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CS 3600 robot
创建日期：2024-06-28 15:51:26
标签： CS 3600
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Question 1. (2 pts.) Match each AI problem description to the class of technique best suited to the problem by entering the letter corresponding to the best technique into the blank. You will not use a technique more than once. You do not need to solve the problems.

(i.) A robot must navigate a collapsed mine looking for survivors. If it falls down a shaft it will be destroyed. Air breezes are detectable next to most shafts, but breezes aren’t always detected even when they are present. The rough terrain means that the robot’s movements are unreliable.

(ii.) The traffic on I-85 is unobservable from my office, but I would like to infer the probability of a traffic jam by observing the amount of honking horns. Of course, people honk their horns for lots of reasons. You also know that traffic is influenced by rain, sporting events, and time of day. You also know that once the traffic is jammed it tends to stay jammed, and if there is no traffic jam it can suddenly become jammed.

(iii.) Infer the probability that a patient has colon cancer without running expensive tests. You are able to make direct observations of symptoms:
diarrhea, fatigue, and weight loss. The probability of this cancer is affected by the city you live in, your diet, and genetic factors.

(iv.) Suppose you need to assemble a piece of Ikea furniture but lost the instructions. Find a sequence of operations that transform the pile of parts into fully assembled furniture. Assume the problem is fully observable and that each operation cannot fail.

(v). Classifying rodents found on campus by species. There are 3 types of rodents (rat, shrew, or,mouse) that can be identified by inspecting size,color, tail length, whisker length, and size of front teeth. You must consider that any of these attributes can take on a range of values (e.g., a baby rat could be the size of a full-grown mouse).

(vi). An agent that can play tic-tac-toe against a 6-year old child. The child can be assumed to play completely randomly, meaning it has equal chance of marking any open cell.

(a) Perceptron
(b) A*
(c) Markov decision process
(d) Partially-observable MDP
(e) Dynamic Bayesian network
(f) Bayesian inference
(g) Simulated annealing

Question 2. Suppose a person named Zeb who is a US citizen is playing a massive-multiplayer fantasy role-playing game made by a US company. The game company has developed a new AI system that uses a neural network trained on a massive amount of text from the internet to create a dialogue system so that players can talk with virtual, AI-controlled players. Included in this data is financial investing discussions from a social media platform called Reddit that allows anyone to talk to anyone else about any topic. The dialogue system is still experimental and players must agree to opt in. Zeb has been offered the terms of service and has opted in. Further,Zeb talks to an AI-controlled character who recommends investing in a particular stock. Zeb ends up losing a large amount of money. Who can Zeb hold liable?

2.a. (1 point) Give one entity (including the possibility of the AI system itself) that might be held liable in the US legal system. Provide a justification.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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