Αγαπητά Μέλη της ΑκαδημαΪκής Κοινότητας του ΓΠΑ,
Μια ενδιαφέρουσα σειρά Θερινών Σχολείων, σε θέματα σχετικά με την «Τεχνητή Νοημοσύνη», θα λάβει χώρα στην Αθήνα, κατά το διάστημα 15 – 26 Ιουλίου 2024.
Σας προσκαλούμε να εκδηλώσετε το ενδιαφέρον σας για συμμετοχή στο συγκεκριμένο Θερινό Σχολείο!
ESSAI 2024 registrations are open! https://essai2024.di.uoa.gr/
ESSAI 2024 will be a super exciting summer school in beautiful Athens!
30 week-long courses and 11 two hour long ACAI advanced tutorials in all areas of AI, given by top lecturers from all over the world. There will also be student poster sessions and keynotes. Don't miss it! https://essai2024.di.uoa.gr/schedule.html
Registration is now open at https://essai2024.di.uoa.gr/registration.html
Participants can register for one week only or for the whole school. There is also the option of attending the schools remotely.
The provisional schedule of the school is available at https://essai2024.di.uoa.gr/schedule.html
Fellowships funded by EurAI covering registration will be offered to 30 selected students. Details are available at https://essai2024.di.uoa.gr/EurAI-travel-grants.html
If you are affiliated with an organization which is a member of the TAILOR Network of Excellence (https://tailor-network.eu/), you will be able to attend with a free registration.
If you have any questions, please reach out to the Local Chair, Professor Manolis Koubarakis at koubarak@di.uoa.gr
See you in Athens!
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Μεταξύ των ποικίλων γνωστικών αντικειμένων, περιλαμβάνεται και η αυτοτελής ενότητα “SELF-GOVERNING MULTI-AGENT SYSTEMS- Introductory Course”.
Abstract:
Self-organising multi-agent systems are a powerful engineering paradigm for developing cyber-physical systems using distributed computational intelligence. Applications include, amongst others, smart grids, ad hoc networks, cloud computing, and information processing. However, basing agent-behaviour on voluntary compliance with conventional rules, that can be re-negotiated and modified at run-time, produces several challenges in self-governance. This includes knowledge management, enforceability, social influence, collective action, and sustainability.
There are also some well-known political problems such as the “iron law of oligarchy”, the “paradox of self-amendment”, and path dependency to be addressed. In this inter-disciplinary course, students will learn the foundations of self-organising multi-agent systems, and understand deep issues concerning self-governance and ‘democracy’. They will be able to apply concepts and theories from philosophy, psychology and political science, in order to specify learning and reasoning algorithms, and to code social simulators. The implications for self-governing socio-technical systems combining human and computational intelligence are also discussed.
Prerequisites:
The expected level of attendees would be graduate students in whichever year, and post-doctoral research assistants. There are no prerequisites, although some background in the basics of Artificial Intelligence (knowledge representation in computational logic, algorithms for machine reasoning and machine learning) would be helpful, but are not essential.
Some background in distributed systems would also be helpful, but again is not essential.
Με εκτίμηση,
ΤΜΗΜΑ ΔΙΕΘΝΩΝ ΚΑΙ ΔΗΜΟΣΙΩΝ ΣΧΕΣΕΩΝ ΓΠΑ
