Spain

ECAI 2020

The Quality of Content Publishing in the Digital Era

price of anarchy

pure nash equilibria

hotelling model

facility location games

content publishing

AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). The aim of the joint conference is to provide a single, high-profile, internationally-respected archival forum for scientific research in the theory and practice of autonomous agents and multi-agent systems.

Browse keynotes, discussions, panels and over 300 presentations.


AAMAS 2020

AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). 

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Minimality and Comparison of Sets of Multi-Attribute Vectors

Voting Rules from Random Relations

Auction Description Language (ADL): a General Framework for Representing Auction-based Markets

Comparing Topic-Aware Neural Networks for Bias Detection of News

The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections.

Verification of Neural Networks: Enhancing Scalability through Pruning

Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm

Applying the Closed World Assumption to SUMO-based FOL Ontologies for Effective Commonsense Reasoning

Group Behavior Recognition Using Attention- and Graph-Based Neural Networks

How Much Knowledge is in a Knowledge Base? Introducing Knowledge Measures (Preliminary Report)

https://d3smihljt9218e.cloudfront.net/transcript/1079/subtitle/4da5695fdab281777c13fa6ba0fb36ab.vtt

English (automatic)

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Minimality and Comparison of Sets of Multi-Attribute Vectors

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Next from ECAI 2020

Minimality and Comparison of Sets of Multi-Attribute Vectors

Similar lecture

The Price of Anarchy of Self-Selection in Tullock Contests

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