Intelligent Game Research Articles

Hawk and pigeon’s intelligence for UAV swarm dynamic combat game via competitive learning pigeon-inspired optimization

Hawk and pigeon’s intelligence for UAV swarm dynamic combat game via competitive learning pigeon-inspired optimization

Solving for fun: The surprising and strange world of artificial intelligence game designers

It’s April 2018, and I’m stuck inside a hotel room, staring at a laptop, panicking ( <xref ref-type="fig" rid="fig1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Fig. 1</xref> ). I’ve been carefully preparing for months to demonstrate my work at EGX Rezzed—one of the United Kingdom’s most popular videogames expos—and after a lot of hard work and testing, something has gone horribly wrong.

Views of Secondary School Science, Pre-school and Primary School Teachers on Science Education with Intelligence Games

Science education is important at all educational levels, from pre-school to higher education. For this reason, in this study, it is aimed to determine the views of secondary school science, pre-school and primary school teachers on science education with intelligence games. The research was designed as a qualitative method case study. The study group was formed by random sampling method. Accordingly, a total of 131 teachers took part in the study group in 38 secondary school science, 47 pre-school and 46 primary school teaching branches. Semi-structured interview questions were developed by the researchers and teachers’ opinions were collected online. The data obtained in this way were analyzed by content analysis. As a result of the analysis, six basic themes were reached: definition, education, belief, preference, and problem and solution proposal. Regarding the science education implemented using intelligence games, most of the teachers pointed out that they did not have any education, they regarded these games as an educational tool and that these games contributed to their vocational developments. It has emerged as a solution that games are entertaining, skill-enhancing, interesting and support permanent learning, cost of games and primary school management are problems, associating games with subjects and eliminating the lack of game materials.

Have Video Games Evolved Enough to Teach Human Origins?

OverviewVideo games are unparalleled as an interactive medium and can serve as potential educational tools through intelligent game design and the players’ immersion in the game world (e.g., Mayo 2009; Rassalle 2021; Rubio-Campillo 2020; Winter 2021). At the same time, video games, like any media, might also misinform (e.g., Aron 2020; Dennis 2019; Emery and Reinhard 2016). In this review, I present my impressions of the game Ancestors: A Humankind Odyssey (Panache Digital Games 2019), specifically regarding its portrayal of paleoanthropological themes. In preparing this review, I played the game in its entirety and subsequently interviewed the developers in order to clarify their intentions when designing the game (Patrice Désilets and Marc-André De Blois, personal communication 2021). Using the medium of video games, is it possible to make a “perfectly” accurate simulation of human evolution? Perhaps, but that may not matter anyway. In my view, video games, as exemplified by Ancestors, have great potential for exploring the basic components of human evolution and to reach and inspire a wider public that might otherwise learn very little about the subject matter.

A Multi-Agent Motion Prediction and Tracking Method Based on Non-Cooperative Equilibrium

A Multi-Agent Motion Prediction and Tracking method based on non-cooperative equilibrium (MPT-NCE) is proposed according to the fact that some multi-agent intelligent evolution methods, like the MADDPG, lack adaptability facing unfamiliar environments, and are unable to achieve multi-agent motion prediction and tracking, although they own advantages in multi-agent intelligence. Featured by a performance discrimination module using the time difference function together with a random mutation module applying predictive learning, the MPT-NCE is capable of improving the prediction and tracking ability of the agents in the intelligent game confrontation. Two groups of multi-agent prediction and tracking experiments are conducted and the results show that compared with the MADDPG method, in the aspect of prediction ability, the MPT-NCE achieves a prediction rate at more than 90%, which is 23.52% higher and increases the whole evolution efficiency by 16.89%; in the aspect of tracking ability, the MPT-NCE promotes the convergent speed by 11.76% while facilitating the target tracking by 25.85%. The proposed MPT-NCE method shows impressive environmental adaptability and prediction and tracking ability.

Процесс взаимодействия человека и искусственного интеллекта в медиапространстве компьютерных игр

The purpose of study is to establish ethical standards for the interaction between a human and artificial intelligence in the media space of a computer game. The relevance of study is determined, on the one hand, by the active mediatization of various spheres of our life and the strengthening of the role of gaming communication practices in shaping the media landscape as a whole, and on the other hand, by the intensive development of artificial intelligence technologies and the problems that arise in connection with this in human – artificial intelligence communica-tion in the media sphere. As the main research methods, the content analysis method, cross-analysis and the historical-functional method are declared, on the basis of which the key forms of interaction between artificial intelligence and human in different types of games are established, and an ethical standard for such interaction is proposed, which can be extrapolated to media communication in general. It is determined that the typology of the roles performed by artificial intelligence in games can be built on the basis of such features as the complexity, complexity and internal structure of artificial intelligence. It turns out that human – artificial intelligence relations are built mainly on the following types of interaction: hostile, controlling, conditionally friendly and friendly. As fundamental ethical norms of communication in the human – artificial intelligence link, postulates are proposed based on the principle of equality of participants in the communication process, when the issue of not only the safety of the player is considered, but also the safety of the artificial intelligence, which acquires features that fit the definition of a living one.

Gaining Student Engagement Through Project-Based Learning: A Competitive 2D Game Construction Case Study

In this work we consider an open artificial intelligence game as a matter of study within the lectures of artificial intelligence to combat lack of motivation and increase engagement within the classroom. During formation, students in computer science can deal with moderately complex projects, nevertheless, dealing with such problems is relegated to the Degree Final Project. In this investigation we show the procedural steps of how project-based learning combined with game construction can effectively be used to promote engagement in informatic lectures at university. For the task, we build a 2D game engine and propose students to enroll in factitious research teams with the aim of programming intelligent agents that play the game employing artificial intelligence techniques. The intended principal outcome is to show evidence of the application of project-based learning in artificial intelligence within the lectures, and how it can be combined with game construction to increase motivation in the classroom. Project-based learning has the students learn, organize, and solve challenges while students themselves remain their own responsible for the investigation and process of work. We propose to follow a series of sequential phases that conform a set of milestones that incorporate a project-based learning approach to the lectures. Through this work we show that the use of project-based learning combined with game construction provides reliable evidence that a much deeper understanding about artificial intelligence is attained by students participating in the challenge. Student evaluation questionnaires and final grade results attained by students indicate that students remained more engaged during the semester in comparison to previous semesters in which lack of motivation was reported.

Development of computer games using artificial game intelligence technologies

The article is devoted to the topical issue of finding new effective methods and improving existing common ways of developing computer games using artificial intelligence technologies. The main focus is on finding and improving the efficiency of tools for building computer games through the introduction of modern technologies. The article presents the following statement of the problem: the use of modern research in the field of artificial intelligence — one of the surest ways to solve complex problems in the gaming industry. It is known that the requirements of modern gamers for computer games are quite small, so developers need to focus on such innovations that can ensure the introduction of new gaming artificial intelligence technologies. To do this, it is necessary to analyze ways to build the game, to develop algorithms for assessing the current level of skills of the player to offer him during the game situations that give more interest to the gameplay. Solving the problem allows you to reduce computational complexity and improve the quality of decisions made in real time. To solve this problem, the article describes: methods of using gaming artificial intelligence technologies, considers the logic of this game by different methods, reveals whether gaming artificial intelligence is a subsector of a large field of artificial intelligence, describes machine learning methods and explains why machine learning is not always appropriate. used in game development, describes the main directions of development of artificial intelligence in the further development of computer games, as well as the principle of building games using the algorithm for assessing the skills of the player and the game engine Unity.

Benchmarking successful performances in elite Ladies Gaelic football

ABSTRACT The lack of sport science research conducted on female sport, makes it challenging for coaches and sport science practitioners to develop an evidence-based approach. Ladies Gaelic football (LGF) is the most popular female sport in Ireland with over 200,000 members, however there has been no research to benchmark performance. The current study investigates the game characteristics of LGF by developing analysis system which could provide benchmark profiles of successful performance at elite level and evaluate the transferability of the game intelligence available within LGF’s brother sport, Gaelic football (GF). Thirty-one games (62 performances) were analysed from the 2019 and 2020 TG4 All-Ireland Senior Ladies Football Championship using NacSport Scout+. Statistical differences between winning and losing performances were identified using paired sample t-tests (p ≤ 0.05) and Wilcoxon signed ranked tests (p ≤ 0.05). Winning teams were found to be significantly superior to losing teams, demonstrating superior ability to gain and use possession. LGF and men’s GF teams adopt different strategic approaches to the game. The current study provides a first insight into the nature of LGF with benchmark data, facilitating a better understanding of the game demands of LGF and the key points of difference between male and LGF.

The Effect of Mangala, the Intelligence Game Taught by Distance Education, on the Mathematical Motivations and Problem-solving Skill Levels of 6th-Grade Students

This study examines the effect of &amp;quot;Mangala&amp;quot; on the mathematical motivation and problem-solving skill levels (PSoSL) of 6th-grade students. A single-group pre-test-post-test quasi-experimental design based on the quantitative research approach was used in the study conducted through distance education. The sample consisted of 14 6th-grade students. The data collection tools used in the study, which continued for three weeks in the 2020-2021 academic year, were the Mathematical Motivation Scale (MMS) and Performance Tasks (PT). The data obtained from this study were analyzed using the SPSS 22.0 package program. Since the sample size was small and the data did not show normal distribution, data analysis was carried out using the Wilcoxon Signed Rank Test, one of the non-parametric statistical tests. Data analysis showed a statistically significant difference between the pre and post-experiment MMS scores of the students. The effect of &amp;quot;Mangala&amp;quot; on students&amp;#39; PSoSL was evaluated through performance tasks. The Progressive Scoring Scale (PSS) taken from Baki (2014) was used to evaluate performance tasks. Researchers redefined each criterion in the scoring key and set four levels: &amp;quot;very good,&amp;quot; &amp;quot;good,&amp;quot; &amp;quot;unsatisfactory,&amp;quot; and &amp;quot;empty.&amp;quot; The analysis of the problems in the performance tasks showed that the students usually gave &amp;quot;very good&amp;quot; and &amp;quot;good&amp;quot; answers. However, some students had difficulties finding solution strategies and writing a similar problem; thus, they left blank answers.

Guest Editorial Special Issue on Team AI in Games

The papers in this special section focus on team artificial intelligence (AI) in games. Computer controlled players excel in a wide range of environments, from traditional board games, like chess and Go, to fast arcade environments like Super Mario Bros. and one versus one fighting. One of the topical issues of today’s research efforts aims at intelligent team behavior, relevant for a wide variety of games, including real-time strategy games, team sports, multiplayer online battle arena (MOBA), and even tabletop games like Hanabi. The notion of team behavior is very rich, ranging from the ability to exhibit a clear and consistent strategy of an AI-controlled team to the capability of “melting into” a group of human-controlled teammates and supporting their coordinated actions. Consequently, design goals of an AI system can be driven by a variety of considerations, including efficiency, creativity, believability, synergism, and contribution of the AI to the overall entertainment value of the game.

Fundamental relationships of executive functions and physiological abilities with game intelligence, game time and injuries in elite soccer players

SummaryThe study examined the (1) interrelation of cognitive‐athletic performance concerning game time and (2) injuries; (3) relation between executive functions and game intelligence. A total of 172 elite soccer players (age: 12–34 years) performed tests assessing multiple‐object‐tracking, working memory capacity (WMC), cognitive flexibility (CF), and inhibition. General and specific‐endurance‐performance, and physical performance (jumps and sprint) were also measured. Game intelligence, time and injuries were tracked. WMC, CF, and a total cognition score showed correlations with game intelligence, and the same parameter, along with selective attention and game intelligence were also correlated with game time. Sprint and specific‐endurance were connected with game time, whereas contact injuries only correlated with sprint, and noncontact injuries with sprint and general‐endurance. Especially executive functions represent fundamental associations with game intelligence and ‐time across all age groups, whereas certain physiological abilities may contribute to more game time and less non‐contact injuries depending on age.

Survey on intelligent game of computer poker

Survey on intelligent game of computer poker

Dynamic Expansion of Behaviour Trees

Artificial intelligence in games is typically used for creating player's opponents. Manual edition of intelligent behaviors for Non-Player Characters (NPCs) of games is a cumbersome task that needs experienced designers. Our research aims to assist designers in this task. Behaviours typically use recurring patterns, so that experience and reuse are crucial aspects for behavior design. The use of hierarchical state machines allows working on different abstraction levels, sharing transitions and reusing pieces from the more detailed levels. However, the static nature of the design process does not release the designer from the burden to completely specify each behaviour. Our approach applies Case-Based Reasoning (CBR) techniques to retrieve and reuse stored behaviors represented as hierarchical state machines (actually, behaviour trees). In this paper we focus on dynamic retrieval of behaviours taking into account the world state and the underlying goals to select the most appropriate state machine to guide the NPC behaviour. The global behaviour of the NPC is dynamically built in run time querying the CBR system. We exemplify our approach through a serious game, developed by our research group, with gameplay elements from First-Person Shooter (FPS) games.

Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games

Game Artificial Intelligence (Game AI) is a sub-discipline of Artificial Intelligence (AI) and Machine Learning (ML) that explores the ways in which AI and ML can augment player experiences in computer games. Storytelling is an integral part of many modern computer games; within games stories create context, motivate the player, and move the action forward. Interactive Narrative is the use of AI to create and manage stories within games, creating the perception that the player is a character in a dynamically unfolding and responsive story. This paper introduces Game AI and focuses on the open research problems of Interactive Narrative.

Investigation of the Gifted Students’ Education Based on Its Cost

Introduction: The purpose of this research was to investigate the cost parents paid for their gifted and non-gifted children, the type of expenses they made for their children’s education and their opinions regarding the financial demands of their gifted children.Method: In this qualitative study with a phenomenological approach, the data were collected from 20 parents of gifted and non-gifted students using structured interview forms. The data were analyzed using descriptive statistics and content analysis.Findings: The findings indicated that the parents spent the most on school supplies for both gifted and non-gifted children for in-school environment. However, for out-of school expenditures parents spent the most on books, movies, and intelligence games for their gifted children while they spent the most on field trips and movies for their non-gifted children.Discussion: Parents could not fully support the development of their children (especially gifted ones) due to their financial conditions. Also, parents reported that opportunities in regular schools were not enough to help their children realize and fulfill their own potential. It was concluded that gifted children needed environments enriched with more materials, sources, mentors, and facilities to reveal their true potential.

ORTAOKUL ÖĞRENCİLERİNİN İKİ VE ÜÇ BOYUTLU UZAMSAL GÖRSELLEŞTİRME BECERİLERİNİN İNCELENMESİ

In this research, it is aimed to determine the spatial visualization skills of the secondary school students, evaluate them in terms of some variables, and compare with their achievements of the mathematics and science course. Descriptive and correlational screening models were used in the study. The sample of the research is 506 secondary school students. The Spatial Visualization Test and a personal information form were used. Descriptive statistics, independent sample t-test, one-way analysis of variance and the Spearman-Brown correlation coefficient were used to analyse the data. In the research, spatial visualization skills of the students who took pre-school education were significantly higher than those who did not take. Two dimensional spatial visualization skills of the 8th grade students were found to be significantly higher than the 6th and 7th graders, while the three dimensional spatial visualization skills of the 7th and 8th graders were significantly higher than the 6th grade students. In addition, spatial visualization skills of secondary school students who play geometric-mechanical intelligence games and computer games are significantly higher than those who do not play these games. Positive and significant relationship was found between spatial visualization skills of secondary school students and their accomplishment in mathematics and sciences.

COMPETITIVE PRACTICE IN FOREIGN CHILDREN'S AND YOUTH FOOTBALL

In the 1980s, experts from different countries with developed football, realizing that "street" football is a thing of the past, came to the conclusion that it is necessary to revise the system of training young talents and give children the opportunity to train and play according to their own rules i.e. to the "nature" of children's football. When licensing football clubs, the Union of European Football Associations (UEFA) defined the requirements for the development of training programs for young football players based on strategic tasks, where priority is given to the individual development of the player, and the achievement of sports results is secondary (“development first, then the result ”). World experience shows that in order to create conditions for the gradual development of the diverse qualities of young players, it is necessary: firstly, to refuse to participate in official competitions up to 12 years old in order to focus on the quality and effectiveness of the training process aimed at individual development and training of a creative player; secondly, to conduct training sessions in a game form on a high emotional background with the obligatory consideration of age and individual characteristics of children. It is the application of the game method that is the key to effective learning, during which individual opportunities develop, game intelligence is formed, the foundations of the child‟s technical and tactical skills are laid, which in the future will determine the player‟s potential at a professional level.

Intelligence in Strategic Games

If an agent, or a coalition of agents, has a strategy, knows that she has a strategy, and knows what the strategy is, then she has a know-how strategy. Several modal logics of coalition power for know-how strategies have been studied before.&#x0D; The contribution of the article is three-fold. First, it proposes a new class of know-how strategies that depend on the intelligence information about the opponents’ actions. Second, it shows that the coalition power modality for the proposed new class of strategies cannot be expressed through the standard know-how modality. Third, it gives a sound and complete logical system that describes the interplay between the coalition power modality with intelligence and the distributed knowledge modality in games with imperfect information.

SCIENTIFIC AND METHODOLOGICAL BASIS FOR THE PREPARATION OF AN ELECTRONIC EDUCATIONAL AND METHODOLOGICAL COMPLEX ON THE TOPIC «THE STRUCTURE OF THE ATOM»

The article describes the problem of low availability and inaccessibility of new information technologies in the Kazakh language in universities, analyzes the pros and cons of electronic textbooks based on theoretical data. The textbooks used by teachers show the effectiveness and usefulness of multimedia, in order to make them more valuable, it is necessary to add digital resources, such as academic games and interactive websites. The questions of the popularity of textbooks compiled using a computer are touched upon, the analysis and testing of programs for compiling electronic textbooks is carried out. The importance of methodological support of the textbook in the creation of electronic information tools is analyzed. Automation of all the main stages of training with electronic textbooks is provided before monitoring the content of the educational material and making recommendations for final grades, thanks to which all mandatory educational materials are replaced by bright, interesting, with a share of intelligence game moves, i.e. widely used multimedia, including interactive and voice. For students and teachers of chemistry, the authors have compiled an electronic textbook in the Kazakh language, the effectiveness of the textbook has been analyzed and studied in accordance with theoretical data and surveys, according to the results of the study, positive indicators of the assimilation of educational material have been demonstrated.