scholarly journals Reasoning About Agents’ Interaction Protocols Inside DCaseLP

Author(s):  
M. Baldoni ◽  
C. Baroglio ◽  
I. Gungui ◽  
A. Martelli ◽  
M. Martelli ◽  
...  
Author(s):  
Matteo Baldoni ◽  
Cristina Baroglio ◽  
Alberto Martelli ◽  
Viviana Patti ◽  
Claudio Schifanella

2007 ◽  
Vol 70 (1) ◽  
pp. 53-73 ◽  
Author(s):  
Matteo Baldoni ◽  
Cristina Baroglio ◽  
Alberto Martelli ◽  
Viviana Patti

Author(s):  
Anet Potgieter ◽  
Judith Bishop

Most agent architectures implement autonomous agents that use extensive interaction protocols and social laws to control interactions in order to ensure that the correct behaviors result during run-time. These agents, organized into multi-agent systems in which all agents adhere to predefined interaction protocols, are well suited to the analysis, design and implementation of complex systems in environments where it is possible to predict interactions during the analysis and design phases. In these multi-agent systems, intelligence resides in individual autonomous agents, rather than in the collective behavior of the individual agents. These agents are commonly referred to as “next-generation” or intelligent components, which are difficult to implement using current component-based architectures. In most distributed environments, such as the Internet, it is not possible to predict interactions during analysis and design. For a complex system to be able to adapt in such an uncertain and non-deterministic environment, we propose the use of agencies, consisting of simple agents, which use probabilistic reasoning to adapt to their environment. Our agents collectively implement distributed Bayesian networks, used by the agencies to control behaviors in response to environmental states. Each agency is responsible for one or more behaviors, and the agencies are structured into heterarchies according to the topology of the underlying Bayesian networks. We refer to our agents and agencies as “Bayesian agents” and “Bayesian agencies.”


2011 ◽  
Vol 5 (1) ◽  
pp. 71-75
Author(s):  
Marco Alberti ◽  
Marco Gavanelli ◽  
Evelina Lamma ◽  
Fabrizio Riguzzi ◽  
Sergio Storari

Author(s):  
Pablo David Villarreal ◽  
Enrique Salomone ◽  
Omar Chiotti

This chapter describes the application of MDA (model driven architecture) and UML for the modeling and specification of collaborative business processes, with the purpose of enabling enterprises to establish business-to-business collaborations. The proposed MDA approach provides the components and techniques required for the development of collaborative processes from their conceptual modeling to the specifications of these processes and the partners’ interfaces in a B2B standard. As part of this MDA approach, a UML profile is provided that extends the semantics of UML2 to support the analysis and design of collaborative processes. This UML profile is based on the use of interaction protocols to model collaborative processes. The application of this UML profile in a case study is presented. Also, an overview is provided about the automatic generation of B2B specifications from conceptual models of collaborative processes. In particular, the generation of B2B specifications based on ebXML is described.


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