In order to develop high quality simulation models, methodological approaches are demanded. In such direction we are moving by proposing a heuristic for the formalization of agent based simulation problems. The proposed heuristic is based on some guidelines developed for identifying the main elements of the problem domain description by analysing verbs and their common taxonomy in grammar. Weiss G.
Holonic Multi Agent Systems HMAS is spreading for the development of such systems since they allow to manage system requirements in terms of behaviors and organizational patterns. Traditional software engineering metrics are not useful for measuring HMAS architectures since they do not consider different nested levels of organizational structures. We want to contribute to this issue proposing some metrics for evaluating modularity and extensibility of HMAS architectures.
All rights reserved. Nowadays, software systems are more and more frequently designed in order to realize complex dynamical behavior for solving complicated problems. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders mainly users that will be the first consumers of the system , the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information.
Hence, the need to find a fruitful way for knowledge management and its representation at design time. In this paper we propose a set of abstractions to be used during the early requirements analysis of AmI systems development. The result is a simple and at the same time powerful set of concepts and guidelines for providing environment knowledge representation for AmI systems.
Current trends in the AI's evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. It is important to note that in this context the inclusion of citizens and their devices is a key factor for reaching smartness. Data from mobile devices are increasingly used in everyday activities and have to be considered a useful means for handling and analyzing knowledge and communications. This paper shows how to represent important data when dealing with smartness by creating an analogy between the representation of human brain areas, activated when specific tasks are performed, and groups of students when behaviors or needs arise.
The brain traffic concepts have been used for representing data and information exchanged in the University of Palermo campus. Intelligence or smartness in an urban environment implies several factors directed to improve quality of life and efficiency. Simulation study aims at developing simulation models useful for representing, studying and analyzing entities and their behavior in a system according to specific purposes. With our work we are trying to understand what are the right elements to be considered and included in the description of a simulation problem. In order to root our resulting metamodel in the state of the art of multi-agent simulations we started from the study of twelve papers dealing with four different application domains: Crowd Dynamics, Traffic and Transportation, Electricity Power Engineering and Supply Chain and Logistic.
From this study we obtained a metamodel that may be used by an analyst as a guideline and concept repository for facing a new system design. The metamodel is the result of a well defined approach that is described together with the obtained results consisting in one core metamodel containing elements that are common to all the four application domains and some domain extension contents.
These latter contain the elements that are specific of each of the studied domains and are not present in the others. It is well known that the multi-agent system paradigm is well suited for modelling and developing simulations of complex systems belonging to several application domains. To this aim it is common the integration of goal oriented analysis techniques with the design and implementation phases. In this fashion, our experience is that the use of an ontology in the early stages of the process is a great support for subsequent phases: goal modeling, agent design and implementation.
However, we are aware that building and maintaining an ontology has to be supported by appropriate tools.
Designing and developing BDI multi-agent systems would be facilitated by rising up the level of abstraction to use and by a methodological approach for managing it. As a result, a broad range of special-purpose design processes has been developed in the last several years to tackle the challenges of these specific application domains. In this context, in early the IEEE-FIPA Design Process Documentation Template SCB was defined, which facilitates the representation of design processes and method fragments through the use of standardized templates, thus supporting the creation of easily sharable repositories and facilitating the composition of new design processes.
Following this standardization approach, this book gathers the documentations of some of the best-known agent-oriented design processes.
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- Agent-Oriented Software Engineering X;
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- Handbook on Agent-Oriented Design Processes!
After an introductory section, describing the goal of the book and the existing IEEE FIPA standard for design process documentation, thirteen processes including the widely known OpenUP, the de facto standard in object-oriented software engineering are documented by their original creators or other well-known scientists working in the field. As a result, this is the first work to adopt a standard, unified descriptive approach for documenting different processes, making it much easier to study the individual processes, to rigorously compare them, and to apply them in industrial projects.
While there are a few books on the market describing the individual agent-oriented design processes, none of them presents all the processes, let alone in the same format.
1. Citing SARL
With this handbook, for the first time, researchers as well as professional software developers looking for an overview as well as for detailed and standardized descriptions of design processes will find a comprehensive presentation of the most important agent-oriented design processes, which will be an invaluable resource when developing solutions in various application areas. All rights are reserved. To deal with the flexible architectures and evolving functionalities of complex modern systems, the agent metaphor and agent-based computing are often the most appropriate software design approach.
The models and phases of PASSI encompass anthropomorphic representation of system requirements, social viewpoint, solution architecture, code production and reuse, and deployment configuration supporting mobility of agents. PASSI is made up of five models, concerning different design levels, and 12 activities performed to build multiagent systems.
PASSI a Process for Agent Societies Specification and Implementation is a step-by-step requirement-to-code methodology for designing and developing multiagent societies, integrating design models and concepts from both Object-Oriented software engineering and artificial intelligence approaches using the UML notation.
Situational Method Engineering SME discipline aims at determining techniques and tools for developing ad hoc design methodologies. SME mainly and highly focuses on the reuse of portion of existing design processes or methodologies the method fragments. In order to have means for creating SME techniques and tools and for creating new design processes, some key elements are needed: a unique process metamodel for representing design processes and fragments, a proper template for the description of AO design processes and for the description of method fragments.
It is part of the Eclipse Process Framework and embraces a pragmatic, agile philosophy that focuses on the collaborative nature of software development.
It is a tools-agnostic, low-ceremony process that can be extended to address a broad variety of project types. The project lifecycle provides stakeholders and team members with visibility and decision points throughout the project and makes them able to manage their work through micro-increments. The Open Unified Process OpenUp is an iterative design process that structures the project lifecycle into four phases: Inception, Elaboration, Construction, and Transition.
The problem is the lack of design processes able to cover all the features these systems present. This paper presents an extension of the ASPECS metamodel for supporting organizational and normative principles and it allows to define models not only from an holonic agent viewpoint but also from a normative organization perspective.
Moreover, our work emphasizes and makes it explicit the norms that regulate the structural, behavioral and finally adaptive aspect of an organizational system. The extended metamodel was experimented creating a Virtual Enterprise model for the optimization of distributions inside the logistic districts. This organizational model is implemented using JaCaMo. Modeling and designing systems that require a high level of coordination, control and automation is a very difficult task.
In computer science, the awareness is a topic of increasing relevance in both Software Engineering and Artificial Intelligence, being closely related to autonomy and proactiveness. We can distinguish two orders of awareness: the first order is the awareness of the environment also known as context-awareness; conversely, self-awareness is a higher order awareness knowledge about one's own mental states. Nowadays, many agent oriented languages offer native instruments to implement context-awareness.
However, self-awareness is not adequately supported and it requires further considerations. This paper focuses on implementation techniques, based on JASON, for creating software agents able to dynamically reason about their knowledge of the environment, as well as on their missions, capabilities and current execution state. In Philosophy, the term awareness is often associated to theories of consciousness and self-referential behavior. Engineering and modeling this kind of systems is a hard task due to the lack of techniques for developing and implementing features like learning, knowledge, experience, memory, adaptivity in an inter-modular fashion.
We propose a new concept of intelligent agent as abstraction for developing biologically cognitive architectures. Biologically inspired cognitive architectures are complex systems where different modules of cognition interact in order to reach the global goals of the system in a changing environment.
The creation of a repository implies the fragmentation of existing agent design processes. In this paper we propose a set of guidelines for extracting fragments from agent design processes. As a result, this is the first work to adopt a standard, unified descriptive approach for documenting different processes, making it much easier to study the individual processes, to rigorously compare them, and to apply them in industrial projects.
Massimo Cossentino has been a research scientist at the Italian National Research Council since His research focuses on agent-oriented software engineering, specifically on the composition of design processes, agent meta-models, and agent patterns. His main areas of research are: multi-agent and holonic systems, languages for formal specification and proofs of multi-agent systems, and agent-mediated knowledge management.
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Free Preview. First comprehensive overview of the 13 most important agent-oriented software design processes in a standardized format Includes the widely known Open UP design process, the de facto standard in object-oriented software engineering Descriptions are based on the IEEE-FIPA Design Process Documentation Template SCB, which allows different design processes to be easily compared Each design process is described by its original creators or well-known researchers in the field see more benefits.
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Buy Softcover. FAQ Policy. About this book To deal with the flexible architectures and evolving functionalities of complex modern systems, the agent metaphor and agent-based computing are often the most appropriate software design approach.