Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: BDI agent

Sortuj według:

Ogranicz wyniki do:

Utilizing BDI Agents and a Topological Theory for Mining Online Social Networks

Zhang H. -L., Liu J., Zhang Y.

Fundamenta Informaticae

2013

Vol. 127, nr 1-4

479--494

Online social networks (OSN) are facing challenges since they have been extensively applied to different domains including online social media, e-commerce, biological complex networks, financial analysis, and so on. One of the crucial challenges for OSN lies in information overload and network congestion. The demands for efficient knowledge discovery and data mining methods in OSN have been rising in recent year, particularly for online social applications, such as Flickr, YouTube, Facebook, and LinkedIn. In this paper, a Belief-Desire-Intention (BDI) agent-based method has been developed to enhance the capability of mining online social networks. Current data mining techniques encounter difficulties of dealing with knowledge interpretation based on complex data sources. The proposed agent-based mining method overcomes network analysis difficulties, while enhancing the knowledge discovery capability through its autonomy and collective intelligence.

Team formation in a distributed environment: the idea and algorithms

Ambroszkiewicz S., Matyja O., Penczek W.

Prace Instytutu Podstaw Informatyki Polskiej Akademii Nauk

1998

nr 855

3-28

A process of team formation by autonomous agents in a distributed environment is presented. Since the environment is distributed, there are serious problems with communication and consistent decision making inside a team. To deal with this problems, the standard technique of token passing in a computer network is applied. The passing cycle of the token serves as the communication route, assures consistent decision making inside the team maintaining its organisational integrity, and is a component of the plan of the co-operative work performed by a completed team. Two algorithms for team formation are given. The first one is based on simple BDI-agents that still can be viewed as reactive agents although augmented with Belief, Desire, and Intentions. The second one is based on sophisticated BDI-agents. Moreover, the algorithm based on purely reactive agents, which is an adaptation of the static routing algorithm in computer networks, is constructed in order to compare its performance with performances of the team formation algorithms.

W pracy wprowadzono nowy sposób formatowania teamów przez autonomicznych agentów. Przedstawiono dwa algorytmy formowania teamów dla dwóch rodzajów agentów. W celu porównania przedstawiono również algorytm oparty na przekazywaniu tokena w sieciach komputerowych.