OperA/ALIVE/OperettA

Comprehensive models for organizations must, on the one hand, be able to specify global goals and requirements but, on the other hand, cannot assume that particular actors will always act according to the needs and expectations of the system design. Concepts as organizational rules (Zambonelli 2002), norms and institutions (Dignum and Dignum 2001; Esteva et al. 2002), and social structures (Parunak and Odell 2002) arise from the idea that the effective engineering of organizations needs high-level, actor-independent concepts and abstractions that explicitly define the organization in which agents live (Zambonelli 2002).Peer ReviewedPostprint (author's final draft

The Challenge of Artificial Socio-Cognitive Systems

This paper is an invitation to carry out science and engineering for a class of socio-technical systems where individuals ¿ who may be human or artificial entities ¿ engage in purposeful collective interactions within a shared web-mediated social space. We put forward a characterisation of these systems and introduce some conceptual distinctions that may help to plot the work ahead. In particular, we propose a tripartite view that highlights the interplay between the institutional models that prescribe the behaviour of participants, the corre- sponding implementation of these prescriptions and the actual performance of the system. Building on this tripartite view we explore the problem of developing a conceptual framework for modelling this type of systems and how that framework can be supported by technological artefacts that implement the resulting models. The last section of this position paper is a list of challenges that we believe are worth facing. This work draws upon the contributions that the MAS community has made to the understanding and realization of the concepts of coordination, norms and institutions from an organisational perspective.The authors wish to acknowledge the support of SINTELNET (FET Open Coordinated Action FP7-ICT-2009-C Project No. 286370) in the writing of this paper.Peer Reviewe

Adaptation of Manufacturing Systems in Dynamic Environment Based on Capability Description Method

publishedVersionPeer reviewe

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

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

Multi-tier agent architecture for open service ecosystems

Proceeding volume: Vol-918Peer reviewe

Modeling Big Data based Systems through Ontological Trading

One of the great challenges the information society faces is dealing with the huge amount of information generated and handled daily on the Internet. Today, progress in Big Data proposals attempt to solve this problem, but there are certain limitations to information search and retrieval due basically to the large volumes handled, the heterogeneity of the information and its dispersion among a multitude of sources. In this article, a formal framework is defined to facilitate the design and development of an Environmental Management Information System which works with an heterogeneous and large amount of data. Nevertheless, this framework can be applied to other information systems that work with Big Data, since it does not depend on the type of data and can be utilized in other domains. The framework is based on an Ontological Web-Trading Model (OntoTrader) which follows Model-Driven Engineering and Ontology-Driven Engineering guidelines to separate the system architecture from its implementation. The proposal is accompanied by a case study, SOLERES-KRS, an Environmental Knowledge Representation System designed and developed using Software Agents and Multi-Agent Systems

09121 Abstracts Collection -- Normative Multi-Agent Systems

From 15.03. to 20.03.2009, the Dagstuhl Seminar 09121 ``Normative Multi-Agent Systems \u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general

An Intelligent Simulation Environment for Manufacturing Systems

The manufacturing field is an area where the application of simulation is an essential tool for validating methods and architectures before applying them on the factory floor. Despite the fact that there are a great number of simulation tools, most of them do not take into account the specific requirements of the new manufacturing era such as distributed organization, interoperability, cooperation, scalability, fault tolerance and agility. On the other hand, Multiagent System technology has demonstrated its utility in manufacturing system modeling and implementation. Agenthood features such as proactivity, reactiv- ity, and sociability may also be useful for associating them with the specific simulation needs of the new changing requirements for manufacturing systems. In this paper, an Agent-supported Simulation Envi- ronment for intelligent manufacturing systems is presented. The different roles that are played by the agents of the simulation environment are defined taking into account the specific dynamic features in manufacturing simulation and the requirements of the new manufacturing era. Moreover, the interaction and cooperation scenarios among these agents are specified to facilitate manufacturing simulation in an appropriate and flexible way. A detailed evaluation study, with regards to the new manufacturing era requirements, demonstrates the advantages of the proposed approach over current state-of-the-art proposals.Ruíz Vega, N.; Giret Boggino, AS.; Botti Navarro, VJ.; Feria, V. (2014). An Intelligent Simulation Environment for Manufacturing Systems. Computers and Industrial Engineering. 76:148-168. doi:10.1016/j.cie.2014.06.013S1481687

Proceedings of The Multi-Agent Logics, Languages, and Organisations Federated Workshops (MALLOW 2010)

http://ceur-ws.org/Vol-627/allproceedings.pdfInternational audienceMALLOW-2010 is a third edition of a series initiated in 2007 in Durham, and pursued in 2009 in Turin. The objective, as initially stated, is to "provide a venue where: the cost of participation was minimum; participants were able to attend various workshops, so fostering collaboration and cross-fertilization; there was a friendly atmosphere and plenty of time for networking, by maximizing the time participants spent together"