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ECAI 2020

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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.

Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints

Step-wise Explanations of Constraint Satisfaction Problems

MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm

Anomaly Detection Forest

A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation

Evaluating Multimodal Representations on Visual Semantic Textual Similarity

Exhaustive search of priority rules for on-line scheduling

Inequity Aversion Pricing in Multi-Unit Markets

Explaining Non-Acceptability in Abstract Argumentation

The Quality of Content Publishing in the Digital Era

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Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints

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Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints

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Live Simulations

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