带来 发表于 2025-3-23 13:21:20
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Using Global Constraints for Local Search,Our agents need to adapt their behavior in real time to new situations. Conventional refinement-based constraint programming techniques are not suitable for these requirements. Thus, as discussed in Sect. 1.4.3, our agents will be based on local search. This chapter presents a technique to combine local search with constraint programming.小官 发表于 2025-3-24 12:56:04
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Choice Randomization,A lot of decisions that are made during an agent’s behavior computation include randomized choices (e.g., see Chap. 2 and 5). This chapter argues in favor of a “fair” random choice and points out that the computation of an alternative’s utility should be focused instead of empirically tuning choice parameters of less informed selection methods.scoliosis 发表于 2025-3-25 00:52:57
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