Note: Intro -- Preface -- Organization -- Table of Contents -- eJason: An Implementation of Jason in Erlang -- 1 Introduction -- 2 Erlang -- 2.1 Functional Erlang -- 2.2 Concurrent and Distributed Erlang -- 3 Implementing Jason in Erlang -- 3.1 A Simple Running Example in Jason -- 3.2 An Overview of the Implementation -- 3.3 Translation of Jason Beliefs and Goals into Erlang -- 3.4 Implementing Jason Plans in Erlang -- 3.5 Process Orchestration and Communication -- 3.6 Representing the Jason Reasoning Cycle in Erlang -- 3.7 Jason Subset Currently Supported -- 4 Experiments -- 5 Conclusions and Future Work -- References -- Conceptual Integration of Agents with WSDL and RESTful Web Services -- 1 Introduction -- 2 Active Components Fundamentals -- 3 Web Service Integration Concept -- 3.1 Making Functionality Accessible as Web Service -- 3.2 Integrating Existing Web Services -- 4 Example Applications -- 4.1 WSDL Publishing -- 4.2 REST Publishing -- 4.3 WSDL Invocation -- 4.4 Rest Invocation -- 5 Related Work -- 6 Discussion and Current Limitations -- 7 Conclusions and Outlook -- References -- Agent Programming Languages Requirements for Programming Autonomous Robots -- 1 Introduction -- 2 Running Example -- 2.1 Analysis of the Example -- 3 Integration with Robotic Frameworks -- 4 Real-Time Reactivity -- 4.1 Sense-Plan-Act -- 4.2 Behavior-Based -- 4.3 Three Layered Architecture -- 4.4 Distributed Control Architectures -- 4.5 Real-Time APLs -- 4.6 Interrupting the Deliberation Cycle -- 4.7 Distributed BDI Architecture -- 5 Processing Sensory Events -- 6 Plan Execution Control -- 6.1 Representation of Complex Plans -- 6.2 Monitoring and Resource Management -- 7 Conclusion -- References -- An Agent-Based Cognitive Robot Architecture -- 1 Introduction -- 2 Related Work -- 3 Cognitive Robot Control Architecture -- 3.1 Overall Design of the Architecture. , 3.2 System Architecture and Components -- 3.3 Decoupled Architecture Layers -- 3.4 Knowledge Acquisition and Representation -- 3.5 Information and Control Flow -- 3.6 Synchronization of Perceptions and Actions -- 4 Navigation Task as an Example -- 5 Conclusion and Future Work -- References -- A Programming Framework for Multi-agent Coordination of Robotic Ecologies -- 1 Introduction -- 2 PEIS -- 2.1 Tuples and Meta-tuples -- 2.2 PEIS-Init -- 2.3 Action Coordination and Configuration for Robotic Ecologies -- 3 Self -OSGi -- 3.1 OSGi -- 3.2 Component and Service Based Agent Model -- 3.3 Core Implementation -- 4 Distributed Self -OSGi and PEIS Integration -- 5 Testing Tools and Examples -- 5.1 Configuration Example -- 5.2 Task Allocation Example -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Evaluation of a Conversation Management Toolkit for Multi Agent Programming -- 1 Introduction -- 2 Related Work -- 3 ACRE -- 4 Evaluation Experiment -- 4.1 Motivations -- 4.2 Scenario -- 5 FirstExperiment -- 5.1 Objective Measures -- 5.2 Subjective Assessment -- 6 Second Experiment -- 6.1 Objective Measures -- 6.2 Subjective Analysis -- 7 Comparison with Jason -- 8 Conclusions and Future Work -- 8.1 Evolution of the Trading Game -- References -- Compact and Efficient Agent Messaging -- 1 Introduction -- 2 Features of Agent Message Formats -- 3 Related Work -- 4 Format Description -- 4.1 Variable-Sized Integers -- 4.2 Boolean Values -- 4.3 Strings -- 4.4 Other Primitives -- 4.5 Complex Objects -- 4.6 Arrays -- 5 Evaluation -- 5.1 Performance -- 5.2 Compactness -- 6 Future Work and Conclusion -- References -- Query Caching in Agent Programming Languages -- 1 Introduction -- 2 Abstract Performance Model -- 3 Experimental Analysis -- 3.1 Experimental Setup -- 3.2 Experimental Results -- 4 Query Caching. , 4.1 Extending the Knowledge Representation Interface -- 4.2 Experimental Evaluation -- 5 Related Work -- 6 Conclusion -- References -- Typing Multi-agent Programs in simpAL -- 1 Introduction -- 2 Bringing Types in Agent-Oriented Programming: Desiderata -- 2.1 On the Role of Typing for Programming -- 2.2 Detecting Errors in Current APLs -- 3 Typing in -- 3.1 simpAL Overview -- 3.2 Typing Agents with Tasks and Roles -- 3.3 Typing the Environment -- 3.4 Typing the Overall Program Structure -- 4 Related Work -- 5 Concluding Remarks -- References -- Learning to Improve Agent Behaviours in GOAL -- 1 Introduction -- 2 Preliminaries -- 2.1 Agent Programming Languages -- 2.2 Reinforcement Learning -- 3 Related Work -- 4 The GOAL Agent Programming Language -- 5 Experiments -- 6 Discussion and Conclusion -- References -- The Multi-Agent Programming Contest 2012 -- 1 Introduction -- 1.1 Related Work -- 1.2 The Contest from 2005-2012 -- 2 MAPC 2012: Agents on Mars -- 2.1 The Scenario -- 2.2 Changes and Modifications to the Scenario from 2011 -- 3 The Tournament -- 3.1 Participants and Results -- 3.2 Overview of the Teams' Strategies -- 4 Interesting Simulations -- 4.1 SMADAS-UFSC vs. Python-DTU - Simulation 1 -- 4.2 SMADAS-UFSC vs. Python-DTU - Simulation 2 -- 4.3 PGIM vs. AiWYX - Simulation 1 -- 5 Summary, Conclusion and Future of the Contest -- References -- SMADAS: A Cooperative Team for the Multi-Agent Programming Contest Using Jason -- 1 Introduction -- 2 System Analysis and Design -- 3 Strategies -- 4 Software Architecture -- 5 Results -- 6 Conclusion -- References -- Reimplementing a Multi-Agent System in Python -- 1 Introduction -- 2 System Analysis and Design -- 2.1 Testing Moise -- 2.2 Agent Behaviour -- 2.3 Random Generation of the Map -- 3 Software Architecture -- 3.1 Considerations -- 3.2 Testing Using Flags -- 3.3 Code Structure and Files. , 4 Strategies, Details and Statistics -- 4.1 Getting Achievements -- 4.2 Zone Control -- 4.3 Making Decisions -- 4.4 Communication -- 5 Conclusion -- References -- Multi-Agent Programming Contest 2012 - TUB Team Description -- 1 Introduction -- 2 System Analysis and Design -- 3 Software Architecture -- 4 Strategies, Details and Statistics -- 5 Conclusion -- References -- LTI-USP Team: A JaCaMo Based MAS for the MAPC 2012 -- 1 Introduction -- 2 System Analysis and Design -- 3 Software Architecture -- 4 Strategies, Details and Statistics -- 4.1 Organisational Strategy -- 4.2 Role-Dependent Strategies -- 4.3 Coordination Strategy -- 5 Conclusion -- References -- Conquering Large Zones by Exploiting Task Allocation and Graph-Theoretical Algorithms -- 1 Introduction -- 2 System Analysis and Design -- 3 Software Architecture -- 4 Strategies, Details and Statistics -- 4.1 Task Allocation -- 4.2 Expanding Zones -- 4.3 Strategy Details -- 5 Conclusion -- References -- Author Index.