ASP-Driven BDI-Planning Agents in Virtual 3D Environments

Antakli, André; Zinnikus, Ingo; Klusch, Matthias

doi:10.1007/978-3-319-45889-2_15

Cited by 5 publications

(6 citation statements)

References 14 publications

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“… The "Action" script is the template file for setting up the desire. User may rename the script to the desire of Approaches Works Extending the BDI platform with simulation capabilities [9] Extending the agent simulation platform with BDI capabilities [4], [5] Integrating BDI platform with agent simulation platform [6], [7], [8], [10], [11], [12] Developing BDI scripting for Unity3D platform [13], [14] the agent. Then attach it to agent object.…”

Section: Methodsmentioning

confidence: 99%

“…JADEX BDI reasoning framework is integrated and extended with learning component to Unity3D games engine to control self learning agents in 3D virtual words. The integration of JADEX BDI agent platform to FiVES 3D environment [7]. Finally, GOAL programming is integrated into unreal games engine to develop an intelligent agent for 3D virtual worlds simulation.…”

Section: Table I Actors and Role Descriptionsmentioning

confidence: 99%

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Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Wai¹,

Cheah²,

Khairuddin³

et al. 2021

JOIV : Int. J. Inform. Visualization

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Agent based simulation (ABS) is a paradigm to modelling systems included of autonomous and interacting agents. ABS has been tremendous growth and used by researchers in the social sciences to study socio-environmental complex systems. To date, various platforms have been introduced for agent-based social simulation. They are rule based in any logic, python based in SPADE and etc. Although those platforms have been introduced, there is still an insufficient to develop a crowd simulation in 3D platform. Having a 3D platform is needed to enabling the crowd simulation for training purposes. However, the current tools and platform still lack features to develop and simulate autonomous agents in the 3D world. This paper introduced a BDI plug in at Unity3D for crowd simulation. BDI is an intelligent agent architecture and it is able to develop autonomous agents in crowd environment. In this paper, we present the BDI plug with a case study of Australia bush fire and discuss a method to support autonomous agents' development in 3D crowd simulation. The tool allows the modeller to develop autonomous agents in 3D world by taking the advantages of Unity3D.

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Section: Methodsmentioning

confidence: 99%

Section: Table I Actors and Role Descriptionsmentioning

confidence: 99%

Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

Wai¹,

Cheah²,

Khairuddin³

et al. 2021

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…Within this line, the field of crowd simulation has also gained strength, and we also find some studies on it using VR and MAS [57][58][59][60][61][62][63][64][65][66][67][68]. This type of simulation has multiple purposes: planning emergency plans [69][70][71][72], improvement of the work environment [73][74][75][76][77][78], improvement of the educational environment [79][80][81][82][83][84][85][86], people training [87][88][89][90][91][92][93][94][95], interactions between humans and avatars [96,97], smart buildings and commerce simulation [98,99], etc.…”

Section: Human Behaviormentioning

confidence: 99%

“…in production scenarios to evaluate the critical properties of such scenarios and the assignment of tasks to team members. Antakli et al [77] proposed an agent platform (HumanSim), a combination of Belief, Desire, Intention (BDI) paradigm and Answer Set Programming (ASP) to simulate worker agents in a shop floor domain. In the paper of Cai et al [78], the use of an interactive virtual environment is proposed for the simulation of the behavior of miners inside an underground coal mine, for which a behavioral framework based on emotional states and motivational needs is proposed.…”

Section: Work Environmentmentioning

confidence: 99%

“…These applications are related to different purposes that are described and in which that section has been divided: videogames development [30][31][32][33][34][35][36][37][38][39], robot simulation [40,41], interactive virtual environments development [42][43][44][45], human behavior simulation , dissemination of cultural heritage [100,101], urban m development of autonomous vehicles [107,108], and machinery simulation [109][110][111] (Figure 5). Also, simulation of human behavior can be divided into subcategories: crowds simulation [57][58][59][60][61][62][63][64][65][66][67][68], emergency plans [69][70][71][72], work environment [73][74][75][76][77][78], educational environment…”

Section: What Applications Have Been Developed With Multi-agent Systems In the Field Of Virtual Reality?mentioning

confidence: 99%

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On the Synergy between Virtual Reality and Multi-Agent Systems

2021

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Multi-agent systems integrate a great variety of artificial intelligence techniques from different fields, these systems have made it possible to create intelligent systems more efficiently. On the other hand, virtual reality applications are accepted as viable techniques in different areas such as visualization, simulation, design, and research. The combined use of these two technologies has led to the development of realistic and interactive applications. This work aims to do a Systematic Mapping Study (SMS) relying on the guidelines of Kitchenham and Petersen to analyze the state of the art of VR applications using multi-agent systems. Inclusion and exclusion criteria have been applied to identify relevant papers, 82 articles were selected and categorized according to the publication type, the research type, the asset type, and the purpose of the work. A complete review of the 82 selected articles was performed, based on the research questions that were established. This review made it possible to clarify the open lines of research that exist and to know where research in this field can be directed.

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