Unlimited Rulebook: a Reference Architecture for Economy Mechanics in Digital Games

Mizutani, Wilson Kazuo; Kon, Fábio

doi:10.1109/icsa47634.2020.00014

Cited by 7 publications

(10 citation statements)

References 12 publications

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“…The relevance about studies about AOM can be confirmed by some recent works found in the literature that used directly or were based on this architectural style, such as for economy mechanics in digital games [3], model-driven architectures [4], [5], data evolution in digital ecosystems [6], meta-modeling architectures [7], and creating dynamic web services [8], [9]. But besides this architectural style is still applied, to the best of our knowledge, except for our previous work with Esfinge AOM Role Mapper [38]- [40], there are no other works in the last five years that focused on advances for the design of AOM architectures.…”

Section: Related Workmentioning

confidence: 73%

“…The contribution of the present work focuses precisely on the direction of eliminating one of these limitations, enabling the reuse of frameworks that were not created specifically for AOM applications. The fact that recent works applied concepts of AOM for different kinds of applications [3]- [9] highlights the relevance to contribute to the state-of-art in the design of this kind of architecture. Thus, we do not consider a demerit for our work the fact that there were not recent publications that relate directly to our contributions.…”

Section: Related Workmentioning

confidence: 99%

“…Several more recent studies employed AOM concepts for several applications and domains, such as for economy mechanics in digital games [3], model-driven architectures [4], [5], data evolution in digital ecosystems [6], meta-modeling architectures [7], and dynamic web services [8], [9]. That can be considered an evidence that this architectural style is still relevant and applied in recent works.…”

Section: Introductionmentioning

confidence: 99%

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A Model to Enable the Reuse of Metadata-Based Frameworks in Adaptive Object Model Architectures

et al. 2021

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The Adaptive Object Model (AOM) is an architectural style in which domain entity types are represented as instances that can be changed at runtime. It can be used to achieve higher flexibility in domain classes. Due to AOM entities having a distinct structure, they are not compatible with most popular frameworks, especially those that use reflection and code annotations. Objective: To solve such limitations, this work aims to propose a model that enables the reuse of frameworks designed for classic object-oriented domain models in an AOM application. Methods: The proposed model uses dynamically-generated adapters for AOM entities that encapsulate them in a class with the format expected by the frameworks. A reference implementation was developed in the Esfinge AOM RoleMapper framework to evaluate the viability of the proposed model. Initially, to evaluate the solution feasibility, a case study was carried out using the Hibernate framework. Further, an experiment was conducted to assess how the participants perceived the framework functionality reuse through the proposed model. Results: The feasibility study revealed that the solution could be applied in a complex setting for the chosen object-relational mapping frame. It raised some difficulties that can be addressed in future studies. In the experiment, the development time did not present a significant difference compared to the competing approach. Despite the considerable learning curve, most participants considered that the proposed approach has more advantages than the alternative. Conclusion: Based on the evaluations, we can conclude that the proposed model can be successfully employed to use AOM entities with frameworks that were not designed for AOM applications. The possibility of reusing existing frameworks can reduce the effort required to adopt an AOM architecture and, consequently, be a facilitator in implementing more flexible and adaptive approaches.

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Section: Related Workmentioning

confidence: 73%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Model to Enable the Reuse of Metadata-Based Frameworks in Adaptive Object Model Architectures

et al. 2021

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“…There are several works in other fields which mention Factorio: virtual economy analysis [27], video game learning and community building [23], and a consideration of the capitalistic and productionobsessed players of Factorio in [24]. In a poster by Duhan et al [13] the concept of creating a reinforcement learning based engine to play Factorio is described, with the potential for creation of transferable knowledge to real-world scenarios, though no further work has yet been published.…”

Section: Related Workmentioning

confidence: 99%

A hybrid metaheuristic approach to a real world employee scheduling problem

Reid

Brownlee

et al. 2019

Proceedings of the Genetic and Evolutionary Computation Conference

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Efficient optimization of resources is paramount to success in many problems faced today. In the field of operational research the efficient scheduling of employees; packing of vans; routing of vehicles; logistics of airlines and transport of materials can be the difference between emission reduction or excess, profits or losses and feasibility or unworkable solutions. The video game Factorio, by Wube Software, has a myriad of problems which are analogous to such real-world problems, and is a useful simulator for developing solutions for these problems. In this paper we define the logistic transport belt problem and define mathematical integer programming model of it. We developed an interface to allow optimizers in any programming language to interact with Factorio, and we provide an initial benchmark of logistic transport belt problems. We present results for Simulated Annealing, quick Genetic Programming and Evolutionary Reinforcement Learning, three different meta-heuristic techniques to optimize this novel problem.

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“…With this, the proof-of-concept passed all the test scenarios. We wrote a more extensive example using this version of the Unlimited Rulebook in previous work (Mizutani and Kon, 2020).…”

Section: Early Proof-of-conceptmentioning

confidence: 99%

The Unlimited Rulebook: architecting the economy mechanics of games

Mizutani¹

Self Cite

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My academic journey through the world of game development officially began in November 2009, when some college friends and I decided to make a game together. That team went on to become USPGameDev, a student special interest group at the University of São Paulo. I love to tell everyone I find in the street how many of us now work on real game companies all over the world. Except for me, that is. I spent the last decade learning, programming, teaching, organizing events, participating in game jams, researching, and dedicating myself to many, many other smaller activities involving USPGameDev. Even though I always admired my friends that now actively take part in the game industry, it seems something kept drawing me to that place. The place I helped build where anyone could go to start their own journey in the game development world.This thesis was the way I found to materialize everything I lived these past 12 years. It is my tribute to everyone I met during this time, for every single one of you taught me something that made its way into the process of making this work. That said, not everything found a place among the pages of this final manuscript. These are dark times and I grossly overestimated my willpower to properly tie all the loose ends. Instead, I shamefully offer these simple words of gratitude to all of you.There are a few names I do want to shine the spotlight on. First of all, Vinícius, one of the fellow founders of USPGameDev, who agreed to co-author a journal article with me. Also my eternal Age of Empires mentor -may your villagers never meet the unforgiving tusks of the wild boar! Next, I would like to offer my eternal gratitude to those who joined me in my shenanigans to put the Unlimited Rulebook to the test: Rica, Zé, and Heitor. Heitor also taught me the joy of writing and convinced me to finally create something of my own. Thank you three for always indulging me. Speaking of indulging, I am forever indebted to the four patient souls that agreed to the interviews needed for my research (and sorry I cannot put your names here!). Professor Paulo and fellow researchers Higor and Leonardo showed me the light when the time came to design the more formal steps of my research methodology. And, of course, I thank my advisor, professor Fabio, for making sure I had all the reasons to be proud of my work. During the worst times of the last two years, the ones I could always count on were my partner, Maki, and my brother, Akira. It is thanks to both of you that I had the safest and most welcoming home to shelter in while the storm raged outside.Last, there will always be a special place in my memories for the Institute of Mathematics and Statistics from the University of São Paulo. The professors, the staff, and the hundreds of colleagues I met there give me the unshakeable certainty that it was worth it seeing this work through.

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Unlimited Rulebook: a Reference Architecture for Economy Mechanics in Digital Games

Cited by 7 publications

References 12 publications

A Model to Enable the Reuse of Metadata-Based Frameworks in Adaptive Object Model Architectures

A Model to Enable the Reuse of Metadata-Based Frameworks in Adaptive Object Model Architectures

A hybrid metaheuristic approach to a real world employee scheduling problem

The Unlimited Rulebook: architecting the economy mechanics of games

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