Seminar on Human-like Artificial Agents (Summer 2021/22)

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Dates (SIS)

Wednesdays 12:20 SW1, starting from 2nd week of semester
also on Zoom
(Zoom link, sent privately via email)

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Seminar Terms

• You must attend the seminar regularly
• You must give two presentations on a chosen topic
  • The first is a lecture about some scientific paper
  • The second is typically a report about the state of your bachelor/master thesis
• You must act as an opponent for one presentation about your colleague’s bachelor/master thesis
• If the need arises, you will have to participate in some experiment (e.g., evaluating software or a project of your colleague)

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Papers to Choose from

Paper	Links	Presenter
Analysis of Statistical Forward Planning Methods in Pommerman, Diego Perez Liebana, Raluca Gaina, Olve Drageset, Ercument Ilhan, Martin Balla and Simon Lucas (2019)	Paper
Horswill, I. (2020, October). A Declarative PCG Tool for Casual Users. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (Vol. 16, No. 1, pp. 81-87).	Paper
Ferreira, L., Lelis, L., & Whitehead, J. (2020, October). Computer-generated music for tabletop role-playing games. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (Vol. 16, No. 1, pp. 59-65).	Paper
Bhaumik, Debosmita, et al. “Tree Search versus Optimization Approaches for Map Generation.” Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. Vol. 16. No. 1. 2020.	Paper
Karavolos, D., Liapis, A., & Yannakakis, G. N. (2019). A multi-faceted surrogate model for search-based procedural content generation. IEEE Transactions on Games.	Paper
By, T. (2019). Hexagonal grid numbering. IEEE Transactions on Games.	Paper (MFF subnet)
Steinmetz, E. S., & Gini, M. (2020). More Trees or Larger Trees: Parallelizing Monte Carlo Tree Search. IEEE Transactions on Games.	Paper (MFF subnet)
Daylamani-Zad, D., & Angelides, M. C. (2020). Altruism and Selfishness in Believable Game Agents: Deep Reinforcement Learning in Modified Dictator Games. IEEE Transactions on Games, 13(3), 229-238.	Paper (MFF subnet)
Freiknecht, J., & Effelsberg, W. (2019). Procedural generation of multistory buildings with interior. IEEE Transactions on Games, 12(3), 323-336.	Paper (MFF subnet)
Kim, E. Y., & Ashlock, D. (2019). Testing a Protocol for Characterizing Game Playing Agents Trained via Evolution on a New Game. IEEE Transactions on Games, 12(3), 236-245.	Paper (MFF subnet)
Baeta, F., Correia, J., Martins, T., & Machado, P. (2021). Speed benchmarking of genetic programming frameworks. arXiv preprint arXiv:2106.11919.	Paper
Tisdale, B., Seals, D., Pope, A. S., & Tauritz, D. R. (2021, June). Directing evolution: the automated design of evolutionary pathways using directed graphs. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 732-740).	Paper (MFF subnet)
Paolo, G., Coninx, A., Doncieux, S., & Laflaquière, A. (2021). Sparse reward exploration via novelty search and emitters. arXiv preprint arXiv:2102.03140.	Paper
Molin, L. D., Kanwal, J., & Stone, C. (2021, June). Resource availability and the evolution of cooperation in a 3D agent-based simulation. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 93-101).	Paper (MFF subnet)
Liu, J., Moreau, A., Preuss, M., Rapin, J., Roziere, B., Teytaud, F., & Teytaud, O. (2020, June). Versatile black-box optimization. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 620-628).	Paper (MFF subnet)
Hevia Fajardo, M. A., & Sudholt, D. (2020, June). On the choice of the parameter control mechanism in the (1+(λ, λ)) genetic algorithm. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 832-840).	Paper
Rajabi, A., & Witt, C. (2020, June). Self-adjusting evolutionary algorithms for multimodal optimization. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 1314-1322).	Paper
Green, M. E., DeLuca, T. F., & Kaiser, K. W. (2020, June). Modeling wildfire using evolutionary cellular automata. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 1089-1097).	Paper (MFF subnet)
Javaheripi, M., Samragh, M., Javidi, T., & Koushanfar, F. (2020, June). GeneCAI: gene tic evolution for acquiring compact AI. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 350-358).	Paper (MFF subnet)
Do, A. V., Bossek, J., Neumann, A., & Neumann, F. (2020, June). Evolving diverse sets of tours for the travelling salesperson problem. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 681-689).	Paper
Medvet, E., Bartoli, A., De Lorenzo, A., & Fidel, G. (2020, June). Evolution of distributed neural controllers for voxel-based soft robots. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 112-120).	Paper (MFF subnet)
Santana, C., Keedwell, E., & Menezes, R. (2020, June). An approach to assess swarm intelligence algorithms based on complex networks. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 31-39).	Paper
GECCO Proceedings: 2021, 2020	try to find some
IEEE Transactions on Games (journal): 2021 (1, 2, 3), you can check older as well	try to find some
COG (Conference on Games, originally CIG, Computational Intelligence in Games): 2020, 2019	try to find some
AIIDE (Artificial Intelligence and Interactive Digital Entertainment) Proceedings: 2020, 2019, 2018, you can check older as well	try to find some
IEEE Games, Entertainment, Media conference papers	try to find some
IEEE ICTAI (International Conference on Tools with Artificial Intelligence): 2020, 2019, 2018, you can check older as well	try to find some
ICEC (International Conference on Entertaining Computing) Proceeedings: 2020, 2018, you can check older as well
MIG (Motion in Games): 2021, 2020, 2019, you can check older as well
Everything Procedural conference	try to find some
More venues (via Google Scholar keyword search): “game”, “interactive”, “entertainment”, “game learning”, “interaction” (not everything is related)	try to find some

Structure of the Paper Presentation

1. Summarize what the paper is about, what is its take-home-message (10-15 minutes)
2. Critically feedback the writing of the paper (5 minutes), e.g.:
   1. They claimed something at the beginning, that they did not deliver;
   2. the hypothesis was clear but the experiment is not designed so it may bring fruitful data;
   3. the data reported, when you try to interpret them, is not supporting the discussion within the paper;
   4. is the experiment replicable?
   5. …

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Structure of the Project Presentation

1. Quickly mention what your work is about
2. Tell us the motivation behind your work
   1. Why are you pursuing this topic?
   2. What is scientifically exciting about your topic?
   3. What the result should ideally be?
   4. Who can benefit from your work?
3. Describe the state of your work
   1. How are you planning to finish the thesis, what steps are required to deliver it?
   2. What have you done so far and what is before you
4. End the presentation with open challenges or current problems you are facing to spark the discussion

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Seminar Schedule

Date	Note	Presenter	Oponent	Paper / Project	Presentation
23.2.	Seminar welcome session
2.3.	Scientific Reading	Petr Guba		Resource availability and the evolution of cooperation in a 3D agent-based simulation	PPTX
	Project Presentation	Tomáš Plhák	Petr Guba	Space Alert IRL	Google, PPTX
9.3.	Scientific Reading – Round 2	Jakub Čatloš		A Comparative Evaluation of Procedural Level Generators in the Mario AI Framework	PDF
	Project Presentation	Petr Guba	Jakub Čatloš	Analysis of different MCTS implementations of artificial intelligence for the Children of the Galaxy computer game	PPTX
16.3.	Scientific Reading – Round 3	Karel Vlachovský		Particle-Based Fluid Simulation for Interactive Applications	PDF
	Project Presentation	Jakub Čatloš	Karel Vlachovský	Generating levels for Super Mario Bros using advanced level design concepts	PPTX
23.3.	Scientific Reading – Round 4	Shivam Sharma		Modelling wildfire using Cellular Automata	PPTX
30.3.	Project Presentation	Karel Vlachovský	Shivam Sharma	A Framework for Real-time Volumetric Terrain With Simulated Materials	PDF
	Scientific Reading – Round 5	Tomáš Plhák		Tangible and Casual NFC-Enabled Mobile Games	PPTX, Google
	Project Presentation	Jiří Filek	Tomáš Plhák	Hierarchical Version of the Wave Function Collapse Algorithm	PPTX
6.4.	break
13.4.	Scientific Reading – Round 6	David Šosvald		Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network	PPTX, Google
	Scientific Reading – Round 6.5	Tomáš Guth Jarkovský		Freiknecht, J., & Effelsberg, W. (2019). Procedural generation of multistory buildings with interior. IEEE Transactions on Games, 12(3), 323-336	PDF
	Project Presentation	Jakub Hroník	Tomáš Guth Jarkovský	Fencing Simulator	live demo
20.4.	Scientific Reading – Round 7	Adrián Kormoš		Baeta, F., Correia, J., Martins, T., & Machado, P. (2021). Speed benchmarking of genetic programming frameworks.	PPTX
	Project Presentation	Tomáš Kalva	David Šosvald	Shape grammars for level generation in an action RPG game	PPTX
27.4.	Scientific Reading – Round 8	Jakub Hroník		Serious Violence: The Effects of Violent Elements in Serious Games	PPTX
	Scientific Reading – Round 8.5	David Šosvald		Interactive example-based terrain authoring with conditional generative adversarial networks	PPTX, Google
	Project Presentation	Adrián Kormoš	Jakub Hroník	Tower Defense Kit for Unity	PPTX
	Spec. Project Presentation	Petr Šimůnek		Engine Evolution, Engine Evolution 2021/2022	PDF
4.5.	Scientific Reading – Round 9	Jiří Filek		Automatic Generation of Game Content using a Graph-based Wave Function Collapse Algorithm	PPTX
	Project Presentation	Tomáš Guth Jarkovský	Jiří Filek		Canva
11.5.	University Day Off
18.5.	Scientific Reading – Round 10	Tomáš Kalva		Tree Search versus Optimization Approaches for Map Generation	PPTX, Google
	Project Presentation	Shivam Sharma	Tomáš Kalva		PDF