The paper provides a short survey of research on agent-based approaches to transportation. The authors presents the problem domain of multi-agent systems and shows the connection with the decision support systems (DSS) and distributed artificial intelligence (DAI). A general conclusion of this study is that agent-based systems are very suitable for transportation domain. Last chapter presents the conception of framework for agent-based traveler assistance decision support system based on European ITS Framework Architecture – FRAME. The general purpose of this framework is to create basis for interoperable real-time traveler information systems that are flexible and scalable in terms of adding new agents.
PL
Niniejszy referat przedstawia przegląd badań w zakresie zastosowania aplikacji agentowych w transporcie. Autorzy prezentują obszar naukowy, jakim są systemy wieloagentowe i wskazują na ich związek z innymi dyscyplinami naukowymi takimi jak systemy wspomagania decyzji (DSS) oraz rozproszonej sztucznej inteligencji (DAI). Ogólny wniosek jaki został wypracowany z niniejszego referatu jest taki, iż systemy wieloagentowe doskonale sprawdzają się w obszarze transportu. Przedstawiono koncepcję systemu wspomagania decyzji dla podróżujących, której bazą jest Europejska Ramowa Architektura Inteligentnych Systemów Transportowych FRAME, a implementacją usługa oparta o systemy wieloagentowe.
2
Dostęp do pełnego tekstu na zewnętrznej witrynie WWW
Purpose: Analysis is made of requirements posed by tasks of agents operating in the intelligent manufacturing systems and their resulting architecture is presented. Design/methodology/approach: Architecture of agent systems for industrial environment is presented, making it possible to generate the particular agents customised for the specific tasks, based on the automatic analysis of its required features. Findings: Extension of cellular automata approach underlying the conventional agent behaviour specification using the Fuzzy Cognitive Maps is presented in conjunction with the neural networks providing learning capability of the agents designed for the various levels of the manufacturing supervisory and execution systems. Adding reaction time specification to FCM makes it possible to analyse and design systems with the required behaviour. Research limitations/implications: Specific features of the designed agent architecture have been tested as separate mechanisms which can be merged into the final comprehensive at a later stage. Originality/value: Agent architecture is proposed for the industrial applications of single agents and their groups that can collaborate to achieve the individual and joint goals specified in reaction to changing environment conditions and into their agendas in XML format. Automatic generation of custom agent reactions models can be carried out based on a set of requirements that may be specified in the if-then rules form.
3
Dostęp do pełnego tekstu na zewnętrznej witrynie WWW
Purpose: Modelling of the agent based systems is presented along with a brief description of the relevant software toolkit. Design/methodology/approach: Areas of activity of the agent systems are presented, split into their internal and external domains, recognition of their world's state of affairs as well as planning of actions to affect their environment. Findings: Overview of the approach to development of the agent based systems from the general goal notion to its constituent elements, like plans and tasks. The proposed hybrid control structure allows both the horizontal level negotiations among the local agents and the vertical intervention by supervisory agents; therefore, such attitude makes also possible the multi-task and many-to-many negotiations. The result is the global control and the possibility of the decentralized negotiation. Research limitations/implications: Modelling LPA Chimera toolkit is based on Prolog which supports mainly backward chaining. Originality/value: Selection of a powerful and flexible agent systems modeling tool has been made, exemplary analysis of the agent based system model design has been presented. There agents representing the physical system elements, like a humans, machine, production line, shop floor system, the entire plant, or simply a workpiece; it may also be the part-oriented scheduling, or even the complete scheduling process.
The main target of this article is to review the main items connected with Smart Dust and their resolving proposals by research workers. In chapter 1 contains hardware description, chapter 2 contains software description divided Into positioning problems, routing, description of TinyOS, tools used for building working environment and security, chapter 3 contains conclusions and proposals for future development.
W pracy przedstawiono podstawowe informacje dotyczące systemów wieloagentowych: definicje, klasyfikacje i zastosowania. Omówiono rodzaje interakcji pomiędzy jednostkami systemu wieloagentowego oraz sposoby komunikacji. Opisano wykorzystanie systemu wieloagentowego jako narzędzia do komputerowych symulacji systemów złożonych. Przedstawiono przykłady wieloagentowych symulacji powstawania samoorganizacji w tych systemach.
EN
This paper presents basie information about multi-agent systems: defi-, classifications and applications. Interaction rypes amongst entities of a multi-t system and communication methods arę discussed. Multi-agent system as a tool |fer computer simulation of complex systems is described. Multi-agent simulation ex-i of emerging self-organizations in these systems arę presented.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.