Using Program by Demonstration and Visual Scripting to Supporting Game Design

Creating the behavior for non-player characters in video games is a complex task that requires the collaboration among programmers and game designers.

Nowadays, video games conforms a huge industry that is always developing new technology. In particular, artificial intelligence techniques have been used broadly in the well-known non-player characters (NPC) given the opportunity to users to feel video games more real. This paper proposes the usage of the MaxQ-Q hierarchical reinforcement learning algorithm in non-player characters in order to increase the experience of the user in terms of naturalness. A case study of an NPC with the proposed artificial intelligence based algorithm in a first personal shooter video game was developed. Experimental results show that this implementation improves naturalness from the user’s point of view. In addition, the proposed MaxQ-Q based algorithm in NPCs allow to programmers a robust way to give artificial intelligence to them.

Authoring the AI for non-player characters (NPCs) in modern video games is an increasingly complex task. Designers and programmers must collaborate to resolve a tension between believable agents with emergent behaviours and scripted story lines. Behaviour trees (BTs) have been proposed as an expressive mechanism that let designers create complex behaviours along the lines of the story they want to tell. However, BTs are still too complex for non-programmers. In this paper, we propose the use of plan traces to assist designers when building BTs. In order to make this approach feasible within state-of-the-art video game technology, we generate the planning domain through an extension of the component-based approach, a widely used technique for representing entities in commercial video games.

Abstract: Applications of fuzzy logic in game creation have proven useful, especially when it comes to modelling the behavior of non-player characters (NPCs) in video games. NPC behavior in video games has historically been governed by strict rule-based systems or scripted sequences, which frequently led to restricted and predictable interactions. On the other hand, fuzzy logic adds a degree of flexibility and ambiguity to the decision-making processes of NPCs. By improving the naturalness, adaptability, and emotional resonance of NPC behavior, fuzzy logic may greatly enhance player experiences in games. It provides players with progressively more engaging and dynamic gaming experiences as it continues to be incorporated into game production, opening up new possibilities for interactive narrative, gaming, and immersive virtual worlds. Based on Utku Kose's article, "Developing a Fuzzy Logic Based Game System," I have investigated the use of fuzzy logic in gaming contexts for NPC decision-making in this study.

This paper firstly seeks an answer to the question of whether Non Player Characters (NPCs) in Computer Games can also be viewed as game agents where reactivity, autonomy, being temporarily continuous and having goal-oriented behavior are taken as the features of being a game agent. Within this scope, we will try to assess whether naming NPCs as agents point to a desire that one day they would fulfill the requirements of being an agent or whether NPCs actually already fulfill these requirements. Secondly, the paper looks into the AI needs of video games. We present the AI methodologies that are either being used and under research for use in Game AI. The same methodologies are also likely to contribute to the increasing levels of autonomy and goal-directed behavior of NPCs and help them become more agent-like.

Imagine a scenario in which players engage in conversations with non-playable characters (NPCs) in video games using a microphone, free from scripted responses or predefined constraints. With the advancement of Generative Artificial Intelligence (GAI), this possibility has become more feasible than ever. This article examines the Mantella mod for The Elder Scrolls V: Skyrim (Bethesda, 2011), which facilitates natural language interactions with NPCs, transforming player engagement within the game’s fictional universe. Skyrim is an action role-playing game (RPG) developed by Bethesda Game Studios. With over 60 million copies sold and releases spanning three generations of gaming consoles, Skyrim has cemented its place in gaming history. A significant factor contributing to its enduring relevance is its vibrant modding community, which has enabled players to modify and expand the game in myriad ways – ranging from graphical enhancements to the introduction of new areas and survival mechanics. This extensive capacity for customization has sustained the game’s popularity for over a decade since its initial release. The primary objective of this article is to investigate the creative appropriation of GAI by Skyrim's PC modding community. Specifically, it addresses the following question: What AI imaginaries emerge from Skyrim gameplay influenced by the Mantella mod? To explore this question, 13 YouTube videos were collected using ethnographic techniques, complemented by a formal gameplay analysis.

Video games, or digital games, have transcended their traditional role of mere entertainment and are now being leveraged for more serious purposes, such as education and cultural preservation. Serious games offer the advantage of presenting content in an interactive and enjoyable manner. A crucial element in gameplay for creating interactivity and a pleasurable experience is the non-playable character (NPC). In serious games, replayability is pivotal for optimizing the comprehension of learning content, with the gameplay experience being a key factor influencing replayability. While games are known for their entertaining aspects, immersion design in serious games often falls short, resulting in a subpar experience. The NPC design in this study is grounded in appreciative learning, emphasizing positive outcomes such as possibilities, peak successes, exploration, and future optimism. The reward activity is structured across four levels: Discovery, Dream, Design, and Destiny. Behaviour Tree is employed to govern NPC behavior throughout all four stages. To evaluate the effectiveness of the immersive design, the Game Experience Questionnaire (GEQ) is employed, measuring three primary components—sensory, imaginative, and challenge-based immersion. The GEQ result indicates a score of 3.2, showcasing a slight improvement from the previous version's score of 3.07. This research contributes to the enhancement of serious game design by focusing on NPC behavior and immersive experiences, ultimately fostering more effective and engaging learning environments.

Americans are increasingly concerned about video games, presumably due to the amount and graphicness of violence they contain. Social Cognitive Theory suggests that people are more likely to imitate characters they see as attractive or similar to self. To date, however, little research has examined attributes of violent characters in video games related to this issue. This content analysis examined 10 minutes of play from 60 of the most popular video games. Adapting the coding scheme from the National Television Violence Study (Smith et al., 1998; Wilson et al., 1997, 1998), various demographic and contextual features of violent characters and violent interactions were assessed. The results show that violent game characters have attributes that are likely to increase the extent to which some players perceive them as attractive and similar. Moreover, these violent characters engage in aggression that is presented as justified or graphic.

Non-playable Character (NPC) is one of the important characters in the game. An autonomous and adaptive NPC can adjust actions with player actions and environmental conditions. To determine the actions of the NPC, the previous researchers used the Neural Network method but there were weaknesses, namely the action produced was not in accordance with the desired so the accuracy was not good. This study overcomes the problem of poor accuracy by using the Logarithmic Learning for Generalized Classifier Neural Network (L-GCNN) method with 6 input parameters, NPC health, distance from players, other NPCs involved, attack power, number of NPCs and NPC levels. While the output is to attack itself, attack in groups and move away. For testing, this study was tested on RPG games. From the results of the experiments conducted, it shows that the L-GCNN method has better accuracy than the 3 methods compared to 7% better than NN and SVM and 8% better than RBFNN because in the L-GCNN method there is an encapsulation process that is data have the same class will. Whereas the L-GCNN training time is 30% longer than the NN method because on L-GCNN one neuron consists of one data where there are fewer NNs in the hidden layer.

Educational research for Special Educational Needs (SEN) students has increasingly recognised the necessity for tailored approaches that accommodate diverse learning needs. Despite advancements, there remains a significant gap in the development of digital interventions, particularly video games, that cater to the language acquisition and communicative needs of SEN learners. This study explores how psychological paradigms from the popular children's television show ‘Mr. Tumble’ (made specifically for children with special educational needs) can inform the creation of language learning video games. By analysing the use of ‘Makaton’ a multimodal communication tool that combines signs, symbols, and speech the study highlights the potential of integrating similar techniques into game design to enhance accessibility and engagement for SEN learners. The philosophical understanding of Maya, which emphasises the illusory nature of multiplicity, serves as a theoretical framework to understand how a single character can embody multiple roles within a game, providing a consistent yet diverse learning experience. This approach not only aids in language comprehension but also fosters emotional and social development through relatable Non-Player Characters (NPCs) designed to interact meaningfully with learners. The study posits that incorporating these elements can create immersive, emotionally resonant educational experiences and the development of parasocial relationship between the learner and the digital intervention, that better meet the needs of SEN students, ultimately leading to more inclusive and effective language learning environments. Children simultaneously navigate multiple roles and perspectives, each reflecting a different aspect of reality in make-believe play. The critical importance of integrating this cognitive theoretical framework similar to that into the design of NPCs in educational video games is highlighted in this research. The paper argues that the paradigms of ‘multiplicity of mirrors’, when effectively incorporated into NPC design, can reflect different aspects of language, culture, and social interaction, offering learners a more immersive and multifaceted learning experience.

Non-Playable Characters (NPCs) are a subtype of virtual agents that populate video games by endorsing social roles in the narrative. To infer NPCs’ roles, players evaluate NPCs’ appearance and behaviors, usually by ascribing human traits to NPCs, such as intelligence, likability and morality. In particular, hostile NPCs in video games are essential to build the games’ inherent challenges. The three experiments reported here investigated the extent to which the perception of hostility in a military shooter game (including both threat of appearance and aggressiveness in behaviors) is influenced by the appearance and the behaviors of NPCs thanks to perceived intelligence, likability and morality-related questionnaires. Our results first show that hostility is efficiently conveyed through NPCs’ behaviors, but not significantly by their appearance. Second, our study allows identifying the main predictors of hostility perception, namely unfriendliness, knowledge and harmfulness.

The article presents the results of a study on the possibilities of building software behavioral components based on large language models (LLMs) and their use in gaming systems. The subject of the research is the behavioral component of non-player characters (NPCs) in computer games, integrated with an LLM. The aim is to explore and analyze the features of applying LLMs to simplify NPC development. The study examines game AI types – reactive, state-driven, and learning-based. Interaction with NPCs through LLMs for chat communication is considered, and analogues of such characters’ behavior and dialogue are explored. The outcome is a designed and implemented API service for interaction with LLMs and an external gaming system with a corresponding software behavioral component that provides functionality for LLM-based interaction. Testing has shown that this system works with 54 unique contextual properties, achieves a maximum system prompt generation time of up to 60 ms, a maximum LLM response parsing and validation time of up to 30 ms, and supports models with at least 14 billion parameters. Keywords: API, LLM, NPC, XML, contextual action, contextual property, software behavioral component.

Although barely explored so far, swarm intelligence can arguably have a profound impact on video games; for instance, as a simple yet effective approach for the realistic intelligent behavior of Non-Player Characters (NPCs). In this context, we describe the application of particle swarm optimization to the behavioral design of NPCs in a first-person shooter video game. The feasibility and performance of our method is analyzed through some computer experiments. They show that the proposed approach performs very well and can be successfully used in a fully automatic (i.e., without any human player) and efficient way.

This perspective article explores the potential of non-player characters (NPCs) in video games as a reflective tool for coaches to enhance participant engagement in sports. While coaches traditionally focus on movement skill instruction, their role extends to fostering young people's immersion in sports contexts and potentially contribute to the possibility of lifelong participation. However, challenges persist in translating coaching theory in coach education programs into practice, including the awareness of roles and how to make young people immersion in sports. Integrating elements from video games, where NPCs play pivotal roles in shaping player experiences, presents a possible avenue for re-thinking the role of coach, especially in participation. By drawing parallels between NPCs and coaches, this article advocates for a new reflection tool for coaching roles. Future research should investigate the effectiveness of leveraging NPCs to enhance athlete engagement and motivation, ultimately creating dynamic and inclusive coaching environments that cater to the evolving needs of participants.

As in any professional field, aspiring video game artists, designers, and developers must acquire the necessary skills and knowledge for a successful career. Higher education institutions offer varying video game Bachelor’s degree programs to meet the diverse needs of the industry. Our objective in this study was to explore these curricula to gain insight into and understanding of the contemporary video game higher education landscape. 
 
 We explored 113 Bachelor’s degree curricula in Europe that had publicly available information in English about their courses. We classified the courses within each curriculum using ten devised classifiers based on the IGDA Curriculum Framework 2008 but modified them to suit our interests. The content of the classified curricula was then used to create curriculum profiles – data vectors that characterize a curriculum based on its contents. These profiles allowed for hierarchical clustering and principal component analysis (PCA) to identify and investigate the three common types of video game curricula: video game art, interdisciplinary video game design, and video game technology/programming.
 
 Our results indicate that art and programming curricula are highly specialized, with clear distinctions in yielding Bachelor of Arts and Bachelor of Science degrees. Curricula focused on interdisciplinary video game design do not have such clear distinctions in the degree titles and content specialization. They are more varied in their profiles and tend to bridge the gap between art and programming curricula, reflecting the interdisciplinary nature of game design as a profession.
 
 Compared to results from previous studies, we found that contemporary curricula place a greater emphasis on graduation projects, internships, and soft skills. Our findings provide an overview of the current state of higher education in video games, which may prove helpful for those working with or interested in these curricula.