What people are saying - Write a review
We haven't found any reviews in the usual places.
A robot navigation and exploration problem
Multiattribute utility theory
Implementing a planning tool based on MAUT
9 other sections not shown
action algorithm alternative decision application-specific components arbiter array of integer attribute path_length_at_most automobiles average based on multi-attribute basic attributes behaviour Bigger change blackboard system cars chapter choose coffee to 2,1 combination of weights computed condition consideration definitions corridors CPL interpreter CPL program current situation current_path deadline decision on ordering decision theory defined described destination difference independence discussed dissertation Doctor of Philosophy domains dynamic programming example procedure Figure for_each considerations Fuzzy control systems heuristics ideal value implemented increments internal map intersection learning with decision let_flow_through letter to 2,1 list of considerations list_of_utilities map_incompleteness methods minimize_wait_time modifications multi-attribute utility function multi-attribute utility theory neural networks no_frequent_stops no_long_queues optimal solution ordering deliveries overall_utility path possible problem program skeleton reinforcement learning representing requires robot example robot navigation Robot's internal separate considerations Smaller change Cancel specific stops subclass subsumption architecture utility high utility_function variables waiting weight adjustments weight functions weights and utility