Modular structurality and emergent functionality within knowledge representation systems

There are various approaches to ontology metamodelling, and the notion of biologically inspired modular knowledge representation systems can provide insight in the workings of such phenomena as emergent properties of network structures. What is more relevant from knowledge engineering standpoint, such approach could provide innovation and enhancement of the level of expression as well as overall functionality of modular ontologies. To do so, one needs to find biological structures that would be the basis for modularity on different levels of hierarchy within the artificial system. Network analysis tools as well as systems biology and biocomputing provide a framework for research in this field.There are various approaches to ontology metamodelling, and the notion of biologically inspired modular knowledge representation systems can provide insight in the workings of such phenomena as emergent properties of network structures. What is more relevant from knowledge engineering standpoint, such approach could provide innovation and enhancement of the level of expression as well as overall functionality of modular ontologies. To do so, one needs to find biological structures that would be the basis for modularity on different levels of hierarchy within the artificial system. Network analysis tools as well as systems biology and biocomputing provide a framework for research in this field

Towards a meaningful manufacturing enterprise metamodel: a semantic driven framework

This paper presents a deep investigation and an interdisciplinary analysis of the collaborative networked enterprise engineering issues and modelling approaches related to the relevant aspects of the semantic web technology and knowledge strategies. The paper also suggests a novel framework based on ontology metamodelling, knowledge model discovery, and semantic web infrastructures, architectures, languages, and systems. The main aim of the research enclosed in this paper is to bridge the gaps between enterprise engineering, modelling, and especially networking by intensively applying semantic web technology based on ontology conceptual representations and knowledge discovery. The ontological modelling approaches together with knowledge strategies such as discovery (data mining) have become promising for future enterprise computing systems. The related reported research deals with the conceptual definition of a semantic-driven framework and a manufacturing enterprise metamodel (ME_M) using ontology, knowledge-driven object models, standards, and architectural approaches applied to collaborative networked enterprises. The conceptual semantic framework and related issues discussed in this paper may contribute towards new approaches of enterprise systems engineering and networking as well as applied standard and referenced ontological models

Model Driven Combat Effectiveness Simulation Systems Engineering

Model-driven engineering has become popular in the combat effectiveness simulation systems engineering during these last years. It allows to systematically develop a simulation model in a composable way. However, implementing a conceptual model is really a complex and costly job if this is not guided under a well-established framework. Hence this study attempts to explore methodologies for engineering the development of simulation models. For this purpose, we define an ontological metamodelling framework. This framework starts with ontology-aware system conceptual descriptions, and then refines and transforms them toward system models until they reach final executable implementations. As a proof of concept, we identify a set of ontology-aware modelling frameworks in combat systems specification, then an underwater targets search scenario is presented as a motivating example for running simulations and results can be used as a reference for decision-making behaviors

A Multidisciplinary Framework for Concept Evolution: A Research Tool for Developing Business Models

The paper describes a new framework for multidisciplinary concept evolution (MCE). The impetus for systematizing the research concepts was a practical need to facilitate successful communication between different disciplines. The main benefit of the framework is that it aids the complex and dynamic process of conceptualization by highlighting abstraction, generalization, and ontology engineering as practical methods to implement concept evolution. One application of the framework is in solving complex business-related problems. The MCE framework can be utilized not only by researchers but also by other community stakeholders. Applying the framework to scientific disciplines may bring additional value to research as well as benefits to practical development endeavors

Organisational Metamodel for Large-Scale Multi-Agent Systems: First Steps Towards Modelling Organisation Dynamics

The research presented in this paper is a thesis proposal with the main goal of defining an ontology comprising chosen organisational concepts applicable to large-scale multiagent systems (LSMAS), and building a metamodel for modelling selected organisational features in such systems. The method of applying aspects of human organisations to multiagent systems (MAS) comprising autonomous intelligent agents will be enriched through this research with a new perspective of modelling organisation dynamics in LSMAS. Results of this research, in their final version, will be tested using testbed scenarios based on a specific massively multi-player online role-playing game (MMORPG), since MMORPGs are one of the identified application domains of LSMAS. It is important to note that results described in this paper showcase partial results in their early stage of development. Nevertheless, first traces of a modelling tool that is expected to aid in development of LSMAS for numerous application domains, and ease their organisational design, are recognisable in the proposed combination of ontology engineering, metamodelling and code generating methods

Soft thought (in architecture and choreography)

This article is an introduction to and exploration of the concept of ‘soft thought’. What we want to propose through the definition of this concept is an aesthetic of digital code that does not necessarily presuppose a relation with the generative aspects of coding, nor with its sensorial perception and evaluation. Numbers do not have to produce something, and do not need to be transduced into colours and sounds, in order to be considered as aesthetic objects. Starting from this assumption, our main aim will be to reconnect the numerical aesthetic of code with a more ‘abstract’ kind of feeling, the feeling of numbers indirectly felt as conceptual contagions’, that are ‘conceptually felt but not directly sensed. The following pages will be dedicated to the explication and exemplification of this particular mode of feeling, and to its possible definition as ‘soft thought’

Development and validation of a disaster management metamodel (DMM)

Disaster Management (DM) is a diffused area of knowledge. It has many complex features interconnecting the physical and the social views of the world. Many international and national bodies create knowledge models to allow knowledge sharing and effective DM activities. But these are often narrow in focus and deal with specified disaster types. We analyze thirty such models to uncover that many DM activities are actually common even when the events vary. We then create a unified view of DM in the form of a metamodel. We apply a metamodelling process to ensure that this metamodel is complete and consistent. We validate it and present a representational layer to unify and share knowledge as well as combine and match different DM activities according to different disaster situations

Organizacijsko modeliranje višeagentnih sustava velikih razmjera s primjenom na računalne igre

The most popular and frequent methods of conducting a system of agents, of smallor large-scale, are those based on swarm intelligence, and organisational models. Organisational models for multi-agent systems are being developed alongside their role in the modern world. Technological improvements lead to creation of systems comprising thousands, or millions, of agents – large-scale multiagent system (LSMAS). Numerous LSMAS application domains (Internet of Everything (IoE), massively multi-player online games (MMOGs), smart cities, etc.) make LSMAS a genuinely useful concept in the modern era. Recent studies argue higher efficiency of LSMAS with imposed organisation, as opposed to systems with emerging intelligence. This makes organisational modelling of LSMAS a particularly interesting research subject. Organisational model based on ontology comprising LSMAS-related organisational concepts, built conforming to modern organisational perspectives for LSMAS, is a step towards easier LSMAS modelling. The ontology is basis for an organisational metamodel for LSMAS, which, coupled with graph grammars and logic, is suitable for modelling organisational dynamics, especially in the domain of massively multi-player online role-playing games (MMORPGs).Najpoznatiji i najučestaliji oblici uređenja sustava agenata, velikog ili malog razmjera, su oni koji se temelje na inteligenciji roja i oni koji svoje osnove vuku iz organizacijskih modela. Organizacijski modeli višeagentnih sustava razvijaju se usporedno s ulogom takvih sustava u modernom svijetu. Razvojem tehnologije stvaraju se sustavi koji broje tisuće ili milijuneagenata–višeagentnisustavivelikihrazmjera(VASVR).Mnogobrojneaplikacijske domene za VASVR (Internet svega, mrežne računalne igre namijenjene većem broju igrača (MMORPG), pametni gradovi i sl.) čine VASVR realno potrebnim konceptom u moderno doba. Recentna istraživanja ukazuju na veću učinkovitost VASVR uređenih temeljem organizacijske teorije, od onih koji prate inteligencija roja, te je stoga organizacijsko modeliranje VASVR iznimno interesantno podučje za istraživanje. Organizacijski model temeljen na ontologiji organizacijskih koncepata i modernim načelima organizacije VASVR korak je prema lakšem oblikovanju VASVR. Ontologija je baza za organizacijski metamodel za VASVR koji, spojen s gramatikama grafova i logikom, dobiva na prikladnosti za modeliranje organizacijske dinamike, naročito u domeni MMORPG