Wyniki wyszukiwania - BazTech

1

The use of the Biological Diatom Index (BDI) for the assessment of water quality in the Pilica River, Poland

Szulc B., Szulc K.

Oceanological and Hydrobiological Studies

|

2013

|

Vol. 42, No. 2

188-194

EN

The main aim of this study was to assess the usefulness of the Biological Diatom Index (BDI) (Lenoir & Coste 1996) for the estimation of water quality in the central section of the Pilica River, located in central Poland in Łódź province. The BDI has never been used before to monitor Polish surface waters. An analysis of the correlations between the values of the BDI and selected physico-chemical parameters was performed, as was an assessment of water quality using the BDI. On the basis of value ranges proposed by Descy and Ector (1996), a good ecological status in the Pilica River was obtained, but this did not correspond with the results achieved from the physico-chemical analysis. This study proposes new value ranges for the BDI. With these new values, the ecological state of the Pilica River changed from good to moderate, which corresponded with the physico-chemical analysis of the water. The new, proposed value ranges for the BDI assess more precisely the quality of water in lowland Polish rivers.

2

Control Algorithms in Multi-Agent Environment

Marchewka A., Lutowski Z., Marciniak B., Śrutek M., Bujnowski S.

Image Processing & Communications

|

2012

|

Vol. 17, no. 3

47--62

EN

In this paper the general information regarding controlling multi-agent systems has been given. The simulation results of using algorithms, proposed by authors, used for controlling groups of robots servicing the virtual library has been presented. These simulations concerned estimation of following parameters: number of iterations needed to complete a task, average customer service time and average customer awaiting service time in function of number of robots, size of library and number of exchange points.

3

Innovative Realization of Quantitative Goals in BDI Agents via Partial Utility Functions

Przybylski M., Cichocki P.

Studia Informatica : systems and information technology

|

2006

|

Vol. 1(7)

105--116

EN

Agents play an important role in high level artificial intelligence in such areas as distributed decision support, robot control, computer games, etc. Currently, the most popular high-level agent architectures are based on the belief-desire-intention (BDI) model. BDI agents are usually specified in modal logic. This is efficient for defining event goals. However, defining quantitative goals can be very difficult in many popular formalisms. In this paper we propose a method for expressing quantitative goals by associating partial utility functions with agent’s goals. We propose a modified BDI agent architecture which is loosely based on fuzzy logic. In this architecture, approximation of partial derivatives of those functions enables us to use gradient based optimization algorithms in the intention reconsideration step to weight some action specializations. Using the proposed approach allows us to easily combine quantitative and event goals, and consider them all while planning. This paper also describes a simple language which can be used to elegantly describe generic action libraries in accordance to the proposed model.

4

Dorcas-platforma dla agentów o architekturze BDI

Brzeziński J.

Prace Instytutu Podstaw Informatyki Polskiej Akademii Nauk

|

2003

|

Nr 972

1-94

PL

Termin "system wieloagentowy" (MAS) odnosi się do wszelkich systemów złożonych z autonomicznych (bądź częściowo autonomicznych) komponentów, zwanych agentami. Zakłada się, ze agenci zdolni są do działania w dynamicznym, nieprzewidywalnym i otwartym środowisku oraz do realizacji swoich zadań w sposób zarówno reaktywny jak i proaktywny. Jedną z najważniejszych teorii opisujących agentów spełniających powyższe założenie jest teoria BDI opisująca agenta w terminach przekonań, celów / pragnień i intencji. Na bazie tej teorii rozwinięta została architektura PRS [12] oraz jej implementacje -dMars [2]. Wraz z nimi stworzona została, oparta na technice obiektowej OMT [17], metodologia projektowania systemów wieloagentowych [14, 13]. Platforma Dorcas jest systemem komputerowym wspomagającym tworzenie agentów w oparciu o architekturę PRS/dMars, związaną z nimi metodologię projektowania oraz teorię kolektywnych postaw motywacyjnych rozwiniętą w IIUW i IPI PAN. W ramach platformy stworzony został język służący do definiowania agentów o architekturze BDI oraz jego interpreter, a także oprogramowanie stymulujące wirtualne środowisko działania agentów. Agenci działający w ramach platformy Dorcas mogą się ze sobą komunikować przy pomocy języka KQML [10].

EN

The term "multiagent system" applies to any system composed of many autono-mous (or partially autonomous) components called agents. It is assumed that agents are able to work in a dynamic, open and unpredictable environment in order to realisetheir tasks in a way comprising both reactive and proactive aspect of their behaviour. One of the most important theories applying to agents is the BDI theory describingagents in terms of beliefs, goals/desires and intentions. An agent architecture PRS together with its implementation - dMars - is based on this theory. Alongside, anagent oriented design methodology was developed basing on an object-oriented technique OMT. The Dorcas platform is a system that assists development of agents based on the PRS/dMars architecture, related design methodology, and a theory of collectivemotivational attitudes developed at IIUW and ICS PAS. Within this platform a language and its interpreter serving to define agents in the BDI architecture wasrealised, together with a simulator of a virtual agent environment. Agents working within the Dorcas platform can communicate with each other using KQML