Planning is a well known and studied field of Artificial Intelligence. Multi-Agent Planning concerns the construction of plans for a group of autonomous agents that can interact. The aim of multi-agent planning is to automatically find a solution such that, if every agent executes successfully his plan, the environment changes to a goal state. The solution can be found either by centralized or ...

Laws have been used to deal with theoretical and practical issues regarding notions of openness and unpredictably of open multiagent systems. In order to achieve a higher degree of predictability and confidence, practical applications of distributed agents need to describe the interaction structure of the system, and this interaction structure must be regulated. Governing agent interactions can...

This paper proposes a new approach to multi-agent systems leveraging from recent advances in networking and reinforcement learning to scale up teamwork based on joint intentions. In this approach, teamwork is subsumed by the coordination of learning agents. The intuition behind this approach is that successful coordination at the global level generates opportunities for teamwork interactions at...

Multi-agent systems where the agents are developed by parties with competing interests, and where there is no access to an agent’s internal state, are often classified as ‘open’. The members of such systems may inadvertently fail to, or even deliberately choose not to, conform to the system specification. Consequently, it is necessary to specify the normative relations that may exist between th...

Open pelvic fractures are devastating injuries, rare, and with high mortality. Leading causes of mortality are: haemorrhage, infection associated injuries. The aim this paper is to point out methods treating these injuries great number prognostic factors. Material - in period from January 2011 December 2015, 221 patients pelvis ringfracture were treated three large clinical centers Serbia, whic...

To safeguard the privacy and security of IoT systems, specific emitter identification is utilized to recognize device identity with hardware characteristics. In view growing demand for identifying unknown devices, this paper aims discuss open-set identification. We firstly build up a problem formulation SEI by discussing working mechanisms radio signals recognition. And then it pointed out that...

The demand of computer systems that integrate heterogeneous and autonomous entities and institutions is increasing. These entities and institutions usually coexist in a complex social and legal framework that can evolve to address the different and often conflicting objectives of the many stakeholders involved. In this paper, we present ROMAS, an agent-oriented methodology that guides developer...

This paper presents our ongoing work for dynamic contextual regulations in open multi-agent systems – called DynaCROM. DynaCROM is a straightforward method to smoothly apply and manage regulations in open multi-agent systems, enforcing customized compositions of contextual laws. DynaCROM is based on a top-down modeling of contextual laws, on a normative meta-ontology for laws semantics and on a...