Brainmerge: A Semiotic-oriented Software Development Process For Intelligence Augmentation Systems

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 aims at fulfilling these shortcomings. To illustrate the methodology we describe a real application in planning the circulation of trains in a single track railroad. © 2007 IEEE.261266Shim, J.P., Past, present and future of decision support technology. Elsevier (2002) Decision Support Systems, 33, pp. 111-126Shim, J.P., Engelbart, D.C., AUGMENTING HUMAN INTELLECT: A Conceptual Framework Summary report, , http://sloan.stanford.edu/mousesite/ EngelbartPapers/B5_F18_ConceptFrameworkIndhtmlRansdell, Joseph, The Relevance of Peircean Semiotic to Computational Intelligence Augmentation (2003) SEED Journal (Semiotics, Evolution, Energy, and Development), 3 (3). , http://www. library.utoronto.ca/see/SEED/Vol3-3/Ransdell.ht

Designing Intelligence Augmentation System With A Semiotic-oriented Software Development Process

In this paper, the authors describe the first steps of a semiotic-oriented software development process called "Brainmerge" [1], and present a case study where the process is used to coordinate the steps required for the design of a locomotive and car assignment system, modeled as an Intelligence Augmentation Systems (IAS). IAS represent an extension of Decision Support Systems (DSS) [2] with the use of Peircean semiotics [4], intelligence augmentation techniques [3], computational agents [5] and usually dynamic decision making processes (DDMP). IAS are suitable for DDMP. Traditional software methodologies are usually inefficient when dealing with IAS, and our methodology aims at fulfilling these shortcomings. This work considers the resolution of a real world problem of tactical planning in railroads where such DDMP play a key role. © 2007 IEEE.8489Paraense, A., Gudwin, R., Gonçalves, R., Brainmerge: A Semiotic-Oriented Software Development Process for Intelligence Augmentation Systems (2007) Integration of Knowledge Intensive Multi-Agent Systems KIMAS '07: Modeling, EVOLUTION and Engineering, , April 29, May 3, Waltham, MassachusettsShim, J.P., Past, present and future of decision support technology, Elsevier (2002) Decision Support Systems, 33, pp. 111-126Engelbart, D.C., AUGMENTING HUMAN INTELLECT: A Conceptual Framework Summary reportRansdell, J., The Relevance of Peircean Semiotic to Computational Intelligence Augmentation (2003) SEED Journal (Semiotics, Evolution, Energy, and Development), 3 (3)Franklin, S., Graesser, A., Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents (1996) Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages, , Budapest, Hungar