Autonomous Agents and Multiagent Systems: AAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers: Lecture Notes in Computer Science, cartea 10643
Editat de Gita Sukthankar, Juan A. Rodriguez-Aguilaren Limba Engleză Paperback – 26 noi 2017
The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They deal with novel ideas proposing a change in the way research is currently carried out.
| Toate formatele și edițiile | Preț | Express |
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| Paperback (2) | 317.85 lei 6-8 săpt. | |
| Springer International Publishing – 26 noi 2017 | 317.85 lei 6-8 săpt. | |
| Springer International Publishing – 26 noi 2017 | 320.55 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319716787
ISBN-10: 3319716786
Pagini: 239
Ilustrații: X, 245 p. 70 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.36 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319716786
Pagini: 239
Ilustrații: X, 245 p. 70 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.36 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
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Cuprins
Competitive Belief Propagation to efficiently solve Complex Multi-Agent Negotiations with Network Structure.- Stable Configurations with (Meta) Punishing Agents.- KILT: a modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders.- Vote Buying Through Decoy Ballots.- Efficient evaluation of influenza mitigation strategies using preventive bandits.- Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning.- Budget Limited Trust-Aware Decision Making.-Max-sum Revisited; The Real Power of Damping.- A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs.- Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents.- A MaxSAT-Based Approach to the Team Composition Problem in a Classroom.- Heuristic Data Merging for Constructing Initial Agent Populations.- NormConflict Identification using Deep Learning.- Identifying affordances for modelling second order emergent phenomena with the WIT framework.- A Personal Medical Digital Assistant Agent for Supporting Human Operators in Emergency Scenarios.
Caracteristici
Includes supplementary material: sn.pub/extras