Accepted Tutorials

The EASSS 2018 will offer tutorials on Reinforcement and Deep Learning, Game Theory, Logics, Communication, Auctions, Negotiations, Optimization, Intelligent Search and Applications.

Agent-Based Negotiation	Reyhan Aydoğan Catholijn Jonker
Multi-Agent Reinforcement Learning and Dynamics of Learning	Daan Bloembergen Michael Kaisers
A shallow introduction to deep learning for agents	Kurt Driessens Jerry Spanakis
Auctions and Markets: Understanding Incentives for Multi-Agent Systems in the Presence of Scarcity	Aris Filos-Ratsikas Paul Tylkin
Logics for strategic reasoning in multi-agent systems	Valentin Goranko
Communication issues in multi-agent decision-making	Nicolas Maudet
Fundamentals of Reinforcement Learning	Ann Nowé Diederik M. Roijers
Introduction to Formal Argumentation Theory	Nir Oren Federico Cerutti
Epistemic Game Theory	Andrés Perea
Type-based Communication Correctness in Multi-agent Systems	Jorge A. Perez
Distributed Constraint Optimization for the Internet-of-Things	Gauthier Picard Pierre Rust
Introduction to judgment aggregation	Daniele Porello
Logics of agency	Daniele Porello Nicolas Troquard
Stable Matchings: in Theory and in Practice	Baharak Rastegari
Predicting Human Decision-Making: From Prediction to Action	Ariel Rosenfeld
Models of the Collective Behaviour of Autonomous Cars	László Z. Varga
Learning Agent Systems for a Reliable, Pro-Active Power Grid Management — Towards the AI-empowered Grid	Eric Veith
Intelligent Search Techniques	Mark Winands Cameron Browne
Agent-Based Modelling for Social Simulation	Neil Yorke-Smith