Title :
Brainmerge: a Semiotic-Oriented Software Development Process for Intelligence Augmentation Systems
Author :
Paraense, André Luis Ogando ; Gudwin, Ricardo Ribeiro ; de Almeida Goncalves, R.
Author_Institution :
Dept. of Comput. Eng. & Ind. Autom., State Univ. of Campinas, Sao Paulo
fDate :
April 30 2007-May 3 2007
Abstract :
In this paper we present "Brainmerge", a software development process designed according to semiotic principles in order to coordinate the steps required for the requirements specification, analysis and design of a special kind of intelligent system, which is usually described as intelligence augmentation systems (IAS). IAS represent an extension of decision support systems (DSS) with the use of AI techniques and usually dynamic decision making processes. Traditional software methodologies are usually inefficient when dealing with IAS, and our methodology aim at fulfilling these shortcomings. To illustrate the methodology we describe a real application in planning the circulation of trains in a single track railroad
Keywords :
artificial intelligence; decision making; decision support systems; software engineering; Brainmerge; artificial intelligence; decision support systems; dynamic decision making; intelligence augmentation systems; requirements analysis; requirements specification; semiotic-oriented software development; Application software; Artificial intelligence; Computational intelligence; Decision making; Decision support systems; Humans; Intelligent systems; Process design; Programming; Software design;
Conference_Titel :
Integration of Knowledge Intensive Multi-Agent Systems, 2007. KIMAS 2007. International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0944-6
Electronic_ISBN :
1-4244-0945-4
DOI :
10.1109/KIMAS.2007.369819