Titlebook: Agent and Multi-Agent Systems: Technologies and Applications; 6th KES Internationa Gordan Jezic,Mario Kusek,Lakhmi C. Jain Conference proce

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Challenges in Unmanned Systems Swarms: A Wireless, Multi-agent Distributed System Perspectivenition of an ’agent’ may be interpreted in the most general sense. This is true for networked swarms of unmanned systems, as well as manned-unmanned systems, where the term ’agent’ may be thought of as (an individual) ’asset’. When considering swarms in (fixed or loose) 2-D/3-D formations, each swar

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Supervision of Agents Modelling Evacuation at Crisis Situationsapplied to an evacuation of an endangered area (EA). The supervisors for agents modelling crisis situations are synthesized and presented here. This makes possible not only the agent cooperation in itself but also to check the evacuation process and guarantee full evacuation of people from EA. Place

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Web Service Compositions Which Emerge from Virtual Organizations with Fair Agreementsut they still lack a negotiation capability. In this paper, we add to our Multiagent component composition system (MACOCO) the negotiation behavior of non-functional requirements, by implementing a modified version of the Zeuthen strategy, which allows both parties to get a fair agreement without kn

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Evaluation of an Intelligent Tutoring System Incorporating Learning Profile to Determine Learning Scsearch on influence of the applied didactic methods on effectiveness of the learning process is required. Therefore, this paper is devoted to presentation of the results of an experiment conducted using prepared prototype of an e-learning system with a personalized courseware. Authors run researches

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Strategy-Based Learning through Communication with Humans. The interaction between agents and humans can be learned to enhance the stability of a system. How can agents adopt strategies of humans to solve conflict situations? In this paper, we present a learning algorithm for agents based on interactions with humans in conflict situations. The learning al

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Ontology Based Knowledge Management and Learning in Multi-Agent Systemi-Agent System (MAS). Both presented knowledge management and learning mechanisms are based on the implemented ontology mechanisms. Proposed MAS solution is based on the Java Agent Development (JADE) framework which is a Java based tool that supports creation of FIPA (Foundation for Intelligent Phys