Bogdan Okreša Đurić

Organizational Metamodel for Large-Scale Multi-Agent Systems

The main objective of this research is to ease organizational design of large-scalemulti-agent systems (LSMAS)development.Methods includingontology engineering, metamodeling and code generation are proposed to achieve the set goal. The resulting modeling tool is expected to aid in development of LSMAS for numerous application domains.The main objective of this research is to ease organizational design of large-scale multi-agent systems (LSMAS) development. Methods including ontology engineering, metamodeling and code generation are proposed to achieve the set goal. The resulting modeling tool is expected to aid in development of LSMAS for numerous application domains.

Modeling Smart Self-sustainable Cities as Large- Scale Agent Organizations in the IoT Environment

This chapter provides an overview of modeling techniques for large-scale systems in the Internet of Things (IoT) environment with a special accent on smart self-sustainable cities. The authors present a framework for modeling Large-Scale Multi-Agent Systems (LSMASs) including a graphical modeling language, and a tool, that aim to facilitate development of such systems in a recursive fashion. Smart self-sustainable cities in this chapter are modeled using this language that forms the basis for the Smart Self-Sustainable Human Settlements (SSSHS) framework developed by the authors. The SSSHS framework consists of several sustainability mechanisms which attempt to facilitate the self-sustainability of a human settlement by managing resources such as water, electricity, and heating, based on the current needs, production, and storage using a detailed agent-based methodology. By integrating these two frameworks (LSMAS and SSSHS), the authors show a recursive and layered approach that is able to model large-scale resource management systems in a hierarchical manner by using IoT technologies.

Towards Modelling Organisational Dynamics for Large-Scale Multiagent Systems

The research proposed here aims at providing a novel organisational metamodel for Large-Scale Multiagent System (LSMASs), with special emphasis on modelling organisational dynamics. Ontology used for the metamodel will comprise selected concepts of human organisation applicable to LSMAS and a particular application domain thereof, Massively Multi-player Online Role-Playing Game (MMORPGs). Practical results include code-generating feature of the modelled system.

Agents as Bots – An Initial Attempt Towards Model-Driven MMORPG Gameplay

Massively multi-player on-line role-playing games (MMORPGs) present a large-scale, digital environment that fosters organizational behaviour of players in which multi-agent systems (MASs) can be used for various purposes including but not limited to automated testing, bot detection or analysis of social player behaviour and human – artificial agent interaction. A work-in-progress model-driven MAS development environment for such games is presented. An open-source MMORPG called The Mana World (TMW) is used as an example scenario on which the various components of the system are tested.