[서평]「Component Software」 - Beyond Object-Oriented Programming -

away from the underlying programming language in favour of using graphical means of programming, such as wizards and statecharts. Platforms. Closed frameworks such as DESIRE, strongly based on a platform, provide more complete solutions than others such as Jadex or TuCSoN. They usually offer an agent architecture and a system model, very useful for novel developers, together with the communication infrasA SURVEY OF LANGUAGES AND PLATFORMS. . . Informatica 30 (2006) 33–44 41 tructure and a range of robust services, such as directory facilitators, agent management services, and monitoring facilities. As a drawback, closed frameworks limit the development. For example, the design approach of the framework may not fit certain domain problems. Perhaps that is the reason why most researchers tend to use more open solutions. Currently, the most popular solution is to use JADE as underlying agent infrastructure combined with some other (higher-level) approach to program the agents’ behaviour. When dealing with more general frameworks (rather than tied to a platform), their use (i.e., defining the agents that will run within it, together with the required services and resources) should be automated as much as possible, in part to free the developer from low-level details (e.g. location of the configuration files, their concrete syntax, etc.). Despite this, few existing frameworks have IDE support. Concerning the paradigm of communication used, there are several on offer, often being an important issue when choosing which framework to adopt. TuCSoN is representative of tuple-centred communication, JADE of message passing, and DESIRE of data flow among processes. The various approaches mentioned along this survey indicate that there is still much work to be done. Among the major challenges faced by this research community are: – The conception and development of specialised debugging tools, in particular for cognitive agent languages; – The integration of agent tools into existing IDEs, rather than starting from scratch; – The separation of MAS frameworks from agent platforms, so that each framework can be used for deploying systems on a variety of platforms. – The dissemination of the MAS programming paradigm, so that programmers have a better understanding of its foundations as well as practical characteristics. We believe that the recent developments surveyed here show a lively interest in this area of research. Despite the large number of open issues and challenges, we expect that the experience gathered in developing MAS with these tools will take us closer to a more mature programming paradigm. Arguably, this is one of the few concrete ways for allowing wider audiences to use in practice, and in a systematic way, the various techniques that the MAS research community has developed over the last two decades.

/pdf/a-heading-maintaining-oriented-compression-algorithm-for-gps-n61mo0y08w.pdf

A Heading Maintaining Oriented Compression Algorithm for GPS Trajectory Data

http://rc.rcjournal.com/content/respcare/53/1/104.full.pdf

Handbook of Disaster Research.

Modeling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the resulting complexity of models, Axelrod promoted the KISS principle: " Keep It Simple, Stupid ". But the community is divided and a new principle appeared: KIDS, " Keep It Descriptive Simple ". Richer models were thus developed for a variety of phenomena, while agent cognition still tends to be modelled with simple reactive particle-like agents. This is not always appropriate, in particular in the social sciences trying to account for the complexity of human behaviour. One solution is to model humans as BDI agents, an expressive paradigm using concepts from folk psychology, making it easier for modellers and users to understand the simulation. This paper provides a methodological guide to the use of BDI agents in social simulations, and an overview of existing methodologies and tools for using them.

https://hal.inria.fr/hal-01363962/document

BDI agents in social simulations: a survey

Understanding Agent Systems.

Agent Based modeling (ABM) platforms such as Repast and its predecessors are popular for developing simulations to understand complex phenomenon and interactions. Such simulations are increasingly used as support tools for policy and planning. This work takes a Belief Desire Intention (BDI) agent platform and embeds it into Repast, to support more powerful modeling of human behavior. We describe the issues faced in integrating the two paradigms, and how we addressed these issues to leverage the relevant advantages of the two approaches for real world applications.

/pdf/integrating-bdi-reasoning-into-agent-based-modeling-and-4ujtoi37w1.pdf

Integrating BDI reasoning into agent based modeling and simulation

The Component Agent Framework for domain-Experts (CAFnE) toolkit is an extension to the Prometheus Design Tool (PDT) It uses the detailed design produced by PDT with further annotations by domain experts to automatically generate executable code into a desired agent platform The key feature of CAFnE is that it allows domain experts with limited programming skills to easily build and modify agent systems

Component Agent Framework for domain-Experts (CAFnE) toolkit

Developing agent-oriented systems is still a difficult task. However, a component-based approach can help by supporting both modular modification of existing systems and construction of new systems from existing parts. In this paper we develop a foundation (conceptual model) for a component-based agent development framework by extending the concepts of the SMART framework. We apply our definitions to an existing agent application in order to both refine the definitions, and to evaluate the extent to which the model is able to support modification of existing systems. A prototype toolkit called Component Agent Framework for non-Experts (CAFnE) that implements the component framework is also explained briefly.

/pdf/a-model-driven-component-based-development-framework-for-4t95xugjsu.pdf

A model driven component-based development framework for agents

Scenarios in current design methodologies, provide a natural way for the users to identify the inputs and outputs of the system revolving around a particular interaction process. A scenario typically consists of a sequence of steps which captures a particular run of the system and satisfies some aspect of the requirements. In this work we add additional structure to the scenarios used in the Prometheus agent development methodology. This additional structure then facilitates both traceability and automated testing. We describe our process for mapping the scenarios and their steps to the initial detailed design, where we then maintain the traceability as the design develops. The structured action lists that we define for both scenarios and their variations provides the basis for facilitating automated testing of system behavior. We describe how we use the newly defined structure within the scenarios to facilitate testing, describing how we automate test case generation, execution and analysis.

/pdf/scenarios-for-system-requirements-traceability-and-testing-2iljsgg9gk.pdf

Scenarios for system requirements traceability and testing

This paper develops a methodology to design a Container Terminal Operation Simulation (CTOS), which simulates the vulnerability of port operations to extreme weather events. In CTOS, an agent based model was built for a container terminal at the Port of Sydney to simulate the operations of port operational assets such as cranes, straddle carriers and trucks to observe the individual and collective behaviour under various extreme weather events using a set of Key Performance Indicators (e.g. crane rates, straddle productivity, truck queue length, yard utilisation). The CTOS results show that the crane throughput loss due to six hours of heavy rain and six hours of high speed wind (separately) is 13 per cent within a 24 hour period. While high speed wind and heavy rain have the highest impact on the crane throughput, high speed wind and flooding in the port area leads to a backlog in servicing trucks. Using a single terminal for the purpose of the simulation, as opposed to the entire Sydney Port, is a limitation. However, the CTOS is designed and coded in a manner that permits its modification such that it can be applied to other port contexts. CTOS offers a versatile tool for port authority to enable estimating performance implications of extreme weather-related disruptions to port operations. CTOS provides an effective proof of concept prototype where the system architecture can be reused in developing an open generic port operations model.

https://ojs-lib2-test.tudelft.nl/ejtir/article/download/3121/3308

Gaya Jayatilleke

Papers

Integrating BDI reasoning into agent based modeling and simulation

Component Agent Framework for domain-Experts (CAFnE) toolkit

A model driven component-based development framework for agents

Scenarios for system requirements traceability and testing

Container terminal operations simulator (CTOS): simulating the impact of extreme weather events on port operation