Multiagent System Technologies, 2014 12th German Conference, MATES 2014, Stuttgart, Germany, September 23-25, 2014, Proceedings Lecture Notes in Artificial Intelligence Series

This book constitutes the proceedings of the 12th German Conference on Multiagent System Technologies, MATES 2014, held in Stuttgart, Germany, in September 2014. The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 31 submissions. The book also contains 2 invited talks. The papers are organized in topical sections named: mechanisms, negotiation, and game theory; multiagent planning, learning, and control; and multiagent systems engineering, modeling and simulation.

Social Choice Theory as a Foundation for Multiagent Systems.- A Boolean Game Based Modeling of Socio-Technical Systems.- Evaluating Strategies for Penny Auctions Using Multi-Agent Systems.- Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games.- Using Multi-attribute Combinatorial Auctions for Resource Allocation.- A Negotiation-Based Genetic Framework for Multi-Agent Credit Assignment.- Agent-Based Concepts for Manufacturing Automation.- Orchestrating the Sequential Execution of Tasks by a Heterogeneous Set of Asynchronous Mobile Agents.- A Conceptual Framework of a Decision Support System for Operational Dispatching of Agricultural Bulk Goods – An Agent-Based Approach.- Planning with Numeric Key Performance Indicators over Dynamic Organizations of Intelligent Agents.- Employing Automatic Temporal Abstractions to Accelerate Utile Suffix Memory Algorithm.- The Effects of Variation on Solving a Combinatorial Optimization Problem in Collaborative Multi-Agent Systems.- Complexity Measurement of Multi-Agent Systems.- Extensible Java EE-based Agent Framework in Clustered Environments.- Programming BDI Agents with Pure Java.- AGADE: How Individual Guidance Leads to Group Behaviour and How This Can Be Simulated.- A Tree-Based Context Model to Optimize Multiagent Simulation.- Agent-Based Modeling and Simulation of the Emotional and Behavioral Dynamics of Human Civilians during Emergency Situations.