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The Resource Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection : 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings

Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection : 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings

Label
Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection : 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings
Title
Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection
Title remainder
12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings
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Language
eng
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Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Series volume
v.8473
Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection : 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings
Label
Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection : 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=3093385
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Copyright
Related Contributor
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Related Agents
Related Items
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Organization -- Table of Contents -- Regular Papers -- HPLAN: Facilitating the Implementation of Joint Human-Agent Activities -- 1 Introduction -- 2 Motivation -- 3 Approach -- 3.1 Agent-Model Construction -- 3.2 Planning for Joint-Human Agent Activities -- 3.3 Stateless Q-learning to estimate Costs -- 4 Case Study -- 5 Conclusion -- References -- Reliable Multi-robot Map Merging of Inaccurate Maps -- 1 Introduction -- 2 Reliable Map Merging Method -- 2.1 Global Map Merging -- 2.2 Local Map Merging -- 2.3 Hypothesis Evaluation -- 3 Experimental Environment and Results -- 3.1 Experimental Setup -- 3.2 Experimental Result Summary -- 4 Conclusions -- References -- Task-Oriented Conversational Behavior of Agents for Collaboration in Human-Agent Teamwork -- 1 Introduction -- 2 Related Work -- 3 C2BDI Agent Architecture -- 3.1 Knowledge Organisation and Processing -- 3.2 Information State -- 4 Conversational Behavior -- 4.1 Collaborative Conversational Protocols -- 4.2 Resource Allocation between Team Members -- 4.3 Decision Making -- 5 Application Scenario -- 6 Conclusion -- References -- Agent-Based Simulation of Complex Aviation Incidents by Integrating Different Cognitive Agent Models -- 1 Introduction -- 2 Scenario -- 3 High-Level Overview of the Integrated (SA-OFS-DM) Model -- 3.1 Separate Model Constructs -- 3.2 Modelling Interaction between Functional State and Situational Awareness -- 3.3 Integration with Decision Making -- 4 Formalisation of the Integrated Model -- 5 Simulation Results -- 5.1 Simulation of a Scenario with High Task Level -- 5.2 Simulation of a Scenario with Medium Task Level -- 5.3 Relation between Task Level and Wrong Actions -- 6 Discussion -- References -- A Multi-agent Based Optimised Server Selection Scheme for SOC in Pervasive Environment -- 1 Introduction -- 2 System Model -- 3 Problem Formulation Using DCOP
  • 4 Performance Metrics of the System -- 5 Optimal Server Selection Using MAX-SUM -- 6 A Heuristic Based on Distributed Message Passing -- 7 Results and Discussion -- 8 Conclusions -- References -- Influence of Participation Rates and Service Level Differentiation on Community Driven Predictions -- 1 Introduction -- 2 Anticipatory Vehicle Routing Using Intention Propagation -- 3 Related Work -- 3.1 Anticipatory ATIS Systems -- 3.2 Multiple User Classes -- 4 Experiment Setup -- 5 Experiment Analysis -- 5.1 Travel Time Evaluation -- 5.2 Graphical Analysis of Simulation Results -- 5.3 Statistical Analysis of Simulation Results -- 6 Concluding Remarks -- References -- Anticipatory Coordination of Electric Vehicle Allocation to Fast Charging Infrastructure -- 1 Introduction -- 2 Problem Statement -- 3 Approach -- 4 Coordination Strategies -- 4.1 Anticipatory and Decentralised -- 4.2 Non-anticipatory and Centralised -- 5 Realistic Scenario -- 5.1 Road Topology -- 5.2 Traffic Model -- 5.3 Station Location Determination -- 5.4 Infrastructure Parameters -- 5.5 EV Parameters -- 6 Results -- 6.1 Waiting Times -- 6.2 Infrastructure Load -- 7 Related Work -- 8 Conclusion and Remaining Challenges -- References -- Bilateral Negotiation of a Meeting Point in a Maze -- 1 Introduction -- 2 Problem -- 3 Background -- 4 Multi-agents Decision -- 5 Bilateral Negotiation -- 6 Experiments -- 7 Conclusion -- References -- Agent Negotiation for Different Needs in Smart Parking Allocation -- 1 Introduction -- 2 Automated Negotiation for Parking Allocation -- 2.1 The Negotiation Model -- 3 The Coordinated Parking System -- 3.1 The Parking Manager Model -- 3.2 The User Agent Model -- 4 Experimental Analysis -- 4.1 Experimental Results -- 5 Conclusions -- References -- Design of Forces Driving Adaptation of Agent Organizations -- 1 Introduction
  • 2 Adaptation in Agent Organizations -- 3 Templates to Define Forces -- 3.1 Factors Stating That a Force Is Acting -- 3.2 Solutions to Face the Force -- 4 Case Study -- 5 Description of Forces at the Design Step -- 5.1 Obtaining Resources Force at the Design Time -- 5.2 Selection between Solutions -- 6 Implementation -- 7 Conclusions and Future Work -- References -- Practical Multi-Agent System Application for Simulation of Tourists in Madrid Routes with INGENIAS -- 1 Introduction -- 2 Related Works -- 3 Definition of a MAS for Tourist Simulation with INGENIAS -- 4 Adaptation of the Generated Code for the Extensive Tourist Simulation -- 5 Simulation Experimentation of Tourists in Madrid Routes -- 6 Conclusions and Future Work -- References -- Domain and Subtask-Adaptive Conversational Agents to Provide an Enhanced Human-Agent Interaction -- 1 Introduction -- 2 Our Proposed Methodology for Dialog Management -- 2.1 Proposed Statistical Methodology -- 2.2 Proposed Implementation by Means of Specific Dialog Models -- 3 Practical Application -- 4 Results of the Evaluation -- 4.1 Evaluation with a User Simulator -- 4.2 Evaluation with Real Users -- 5 Conclusions and Future Work -- References -- Dynamic Scheduling of Ready Mixed Concrete Delivery Problem Using Delegate MAS -- 1 Introduction -- 2 Case Study - Dynamic RMC Problem -- 2.1 Why Dynamic RMC? -- 2.2 Problem Description and Notation -- 2.3 Functional Requirements -- 3 Approach to Address the Dynamic RMC Problem -- 4 Simulation and Experiment Setup -- 4.1 Input Instances -- 4.2 Experiment Setup -- 5 Evaluation -- 6 Related Work -- 6.1 Ant Based Coordination Mechanisms -- 6.2 RMC Problem -- 7 Conclusion -- References -- Handling Safety-Related Non-Functional Requirements in Embedded Multi-Agent System Design -- 1 Introduction -- 2 Context -- 3 Non-Functional Requirements Capture -- 4 Illustration
  • 5 Integrating Non-Functional Requirements into Agents -- 6 Conclusion -- References -- The Multi-agent Patrolling Problem Theoretical Results about Cyclic Strategies -- 1 Introduction -- 2 Problem Formulation -- 3 Related Works -- 4 Cyclic Multi-agent Patrolling Strategies -- 5 Evaluation of Cyclic Strategies -- 6 Evaluation Algorithm -- 6.1 Algorithm -- 6.2 Empirical Comparison between AECPS and SEPS -- 7 Conclusion and Future Works -- References -- Representation of Interactions in a Multi-Level Multi-Agent Model for Cartography Constraint Solving -- 1 Introduction -- 2 Multi-Agent Approaches for Automated Generalisation -- 2.1 AGENT, CartACom and GAEL Multi-Agent Models for Generalisation -- 2.2 Unsolved Issues and New Kinds of Relations -- 3 A Multi-Level M Models to Better Handle Relations -- 3.1 Multi-model Solutions -- 3.2 A Multi-Level Multi-Agent Model: PADAWAN -- 4 Adapting AGENT and CartACom -- 4.1 Differences between Simulation and Problem Solving -- 4.2 Inversion of the Perspective -- 4.3 Behaviour of the Agents -- 5 Implementation and Results -- 6 Conclusion and Perspectives -- References -- Practical Application of Matchmaking Problem: Trainee Allocation for Teachers -- 1 Introduction -- 2 Background -- 3 Swing -- 4 Practical Application -- 4.1 Overview -- 4.2 Mapping -- 4.3 Experiments -- 5 Related Works -- 6 Conclusion -- References -- A Control Architecture of Complex Systems Based on Multi-agent Models -- 1 Introduction -- 2 Related Work -- 3 Case Study -- 4 The Architecture -- 4.1 Definition and Principles -- 4.2 Overview of the Architecture -- 5 Implementation in the Case Study -- 6 Experiments -- 6.1 Controlling the Target System -- 6.2 Multi-agent Related Issues -- 6.3 Discussion -- 7 Conclusions -- References -- Monitoring Oil Pipeline Infrastructures with Multiple Unmanned Aerial Vehicles -- 1 Introduction -- 2 Related Work
  • 3 Domain Description -- 4 Formal Model of the Problem -- 4.1 Environment Representation -- 4.2 UAV Movement -- 4.3 Utility Function -- 4.4 Multi-agent Model -- 5 Solution Approach -- 5.1 Area Decomposition -- 5.2 Iterative Algorithm -- 6 Evaluation -- 7 Conclusions -- References -- Planning When Goals Change: A Moving Target Search Approach -- 1 Introduction -- 2 Related Work -- 3 Moving Goal Planning -- 3.1 Problem Formulation -- 3.2 Algorithm -- 3.3 Implementation -- 4 Experiments and Evaluation -- 4.1 Simulation of the Goal Changes -- 4.2 Experiment Framework -- 4.3 Algorithms Comparisons on Blockworld -- 4.4 Impact of the Delay Ratio and the Heuristic -- 4.5 Performance Overview -- 5 Conclusion -- References -- Agent Clusters: The Usual vs. The Unusual -- 1 Introduction -- 2 State of the Art -- 3 Theoretical Underpinnings -- 4 Formalizing Theories: Our Algorithm -- 4.1 The Simulation Platform -- 4.2 Basic Working -- 4.3 Model 1: A Globally Driven Model -- 4.4 Model 2: A Locally Driven Model -- 5 Discussion -- 6 Conclusion -- References -- An Agent-Based Architecture to Model and Manipulate Context Knowledge -- 1 Introduction -- 2 Defining and Modelling the Human-Centric Context -- 2.1 What Is a Human-Centric Context? -- 2.2 The Four Cornerstones of the Human-Centric Context Model -- 2.3 Working with the Human-Centric Context -- 3 The Role of Agents in Working with the Human-Centric Context -- 3.1 Motivations for Using an Agent-Based Approach for CAPE -- 3.2 A Multilayered Architecture of CAPE -- 3.3 Notes on the CAPE Multiagent System (Layer 2) -- 3.4 Notes on the Eve Agent Platform (Layer 3) -- 3.5 Example of a Use Case: Emergency Management -- 4 Conclusions -- References -- Practical Applications of the Web-Based Agent Platform 'Eve' -- 1 Introduction -- 2 Summary of the Main Features of Eve -- 2.1 Conceptual Architecture
  • 2.2 What Is an Eve Agent?
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1 online resource (406 pages)
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online
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9783319075518
Media category
computer
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rdamedia
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c
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