AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2017
Sabatucci, Luca; Cossentino, Massimo
Self-Adaptive Smart Spaces by Proactive Means– End Reasoning Journal Article
In: Journal of Reliable Intelligent Environments, vol. 3, pp. 159–175, 2017.
Abstract | Links | BibTeX | Tags: Architecture, Health care application, Self-Adaptive Systems, Smart Environment
@article{sabatucciSelfadaptiveSmartSpaces2017,
title = {Self-Adaptive Smart Spaces by Proactive Means– End Reasoning},
author = { Luca Sabatucci and Massimo Cossentino},
doi = {10.1007/s40860-017-0047-9},
year = {2017},
date = {2017-01-01},
journal = {Journal of Reliable Intelligent Environments},
volume = {3},
pages = {159--175},
abstract = {The ability of a system to change its behavior at run-time is one of the foundations for engineering intelligent environments. The vision of computing systems that can manage themselves is fascinating, but to date, it presents many intellectual challenges to face. Run-time goal-model artifacts represent a typical approach to communicate requirements to the system and open new directions for dealing with self-adaptation. This paper presents a theoretical framework and a general architecture for engineering self-adaptive smart spaces by breaking out some design-time constraints between goals and tasks. The architecture supports software evolution because goals may be changed during the application lifecycle. The architecture is responsible for configuring its components as the result of a decision-making algorithm working at the knowledge level. The approach is specifically suitable for developing smart space systems, promoting scalability and reusability. The proposed architecture is evaluated through the execution of a set of randomized stress tests.},
keywords = {Architecture, Health care application, Self-Adaptive Systems, Smart Environment},
pubstate = {published},
tppubtype = {article}
}
The ability of a system to change its behavior at run-time is one of the foundations for engineering intelligent environments. The vision of computing systems that can manage themselves is fascinating, but to date, it presents many intellectual challenges to face. Run-time goal-model artifacts represent a typical approach to communicate requirements to the system and open new directions for dealing with self-adaptation. This paper presents a theoretical framework and a general architecture for engineering self-adaptive smart spaces by breaking out some design-time constraints between goals and tasks. The architecture supports software evolution because goals may be changed during the application lifecycle. The architecture is responsible for configuring its components as the result of a decision-making algorithm working at the knowledge level. The approach is specifically suitable for developing smart space systems, promoting scalability and reusability. The proposed architecture is evaluated through the execution of a set of randomized stress tests.
2004
Cossentino, Massimo; Sabatucci, Luca
Agent System Implementation Book Section
In: Agent-Based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance. CRC Press, Boca Raton, 2004, ISBN: 1-57444-336-4.
Abstract | BibTeX | Tags: Agents, Architecture, FIPA, JADE
@incollection{cossentinoAgentSystemImplementation2004,
title = {Agent System Implementation},
author = { Massimo Cossentino and Luca Sabatucci},
isbn = {1-57444-336-4},
year = {2004},
date = {2004-01-01},
booktitle = {Agent-Based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance. CRC Press, Boca Raton},
abstract = {The systematic study of the development of agent systems has a recent history. Little time has elapsed since the scientific world perceived the promise of using the agent paradigm to solve a great variety of problems. This realization prompted many researchers to design, independently, their own infrastructures on which to activate their own agents. The result working proposals were often optimal, very efficient for a specific problem domain, but not devoid of some defects. The programming language, the communication paradigm, and other technical details generally made these frameworks unsuitable for purposes other than those for which a given approach was originally conceived. The total absence of genuine attention towards the system design and development process (and consequent documentation) often stymied the growth, scalability and maintenance of these applications. Furthermore, systems were developed without regard to compliance to any standard, thereby creating agents so significantly diverse that they were unable to interact with each other across different frameworks. Now that agent technology has come of age, these solutions, while good for a first experimental phase, , are inadequate for the true uptake of this paradigm. The importance of standardization is such a pivotal issue that an international organization, the Foundation for Intelligent Physical Agents (FIPA), was founded to promote the intelligent agent industry by openly developing specifications supporting interoperability among agents and agent- based applications. A new and very active field, agent-oriented software engineering is now dealing with the problem of identifying the proper design method for a multi-agent systems. In this chapter we deal with all of these themes, first discussing the key features of FIPA specifications in order to position and define widespread concepts like agent, behavior, and communication in a reference context, and then presenting a complete design process (adopting the PASSI methodology) applied to the PPS-Bikes' system case study. In more detail, the chapter is articulated as follows: in paragraph 5.2 the standard architecture designed by FIPA for an agent platform is examined, describing the mandatory components that each platform has to implement, then in paragraph 5.3, using the practical example of the PPS-Bikes' system, the fundamentals guiding the implementation of a multi agent system, starting from the initial design down to the code implementation, are illustrated.},
keywords = {Agents, Architecture, FIPA, JADE},
pubstate = {published},
tppubtype = {incollection}
}
The systematic study of the development of agent systems has a recent history. Little time has elapsed since the scientific world perceived the promise of using the agent paradigm to solve a great variety of problems. This realization prompted many researchers to design, independently, their own infrastructures on which to activate their own agents. The result working proposals were often optimal, very efficient for a specific problem domain, but not devoid of some defects. The programming language, the communication paradigm, and other technical details generally made these frameworks unsuitable for purposes other than those for which a given approach was originally conceived. The total absence of genuine attention towards the system design and development process (and consequent documentation) often stymied the growth, scalability and maintenance of these applications. Furthermore, systems were developed without regard to compliance to any standard, thereby creating agents so significantly diverse that they were unable to interact with each other across different frameworks. Now that agent technology has come of age, these solutions, while good for a first experimental phase, , are inadequate for the true uptake of this paradigm. The importance of standardization is such a pivotal issue that an international organization, the Foundation for Intelligent Physical Agents (FIPA), was founded to promote the intelligent agent industry by openly developing specifications supporting interoperability among agents and agent- based applications. A new and very active field, agent-oriented software engineering is now dealing with the problem of identifying the proper design method for a multi-agent systems. In this chapter we deal with all of these themes, first discussing the key features of FIPA specifications in order to position and define widespread concepts like agent, behavior, and communication in a reference context, and then presenting a complete design process (adopting the PASSI methodology) applied to the PPS-Bikes' system case study. In more detail, the chapter is articulated as follows: in paragraph 5.2 the standard architecture designed by FIPA for an agent platform is examined, describing the mandatory components that each platform has to implement, then in paragraph 5.3, using the practical example of the PPS-Bikes' system, the fundamentals guiding the implementation of a multi agent system, starting from the initial design down to the code implementation, are illustrated.