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Titlebook: Agents and Artificial Intelligence; 7th International Co Béatrice Duval,Jaap van den Herik,Joaquim Filipe Conference proceedings 2015 Sprin

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51#
發(fā)表于 2025-3-30 10:16:53 | 只看該作者
52#
發(fā)表于 2025-3-30 13:11:36 | 只看該作者
A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Desires with Changing Inte and preferences can be set effectively and (iii) goals and preferences can be satisfied even while dealing with stochastic actions and perceptions. We believe that the proposed architecture furthers the theory of high-level autonomous agent reasoning.
53#
發(fā)表于 2025-3-30 19:44:28 | 只看該作者
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發(fā)表于 2025-3-30 22:11:06 | 只看該作者
Machine Breakdown Recovery in Production Scheduling with Simple Temporal Constraintsares the proposed algorithms to the model using the mosek optimizer. The scheduling model is motivated by the FlowOpt project, which is based on Temporal Networks with Alternatives and supports simple temporal constraints between the activities.
55#
發(fā)表于 2025-3-31 01:45:40 | 只看該作者
56#
發(fā)表于 2025-3-31 05:13:23 | 只看該作者
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發(fā)表于 2025-3-31 09:53:20 | 只看該作者
58#
發(fā)表于 2025-3-31 15:46:28 | 只看該作者
Speeding up Planning in Multiagent Settings Using CPU-GPU Architecturesical models for multiagent planning. Beyond parallelizing the standard Bayesian inference and the computation of decisions’ expected utilities, we also solve the other agents behavioral models in a parallel manner. The GPU-based approach provides significant speedup on two benchmark problems.
59#
發(fā)表于 2025-3-31 21:14:04 | 只看該作者
0302-9743 ocus on multi-agentsystems and software platforms; distributed problem solving and distributed AIin general; knowledge representation; planning; learning; scheduling; perception;reactive AI systems; and evolutionary computing..978-3-319-27946-6978-3-319-27947-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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