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PRIMA 2018: Principles and Practice of Multi-Agent Systems

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Cover of 'PRIMA 2018: Principles and Practice of Multi-Agent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling a Real-Case Situation of Egress Using BDI Agents with Emotions and Social Skills
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    Chapter 2 Discovering Emergent Agent Behaviour with Evolutionary Finite State Machines
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    Chapter 3 Realization of Two Types of Compact City - Street Activeness and Tramway -
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    Chapter 4 Multi Agent Flow Estimation Based on Bayesian Optimization with Time Delay and Low Dimensional Parameter Conversion
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    Chapter 5 Vector Representation Based Model Considering Randomness of User Mobility for Predicting Potential Users
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    Chapter 6 Heterogeneous Teams for Homogeneous Performance
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    Chapter 7 Solving Multiagent Constraint Optimization Problems on the Constraint Composite Graph
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    Chapter 8 Bounded Approximate Algorithm for Probabilistic Coalition Structure Generation
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    Chapter 9 Robust Coalition Structure Generation
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    Chapter 10 An Anytime Algorithm for Simultaneous Coalition Structure Generation and Assignment
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    Chapter 11 Cost Sharing Security Information with Minimal Release Delay
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    Chapter 12 Fast Algorithms for Computing Interim Allocations in Single-Parameter Environments
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    Chapter 13 On Existence, Mixtures, Computation and Efficiency in Multi-objective Games
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    Chapter 14 Student-Project-Resource Allocation: Complexity of the Symmetric Case
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    Chapter 15 Repeated Triangular Trade: Sustaining Circular Cooperation with Observation Errors
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    Chapter 16 Accountability and Responsibility in Agent Organizations
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    Chapter 17 Runtime Norm Revision Using Bayesian Networks
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    Chapter 18 A Deep Reinforcement Learning Approach for Large-Scale Service Composition
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    Chapter 19 Narrowing Reinforcement Learning: Overcoming the Cold Start Problem for Personalized Health Interventions
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    Chapter 20 Abstract Argumentation / Persuasion / Dynamics
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    Chapter 21 On Generating Explainable Plans with Assumption-Based Argumentation
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    Chapter 22 A Temporal Planning Example with Assumption-Based Argumentation
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    Chapter 23 Progressive Inference Algorithms for Probabilistic Argumentation
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    Chapter 24 Computing Preferences in Abstract Argumentation
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    Chapter 25 Notions of Instrumentality in Agency Logic
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    Chapter 26 Augmented Reality for Multi-agent Simulation of Air Operations
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    Chapter 27 Abstracting Reinforcement Learning Agents with Prior Knowledge
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    Chapter 28 A Multi-modal Urban Traffic Agent-Based Framework to Study Individual Response to Catastrophic Events
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    Chapter 29 Dialogue Games for Enforcement of Argument Acceptance and Rejection via Attack Removal
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    Chapter 30 Learning Strategic Group Formation for Coordinated Behavior in Adversarial Multi-Agent with Double DQN
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    Chapter 31 Personalization of Health Interventions Using Cluster-Based Reinforcement Learning
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    Chapter 32 Using Generative Adversarial Networks to Develop a Realistic Human Behavior Simulator
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    Chapter 33 A Deontic Argumentation Framework Based on Deontic Defeasible Logic
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    Chapter 34 Simulations vs. Human Playing in Repeated Prisoner’s Dilemma
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    Chapter 35 Adaptive Budget Allocation for Sequential Tasks in Crowdsourcing
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    Chapter 36 Helping Forensic Analysts to Attribute Cyber-Attacks: An Argumentation-Based Reasoner
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    Chapter 37 Agent33: An Automated Negotiator with Heuristic Method for Searching Bids Around Nash Bargaining Solution
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    Chapter 38 Effect of Viewing Directions on Deep Reinforcement Learning in 3D Virtual Environment Minecraft
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    Chapter 39 A Study of Relaxation Approaches for Asymmetric Constraint Optimization Problems
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    Chapter 40 Sensor Placement for Plan Monitoring Using Genetic Programming
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    Chapter 41 Qualitative-Based Possibilistic $$\mathcal {EL}$$ Ontology
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    Chapter 42 FastVOI: Efficient Utility Elicitation During Negotiations
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    Chapter 43 An Agent-Based Approach to Simulate Post-earthquake Indoor Crowd Evacuation
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    Chapter 44 A Template System for Modeling and Verifying Agent Behaviors
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    Chapter 45 Meta-Argumentation Frameworks for Multi-party Dialogues
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    Chapter 46 Resource-Driven Substructural Defeasible Logic
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    Chapter 47 Decentralized Multi-agent Patrolling Strategies Using Global Idleness Estimation
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    Chapter 48 A Multi-agent Simulator Environment Based on the Robot Operating System for Human-Robot Interaction Applications
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    Chapter 49 Agent Based Simulation for Evaluation of Signage System Considering Expression Form in Airport Passenger Terminals and Other Large Facilities
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    Chapter 50 Improving Route Traffic Estimation by Considering Staying Population
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    Chapter 51 Proposal of Detour Path Suppression Method in PS Reinforcement Learning and Its Application to Altruistic Multi-agent Environment
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    Chapter 52 An Environment for Combinatorial Experiments in a Multi-agent Simulation for Disaster Response
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    Chapter 53 Time-Series Predictions for People-Flow with Simulation Data
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    Chapter 54 Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems
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    Chapter 55 Better Collective Learning with Consistency Guarantees
Attention for Chapter 41: Qualitative-Based Possibilistic $$\mathcal {EL}$$ Ontology
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Chapter title
Qualitative-Based Possibilistic $$\mathcal {EL}$$ Ontology
Chapter number 41
Book title
PRIMA 2018: Principles and Practice of Multi-Agent Systems
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-03098-8_41
Book ISBNs
978-3-03-003097-1, 978-3-03-003098-8
Authors

Rym Mohamed, Zied Loukil, Zied Bouraoui, Mohamed, Rym, Loukil, Zied, Bouraoui, Zied

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Engineering 1 100%