Autonomous Agents and Multiagent Systems: Lecture Notes in Computer Science, cartea 10643
Editat de Gita Sukthankar, Juan A. Rodríguez-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.
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Specificații
ISBN-13: 9783319716787
ISBN-10: 3319716786
Pagini: 256
Ilustrații: X, 245 p. 70 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319716786
Pagini: 256
Ilustrații: X, 245 p. 70 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
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.