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In the core of semantic Web, ontology works as the backbone for any semantic applications and technology. Maintaining ontologies is a major challenge for ontology researchers. Ontology maintenance process includes many tasks starting from combining smaller ones till versioning of the ontology. There are three different approaches to maintain ontologies: manual, semi-automatic and fully automatic approaches...
The paper describes the framework for management of knowledge represented in the form of default theories in a multi-agent system. The process covers the knowledge acquisition as well as its further sharing and transformation. It is shown how two approaches to default rules transformation proposed before can be merged into a coherent system.
A contemporary governance challenge for governments concerns the biogas domain: what incentives and policies can lead to a viable biogas economy? To support addressing this challenge, a prototype of a simulator is constructed in which horizontal governance is applied in a multi-stakeholder context. This paper reports on the modelling and knowledge acquisition that led to the development of that prototype...
This paper tackles the issue of ambient systems adaptation to users' needs while the environment and users' preferences evolve continuously. We propose the adaptive multi-agent system Amadeus whose goal is to learn from users' actions and contexts how to perform actions on behalf of the users in similar contexts. However, considering the possible changes of users preferences, a previously learnt behaviour...
Numerous mathematical and computer models were used to simulate a situation on a battlefield. We introduce Petro, a new agent-based model of historical warfare, designed to maintain a structure of command between a regiment and its soldiers. It can model various tactics of different kinds of military forces and is simple enough to build massive simulations. We use the model to simulate the warfare...
Distributed Constraint Optimization Problems (DCOPs) are applied to resource allocation problems in resource supply networks. In previous studies, distributed cooperative solution methods based on feeder trees have been utilized. However, in most cases with resource supply networks, the size of variable's domains in the problems is very large, since the variables originally take continuous values...
In recent years, the study of norm-regulated multi-agent systems (MAS) has attracted a lot of attention. The Kanger-Lindahl theory of normative positions has great potential of serving as the logical foundation for normative systems for MAS, but its generality, which allows for great freedom when interpreting the theory, may also become a challenge for practical applications. As an important step...
Complex software systems development require appropriate high-level features to better and easily tackle the new requirements in terms of interactions, concurrency and distribution. This requires a paradigm change in software engineering and corresponding programming languages. We are convinced that agent-oriented programming may be the support for this change by focusing on a small corpus of commonly...
Coordinating the joint-actions of agents in cooperative multiagent systems is a difficult problem in many real world domains. Learning in such multiagent systems can be slow because an agent may not only need to learn how to behave in a complex environment, but also to account for the actions of other learning agents. The inability of an agent to distinguish between the true environmental dynamics...
Agent-oriented approaches highlight logistic concepts which give structure to large distributed systems. We present an innovative cooperative agent-based model for Crisis Management Supply Chain in order to solve a highly-distributed delivery scheduling problem. The Supply Chain studied in this work is complex and composed of several elements such as transport means, suppliers, areas in need, resources,...
Cloud computing services are rapidly gaining popularity with more and more businesses actively migrating to the cloud, and many new cloud providers emerging. In such circumstances, there is a need for a market platform that allows for automated trading of cloud services between numerous independent users. Therefore, in this paper we propose Smart Cloud Marketplace (SCM) as a platform for trading cloud...
The paper describes the architecture for processing of Big Data in real-time based on multi-agent system paradigms. The overall approach to processing of offline and online data is presented. Possible applications of the architecture in the area of recommendation system is shown, however it is argued the approach is general purpose.
The growing number of services available within social applications (viz. Social networks) raises a new and challenging search issue: selecting desired services from social networks. Traditional discovery and selection approaches, which are registry-based (e.g., UDDI, ebXML), have manifested their limitations as they often fall behind users' expectations. This is because registries fail to (i) take...
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