A Framework to Create Conversational Agents for the Development of Video Games by End-Users

Baena-Pérez, Rubén; Ruiz-Rube, Iván; Dodero, Juan Manuel

doi:10.1007/978-3-030-41913-4_18

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Finally, a chatbot can define conversation Flow s. As the last column of Table 1 shows, all approaches provide some way to structure the dialogue, and in particular, the meta-model has primitives to cover conversation trees and intent activation based on contexts and sessions. Pandorabots supports a richer mechanism based on a DSL -the Artificial Intelligence Markup Language (AIML) 1 -which our meta-model does not include due to its specificity. A flow is made of UserInteractions associated to an intent, and BotInteractions comprising one or more actions.…”

Section: Building a Chatbot: Background And Limitationsmentioning

confidence: 99%

“…There are some recent model-based proposals to automate the construction of chatbots for a specific task. For example, the framework in [1] permits creating chatbots for video game development; in [20], we generate Dialogflow chatbots to allow instantiating meta-models using a NL syntax; and in [19], we generate model query chatbots. Other works do not rely on models for automating chatbot creation, such as [13], where the authors enable a black-box reuse of components for creating chatbots for FAQ exploration.…”

Section: Related Workmentioning

confidence: 99%

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Model-Driven Chatbot Development

Pérez-Soler

Guerra

Lara

2020

Lecture Notes in Computer Science

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Chatbots are software services accessed via conversation in natural language. They are increasingly used to help in all kinds of procedures like booking flights, querying visa information or assigning tasks to developers. They can be embedded in webs and social networks, and be used from mobile devices without installing dedicated apps. While many frameworks and platforms have emerged for their development, identifying the most appropriate one for building a particular chatbot requires a high investment of time. Moreover, some of them are closedresulting in customer lock-in -or require deep technical knowledge. To tackle these issues, we propose a model-driven engineering approach to chatbot development. It comprises a neutral meta-model and a domainspecific language (DSL) for chatbot description; code generators and parsers for several chatbot platforms; and a platform recommender. Our approach supports forward and reverse engineering, and model-based analysis. We demonstrate its feasibility presenting a prototype tool and an evaluation based on migrating third party Dialogflow bots to Rasa.

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Section: Building a Chatbot: Background And Limitationsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Model-Driven Chatbot Development

Pérez-Soler

Guerra

Lara

2020

Lecture Notes in Computer Science

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“…The analysis of literary sources showed the high contribution of scientists and practitioners in the development of computer applications, the use of virtual and augmented reality technologies, as well as artificial intelligence objects [8][9][10][11][12][13][14][15][16][17][18]. These works have covered many diverse scientific and technical fields, from the development of object detection systems [19], education [20,21], cinematography [22], equipping scientific laboratories [23], solving tourism problems [24], modeling and optimization [25], to gaming applications [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

New Game Artificial Intelligence Tools for Virtual Mine on Unreal Engine

Abu-Abed

Zhironkin

2023

Applied Sciences

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Currently, the gamification of virtual reality for training miners, especially for emergencies, and designing the extraction of minerals in difficult technological conditions has been embodied in the Virtual Mine software and hardware. From a software development point of view, Virtual Mine is indistinguishable from other virtual reality games, and this offers a chance to use the potential of rapidly developing game software in mining, including engines, 3D modeling tools, audio editors, etc., to solve a wide range of game development tasks. The chosen direction will optimize the work of developers by providing a tool for developing game artificial intelligence to solve problems that require implementing the behavior of game agents without using a rigidly defined choice of scenarios or chains of these scenarios. The aim of the work is to expand the possibilities of working with game artificial intelligence on the Unreal Engine game engine to make it more functional. As a result, a tool has been obtained that can be used to optimize the time and improve the quality of the development of game artificial intelligence for Virtual Mine using flexible development approaches. The asset editor was developed, application modes and their working tabs were defined, and a graphical node system for the behavioral graph editor was created. A system for executing a behavioral graph is given; algorithms for its operation and features for executing nodes of a behavioral graph are presented.

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