if each node is what?,conditionally independent,2361
119,3024,slp_chapter5_1,midterm_2,T5,BadSummary,What is sigmod?,objective function for learning,3024
120,5146,chapter_2_4_6,1st midterm,GPT3,From raw text,"What is the most important distinction between the learning element and the performance element?
","The most important distinction between the learning element and the performance element is that the former is responsible for making improvements, and the latter is responsible for selecting external actions.",5146
121,92,chapter22_3,midterm_2,GPT3,Best Condition - with Davinci,"What is the agent's plan of action in each step?
",The agent's plan of action in each step is to obtain the utility function u by one-step look-ahead to maximize expected utility.,92
122,6245,chapter_27_1_3,1st midterm,T5,From GPT-3 generated summary,What theory applies to computers?,Gödel's incompleteness theorem,6245
123,6049,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
124,6365,chapter_2_4_6,1st midterm,T5,From GPT-3 generated summary,What is needed when trying to learn a reflex component or a utility function?,Information from the external standard,6365
125,6026,chapter_1_1_4,1st midterm,GPT3,From GPT-3 generated summary,"What is the main difference between the rational agent approach and the ""laws of thought"" approach to ai?
","The main difference between the rational agent approach and the ""laws of thought"" approach to ai is that the rational agent approach is more general, focusing on correct inferences, while the ""laws of thought"" approach is more amenable to scientific development.",6026
126,3449,SLP_chapter3_5,midterm_2,T5,Zero,What smoothing method is used to keep language models from assigning zero probability to unseen events?,Kneser-Ney,3449
127,5174,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
128,1127,chapter7_2,midterm_1,GPT3,Zero,"1?
",The ,1127
129,1863,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
130,6076,chapter_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is an example of a human agent?
","A human agent is an organism that perceives its environment through sensors such as eyes, ears, and touch and acts upon that environment through actuators such as arms and legs.",6076
131,312,slp_chapter6_1,midterm_2,GPT3,Best Condition - with Davinci,"What is word similarity?
",Word similarity is when two words have a similar but not identical meaning. they are not substitutable for one another in every sentence.,312
132,6211,chapter_1_1_1,1st midterm,T5,From GPT-3 generated summary,Why have researchers devoted little effort to passing the Turing test?,study the underlying principles of intelligence,6211
133,4756,SLP_chapter3_7,midterm_2,T5,Best Condition - with Davinci,What does stupid backoff give up on to make language model true probability distribution?,trim,4756
134,5416,chapter_27_1_4,1st midterm,T5,From raw text,What did Turing think could pass the Turing test by the year 2000?,a computer with a storage of a billion units,5416
135,3491,chapter19_1,midterm_2,T5,Zero,What is when an agent learns patterns in the input without explicit feedback?,Unsupervised learning,3491
136,3243,chapter5_3,midterm_1,T5,Zero,What is created to evaluate states and some cutoff depth?,an evaluation function,3243
137,822,chapter17_1,midterm_2,GPT3,BadSummary,"What is dynamic programming?
",Dynamic programming is a method for solving mdps that simplifies a problem by recursively breaking it into smaller pieces and remembering the optimal solutions to the pieces.,822
138,3057,slp_chapter7_6,midterm_2,T5,BadSummary,What is the term for computing the derivative of a composite function f (x) = u(v(w(x)))?,chain rule,3057
139,6275,chapter_2,1st midterm,T5,From GPT-3 generated summary,What is described in this chapter?,"basic ""skeleton"" agent designs",6275
