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Preview of Planning Exercises
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Summary

Exercise 5.1:
(a) on-set of IJo1K: {b, c}
(b) state s: {a, b, c, d, e}
(c) state s': {a, b, c, d, ¬e}
(d) optimal plan: [o1, o2, o3, o4]
(e) delete relaxation Π+: same as Π but without preconditions
(f) optimal relaxed plan: [o1, o2, o3, o4]

Exercise 5.2:
(a) Π not in positive normal form: o2 has conditional effect
(b) relaxed task graph: visual representation of actions and states
(c) Π relaxed solvable: yes
(d) Π solvable: yes

Exercise 5.3:
(a) most conservative valuation: implemented method
(b) is goal relaxed reachable: implemented method, A* search results
(c) weighted most conservative valuation: implemented method
(d) additive cost of goal: implemented method, heuristic values

Exercise 5.4:
(a) hmax costs: I (6), a (5), b (4), c (3), d (2), γ (0), hmax(I) = 6
(b) hadd costs: I (8), a (7), b (6), c (5), d (4), γ (0), hadd(I) = 8
(c) best achievers: o1, o2, o3, hFF(I) = 6

Exercise 5.5:
hFF recommended for optimal planning algorithm due to its accuracy and efficiency.

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Description

Exercise 5.1:
(a) on-set of IJo1K: {b, c}
(b) state s: {a, b, c, d, e}
(c) state s': {a, b, c, d, ¬e}
(d) optimal plan: [o1, o2, o3, o4]
(e) delete...

Technical Information

  • File Format: PDF
  • File Size: 192 KB
  • Pages: 4
  • Language: EN
  • Total Downloads: 129
  • Last Updated: 16 hours ago

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