Title :
A new classification scheme for software agents
Author :
Hector, Aaron ; Narasimhan, V. Lakshmi
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., Australia
Abstract :
The field of software agents is a broad and rapidly developing area of research, which encompasses a diverse range of topics and interests. In order to study the various methodologies for agent design, a comprehensive classification scheme is required. This paper identifies the key aspects of software agents, then provides an overview of existing ontologies, and combines the best aspects of these schemes to propose a new all-inclusive classification scheme. In order to illustrate the classifications, the JACK intelligent agents architecture is described in the context of the scheme.
Keywords :
classification; ontologies (artificial intelligence); software agents; JACK intelligent agents architecture; classification scheme; ontologies; software agents; Computer architecture; Computer science; Design methodology; Humans; Intelligent agent; Manufacturing; Multiagent systems; Ontologies; Software agents; Taxonomy;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.31