Spain

ECAI 2020

On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data

data stream processing

crowdshipping

multi-agent systems

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.

Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging

Ludii - The Ludemic General Game System

Property Invariant Embedding for Automated Reasoning

An ideal team is more than a team of ideal agents

Deciding When, How and for Whom to Simplify

Knowledge Distillation for Model-Agnostic Meta-Learning

A Logic of Explicit and Implicit Distributed Belief

New randomized strategies for the color coding algorithm

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

Outside-the-Box: Abstraction-Based Monitoring of Neural Networks

https://d3smihljt9218e.cloudfront.net/transcript/1109/subtitle/d78428c3472ef801d47813a0bad00d5b.vtt

English (automatic)

Downloads

Next from ECAI 2020

Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging

Similar lecture

In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap

.css-70qvj9{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}Downloads

Next from ECAI 2020

Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging

Similar lecture

In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap

Downloads