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              [html]<thead><tr><td>22. Bertini, Del Bimbo & Torniai ( 2006 ).</td><td>23. Russell & Norvig ( 2021 ), pp. 272</td></tr><tr><td>24. Representing categories and relations : Semantic networks, description logics, inheritance ( motiving fromes, and scripts ). Reasonil ( DD2, SU2.3, 8.15.5, Poole, Macrowth & Goebel ( L995, po. 174 – 1277 ). Luger & Studelleted ( 2004</td><td>25. Representing events and time : Stuation calculus, event calculus, fluent calculus ( including solving the frame problem ): Rucseil & Norvig ( 2022. [ EU13 ). Prote, Mackworth & Graebei ( 1399, pp 201 – 298 ), Nifeston ( LI99, chipi, chpin</td></tr><tr><td>26. Causal calculus : Poole, Mackworth & Goebel ( 1599, pp. 335 – 337 )</td><td>27. Representing knowledge about knowledge : Belief calculus, modal logics : Russell & Norvig ( 2021, $ 10.4 ), Poole, Mackworth & Goebel [ 1390, pp. ZTS - 277 )</td></tr><tr><td>28. Defluid reasoning. Franee arablem, itelaxil togic, non - monotonic logics, cirrumscription, closed world association, diabutin, Puzzell & Non - sig [ 2022.30.05, P - tote, Haskersf93.6 Gyaeled [ 1088, ps 244, C924.2025.120 – 205 ],</td><td>29. Breadth of commonseroe knowledge : Lenat & Guha ( 2289 ), Introduction ), Crevier ( 1393, pp. 123 – 114 ) Myzover ; ( 2999, p. 23 ), Russell & Norway ( 2022, pp. 241.385.982 ) ( qualification problem )</td></tr><tr><td>30. Newquist ( 1994 ), p. 296.</td><td>31. Crevier ( 1993 ), pp. 204 – 208.</td></tr><tr><td>32. Russell & Norvig ( 2021 ), p. 528.</td><td>33. Automated planning : Russell & Norvig ( 2021, chpt. 11 ).</td></tr><tr><td>34. Automated decision making. Decision theory : Russell & Norvia ( 2021, chp1.16 – 18 ).</td><td>35. Classical planning : Russell & Norvig ( 2021, Section 11.2 ).</td></tr></thead><tbody><tr><td>36. Sensories or “ conformant ” planning, contingent planning, replanning ( i. k. a criline planning ): Russell & Nonvig ( 2022, Section 11.5 )</td><td>37. Uncertain preferences : Russell & Nonvig ( 2021, Section 15.7 ) Inverse reinforcement learning : Russell & Nonvig ( 2022, Section 22.6 )</td></tr><tr><td>38. Information value theory : Russell & Norvig ( 2021, Section 15.6 ).</td><td>39. Markov decision process : Russell & Norvig ( 2021, chpt. 17 ).</td></tr><tr><td>40. Game theory and multi - agent decision theory : Russell & Norvia ( 2022, chpt. 18 ).</td><td>41. Learning Russell & Norving DS22, chp 1.1b – 22, Poole, Mackworth & Groebel ( 1998, pp. BY – 480, Luger & Studelefeld ( 2004, pp. 86 – 542 ), Nilteton ( 1999, chpt. 3.3, 10.3, 17.5, 20 )</td></tr><tr><td>42. Turing ( 1950 ).</td><td>43. Solomonoff ( 1956 ).</td></tr><tr><td>44. Unsupervised learning : Russell & Norvig ( 2021, pp, ESS ) ( definition ), Russell & Norviga ( ZGZL, pp. 728 – 740 ) ( cluster analytistic ), Russell A Norwag 2022, pp, RAK – 860 ) ( eorga embedding )</td><td>45.- Supervised learning : Russsell & Norvig ( 2022, $ 13.2 ) ( Definition ), Russell & Norvigi ( 2022.139 – 20 ) ( Techniques )</td></tr><tr><td>48. Reinforcement learning : Resell & Nonvig ( 2021, chpt. 22 ), Luger & Stubblefield ( 2004, pp, 442 – 449 )</td><td>47. Transfer learning. Russell & Norvig ( 2021, pp. 281 ), The Economist ( 2016 )</td></tr><tr><td>48. “ Artificial intelligence ( AI ): What Is AI and How Does it Work C ” ( Built In *).( https :// builtin. com / artificial - interligence ), buildin. com. Retrieved SO October 2022.</td></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr></tbody>
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