Below you will find slides and other materials that the tutors have provided.<\/p>\n
For this tutorial you need to install NetLogo Slides and other material<\/a><\/p>\n Slides<\/a><\/p>\n Slides<\/a><\/p>\n Handout 1<\/a> Handout<\/a><\/p>\n Background Information Slides of part 1 The ebook:\u00a0COMPUTATIONAL SOCIAL CHOICE<\/a> Slides<\/a><\/p>\n The Power Grid in a Nutshell<\/a> Handout 1<\/a> Slides<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Below you will find slides and other materials that the tutors have provided. Agent-Based Modelling for Social Simulation For this tutorial you need to install NetLogo (https:\/\/ccl.northwestern.edu\/netlogo\/) Slides Logics for strategic reasoning in multi-agent systems Slides and other material Multi-Agent Reinforcement Learning and Dynamics of Learning Slides Logics of agency Slides Epistemic Game Theory Handout … Continue reading Tutorial materials<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-400","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/pages\/400","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/comments?post=400"}],"version-history":[{"count":19,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/pages\/400\/revisions"}],"predecessor-version":[{"id":435,"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/pages\/400\/revisions\/435"}],"wp:attachment":[{"href":"https:\/\/project.dke.maastrichtuniversity.nl\/easss\/wp-json\/wp\/v2\/media?parent=400"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n(https:\/\/ccl.northwestern.edu\/netlogo\/<\/a>)
\nSlides<\/a><\/p>\nLogics for strategic reasoning in multi-agent systems<\/h1>\n
Multi-Agent Reinforcement Learning and Dynamics of Learning<\/h1>\n
Logics of agency<\/h1>\n
Epistemic Game Theory<\/h1>\n
\nHandout 2<\/a><\/p>\nModels of the Collective Behaviour of Autonomous Cars<\/h1>\n
Stable Matching in Theory and in Practice<\/h1>\n
\n<\/a>Slides<\/a><\/p>\nA shallow introduction to deep learning for agents<\/h1>\n
\n<\/a>A simple neural net<\/a> in python using keras
\nA simple neural net<\/a> in Matlab
\nSlides of part 2
\n<\/a>RNN (LSTM) demo: Jupyter notebook<\/a> (needs Keras\/Tensorflow), and an html version<\/a><\/p>\nCommunication issues in multi-agent decision-making<\/h1>\n
\nSlides<\/a>
\nWebpage<\/a><\/p>\nIntelligent Search Techniques<\/h1>\n
Learning Agent Systems for a Reliable, Pro-Active Power Grid Management \u2014 Towards the AI-empowered Grid<\/h1>\n
\nUse Cases for AI-empowered Smart Grid<\/a>
\nDeep Learning Basics<\/a><\/p>\nType-based Communication Correctness in Multi-agent Systems<\/h1>\n
\nHandout 2<\/a><\/p>\nIntroduction to Formal Argumentation Theory<\/h1>\n