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Open multi-agent systems (MASs) act as societies in which autonomous and heterogeneous agents can work towards similar or different goals. In order to cope with the heterogeneity, autonomy and diversity of interests among the different agents in the society, open MASs establish a set of behavioral norms that is used as a mechanism to ensure a state of cooperation among agents. Such norms regulate...
With the rapid advances in sensor data collection and communication, heterogeneous and real-time IOT data is increasing rapidly. To make full use of the information, lots of web technologies are introduced to integrate the IOT world and Web world into an unified Web of Things(WOT). While most of the existing efforts are mainly focused on the modeling, annotation, and representation of WOT data, there...
Communication in heterogeneous Multi-Agent Systems is an active area of study in Computer Science. As far as it has been achieved in the last few years, however, to our knowledge there is still little work on integrating ontology-based communication in the semantics of agent programming languages. In this work, we study communication between agents with underlying ontological reasoning. The resulting...
Several advantages can be obtained by allowing multi-agent systems to easily access ontologies, for example, in scenarios where agents make their decisions based on the knowledge provided by ontologies. Thus, this paper presents an infrastructure to allow the use of web ontologies in different agent-oriented platforms. The agents use this infrastructure layer as a tool for storing, accessing and querying...
Although argumentation has been a prominent topic of research in artificial intelligence and in particular agent communication, there has been little work on practical (but provably sound) argumentation approaches integrated with agent programming languages. In this paper, we develop a formally-grounded mechanism for practical argumentation-based dialogues in an agent platform based on a multi-agent...
The BDI (Beliefs, Desires, Intentions) architecture is commonly used for the development of systems of agents situated in complex and dynamic environments. The BDI architecture represents a consolidated model that counts upon substantial theoretical and practical contributions. However, despite the strengths of symbolic models, there are some aspects of the cognitive phenomena that give rise to the...
A growing number of agent technologies are receiving significant attention from both researchers and practitioners. Jason, Moise, and CArtAgO are examples of technologies that support the development of multi-agent systems. On the other hand, semantic technologies, such as ontologies, are becoming established as knowledge representation techniques for large web-based applications. Their development...
Smart homes present complex domains that suit ontological modelling. To be efficient, smart home systems must incorporate domain uncertainty into decision making. But ontologies presently cannot represent and reason under uncertainty. It is thus challenging, developing ontology-based decision-making models that can integrate domain uncertainty. In this paper, we seek a decision network approach as...
Ontologies establish a common and unambiguous terminology for knowledge formal representation and (semi-) automatic reasoning, being gradually applied in Semantic Web services. OntoClean, on the other hand, is a methodology that addresses the creation of clean ontologies, i.e. the creation of taxonomic hierarchies to model properly the concepts in the domain of discourse. Due the lack of stable implementations...
Patients using telehealth systems have different needs and hence their treatments must differ accordingly. Different compositions of smart home sensors, telehealth devices, and services are used depending on the needs of the individual. This paper presents an open and flexible infrastructure implemented as an agent-based environment to handle the problem of seamless integration between the technologies...
Multi-agent systems (MAS) for software construction is an approach that has been applied to different and complex domains that require distributed and intelligent environments. A crucial concern related to MAS is how software agents based on the Belief-Desire-Intention (BDI) model should be tested. An agent is an autonomous and pro-active entity that can exchange information with other agents distributed...
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