PRE2022 3 Group12: Difference between revisions
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==Literature:== | ==Literature:== | ||
<u>Card games and AI</u> | <u>'''Card games and AI'''</u> | ||
Summary: | '''Policy Based Inference in Trick-Taking Card Games''' | ||
Summary: | |||
Reference: D. Rebstock, C. Solinas, M. Buro and N. R. Sturtevant, "Policy Based Inference in Trick-Taking Card Games," 2019 IEEE Conference on Games (CoG), London, UK, 2019, pp. 1-8, doi: 10.1109/CIG.2019.8848029. | Reference: D. Rebstock, C. Solinas, M. Buro and N. R. Sturtevant, "Policy Based Inference in Trick-Taking Card Games," 2019 IEEE Conference on Games (CoG), London, UK, 2019, pp. 1-8, doi: 10.1109/CIG.2019.8848029. | ||
A Social Robot as a Card Game Player | |||
'''A Social Robot as a Card Game Player''' | |||
Summary: | Summary: | ||
Reference: | Reference: Correia, F., Alves-Oliveira, P., Ribeiro, T., Melo, F., & Paiva, A. (2021). A Social Robot as a Card Game Player. ''Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment'', ''13''(1), 23-29. <nowiki>https://doi.org/10.1609/aiide.v13i1.12936</nowiki> | ||
<u>Object recognition</u> | <u>Object recognition</u> | ||
Revision as of 12:46, 11 February 2023
Problem Statement:
Society is currently faced with an ageing population. By around 2040, it is expected that one-quarter of the population will be aged 65 years or older. Compared to today, the size of this group of people will have increased by about 1.2 million people by 2040, all while the number of people working (in the age group 20 to 64 years old) will stay roughly the same. [1] This means a large shortage of healthcare workers will arise, causing some elderly to not receive all care they might be expecting. One important aspect of this care that might easily be overlooked are ways to combat their loneliness. This is often prevalent among the elderly, especially those aged 75 years or older. [2] One possible way to battle loneliness is to provide activities. However, with the reduced availability of care, it will become harder for healthcare workers to provide these activities. In these circumstances, robots can be used to support the workers.
Users:
User Requirements:
Approach:
Milestones:
Deliverables:
Task Division:
Literature:
Card games and AI
Policy Based Inference in Trick-Taking Card Games
Summary:
Reference: D. Rebstock, C. Solinas, M. Buro and N. R. Sturtevant, "Policy Based Inference in Trick-Taking Card Games," 2019 IEEE Conference on Games (CoG), London, UK, 2019, pp. 1-8, doi: 10.1109/CIG.2019.8848029.
A Social Robot as a Card Game Player
Summary:
Reference: Correia, F., Alves-Oliveira, P., Ribeiro, T., Melo, F., & Paiva, A. (2021). A Social Robot as a Card Game Player. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 13(1), 23-29. https://doi.org/10.1609/aiide.v13i1.12936
Object recognition
Papers that Luke will summarize:
- extension://elhekieabhbkpmcefcoobjddigjcaadp/https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=d0646c9b7c8111e1c7ed5b34827324c322c52638
Members:
- Abel Brasse (1509128) - a.m.brasse@student.tue.nl
- Linda Geraets (1565834) - l.j.m.geraets@student.tue.nl
- Sander van der Leek (1564226) - s.j.m.v.d.leek@student.tue.nl
- Tom van Liempd (1544098) - t.g.c.v.liempd@student.tue.nl
- Luke van Dongen (1535242) - l.h.m.v.dongen@student.tue.nl
- Tom van Eemeren (1755595) - t.v.eemeren@student.tue.nl