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Multi-Agent Systems and Agreement Technologies

Overview of attention for book
Cover of 'Multi-Agent Systems and Agreement Technologies'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Probationary Contracts: Reducing Risk in Norm-Based Systems
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    Chapter 2 From Public Plans to Global Solutions in Multiagent Planning
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    Chapter 3 Intelligent People Flow Coordination in Smart Spaces
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    Chapter 4 Customized Document Research by a Stigmergic Approach Using Agents and Artifacts
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    Chapter 5 Collaborative Framework for Monitoring Reliability of Distributed Components of Composed Services
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    Chapter 6 Graph Patterns, Reinforcement Learning and Models of Reputation for Improving Coalition Formation in Collaborative Multi-agent Systems
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    Chapter 7 Multiagent Model for Agile Context Inference Based on Articial Immune Systems and Sparse Distributed Representations
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    Chapter 8 Factored MDPs for Optimal Prosumer Decision-Making in Continuous State Spaces
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    Chapter 9 Composing Swarm Robot Formations Based on Their Distributions Using Mobile Agents
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    Chapter 10 Group-Based Pricing to Shape Demand in Real-Time Electricity Markets
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    Chapter 11 Human Rating Methods on Multi-agent Systems
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    Chapter 12 Learning in Multi Agent Social Environments with Opponent Models
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    Chapter 13 A Particle Swarm Optimization Metaheuristic for the Blocking Flow Shop Scheduling Problem: Total Tardiness Minimization
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    Chapter 14 Towards an Agent-Based Negotiation Scheme for Scheduling Electric Vehicles Charging
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    Chapter 15 Agreement Technologies Applied to Transmission Towers Maintenance
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    Chapter 16 TugaTAC Broker: A Fuzzy Logic Adaptive Reasoning Agent for Energy Trading
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    Chapter 17 A Dialectical Approach to Enable Decision Making in Online Trading
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    Chapter 18 What Should an Agent Know Not to Fail in Persuasion?
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    Chapter 19 Argumentation-Based Hybrid Recommender System for Recommending Learning Objects
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    Chapter 20 How to Share Knowledge by Gossiping
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    Chapter 21 Identifying Malicious Behavior in Multi-party Bipolar Argumentation Debates
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    Chapter 22 Probabilistic Argumentation, a Small Step for Uncertainty, a Giant Step for Complexity
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    Chapter 23 Modeling Social Deviance in Artificial Agent Societies
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    Chapter 24 Modeling and Enforcing Semantic Obligations for Access Control
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    Chapter 25 Coupling Regulative and Constitutive Dimensions in Situated Artificial Institutions
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    Chapter 26 Trust-Based Multiagent Credit Assignment (TMCA)
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    Chapter 27 Information Sources About Hydrogeological Disasters: The Role of Trust
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    Chapter 28 Trust, Negotiations and Virtual Currencies for a Sharing Economy
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    Chapter 29 Logic and Games for Ethical Agents in Normative Multi-agent Systems
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    Chapter 30 Human-in-the-Loop Simulation of a Virtual Classroom
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    Chapter 31 Applying Agent Based Simulation to the Design of Traffic Control Systems with Respect to Real-World Urban Complexity
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    Chapter 32 Towards Smart Open Dynamic Fleets
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    Chapter 33 A Concurrent Architecture for Agent Reasoning Cycle Execution in Jason
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    Chapter 34 Hardware Architecture Benchmarking for Simulation of Human Immune System by Multi-agent Systems
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    Chapter 35 Automating Personalized Learning Through Motivation
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    Chapter 36 Agent Based Simulation to Evaluate Adaptive Caching in Distributed Databases
  38. Altmetric Badge
    Chapter 37 Analysing Incentive Strategies to Promote Participation in Crowdsourcing Systems
Overall attention for this book and its chapters
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Mentioned by

twitter
2 tweeters

Readers on

mendeley
38 Mendeley
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Title
Multi-Agent Systems and Agreement Technologies
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-33509-4
ISBNs
978-3-31-933508-7, 978-3-31-933509-4
Authors

Rodríguez, Paula, Paula Rodríguez, Stella María Heras Barberá, Javier Palanca Cámara, Néstor Duque, Vicente Javier Julian Inglada, Heras Barberá, Stella María, Palanca Cámara, Javier, Duque, Néstor, Julian Inglada, Vicente Javier

Editors

Michael Rovatsos, George Vouros, Vicente Julian

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Student > Master 8 21%
Student > Bachelor 4 11%
Researcher 4 11%
Professor 3 8%
Other 6 16%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 15 39%
Engineering 9 24%
Social Sciences 4 11%
Business, Management and Accounting 2 5%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 6 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2016.
All research outputs
#8,256,219
of 13,670,561 outputs
Outputs from Lecture notes in computer science
#3,924
of 7,336 outputs
Outputs of similar age
#133,264
of 263,626 outputs
Outputs of similar age from Lecture notes in computer science
#40
of 83 outputs
Altmetric has tracked 13,670,561 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,336 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.