Spain

ECAI 2020

Robot self other distinction active inference meets neural networks learning in a mirror

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 of Combined Qualitative Constraint Networks

SI-AGAN: Spatial Interpolation with Attentional Generative Adversarial Networks for Environment Monitoring

You Shouldn’t Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods

Maximal Correlation: An Alternative Criterion for Training Generative Networks

Automated Verification of Social Law Robustness for Reactive Agents

Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning

ST-MFM: A Spatiotemporal Multi-modal Fusion Model for Urban Anomalies Prediction

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

Semantic Point Completion Network for 3D Semantic Scene Completion

Learning Class-based Graph Representation for Object Detection

https://d3smihljt9218e.cloudfront.net/transcript/1767/subtitle/08a31a7372acbeda87f0bca4b5048f6f.vtt

English (automatic)

Robot self other distinction active inference meets neural networks learning in a mirror

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Minimality of Combined Qualitative Constraint Networks

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Robot self other distinction active inference meets neural networks learning in a mirror

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Next from ECAI 2020

Minimality of Combined Qualitative Constraint Networks

Similar lecture

Optimal Swarm Strategy for Dynamic Target Search and Tracking

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads