Issue 2 • March 2006
Table of contentsPublication Year: 2006, Page(s): c1| PDF (40 KB)
IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews publication informationPublication Year: 2006, Page(s): c2| PDF (34 KB)
Editorial Recent Advances in Cognitive InformaticsPublication Year: 2006, Page(s):121 - 123
Cited by: Papers (59)
Cited by: Papers (113)
A variety of life functions and cognitive processes (CPs) have been identified in cognitive informatics, psychology, cognitive science, and neurophilosophy. This paper attempts to develop a layered reference model of the brain (LRMB) that formally and rigorously explains the functional mechanisms and CPs of natural intelligence. A comprehensive and coherent set of mental processes and their relati... View full abstract»
Cited by: Papers (6)
Cognitive informatics has a stated interest in keeping track of developments within the neurosciences, especially concerning cognitive phenomena (like learning, memory, perception, complex motor execution, and even consciousness). Until now, cognitive informaticists have only attended to developments in cognitive neuroscience and neuropsychology. In this paper, I urge that cognitive informaticists... View full abstract»
Cited by: Papers (26) | Patents (1)
Science, engineering, medicine, biology, and many other areas deal with signals acquired in the form of time series from different dynamical systems for the purpose of analysis, diagnosis, and control of the systems. The signals are often mixed with noise. Separating the noise from the signal may be very difficult if both the signal and the noise are broadband. The problem becomes inherently diffi... View full abstract»
Cited by: Papers (1)
In this paper, we focus on lexical semantics, a key issue in natural language processing that tends to converge with conceptual knowledge representation and ontologies. When ontological representation is needed, hyperonymy, the closest approximation to the is-a relation, is at stake. In this paper we describe the principles of our vector model (conceptual vector model) and show how to account for ... View full abstract»
Cited by: Papers (41)
A fundamental finding in computer science is that software, an artifact of human creativity, is not constrained by the laws and properties known in the physical world. Thus, a natural question we have to ask is "what are the constraints that software obeys?" This paper attempts to demonstrate that software obeys the laws of informatics and mathematics. This paper explores a comprehensive set of in... View full abstract»
Cited by: Papers (6)
This paper deals with the possible benefits of perceptual learning in artificial intelligence. On the one hand, perceptual learning is more and more studied in neurobiology and is now considered as an essential part of any living system. In fact, perceptual learning and cognitive learning are both necessary for learning and often depend on each other. On the other hand, many works in machine learn... View full abstract»
In this paper we formally present a methodology that allows us to adapt the intelligence of the agents conforming a multiagent system. We perform such adaptation of the intelligence by means of genetics. We call the resulting environments metaadaptable systems, as they allow to adapt the adaptive capabilities of elements. So, we propose systems in which the capability of the agents to adapt themse... View full abstract»
Cited by: Papers (21)
This paper describes a system capable of classifying stochastic self-affine nonstationary signals produced by nonlinear systems. The classification and the analysis of these signals are important because these are generated by many real-world processes. The first stage of the signal classification process entails the transformation of the signal into the multifractal dimension domain, through the ... View full abstract»
Cited by: Papers (91)
The human brain is the most complicated organ in the universe and a new frontier yet to be explored by an interdisciplinary approach. This paper attempts to develop logical and cognitive models of the brain by using cognitive informatics and formal methodologies. This paper adopts a memory-based approach to explore the brain and to demonstrate that memory is the foundation for any kind of natural ... View full abstract»
Cited by: Papers (46)
In this paper, a multiresolution finite-impulse-response (FIR) neural-network-based learning algorithm using the maximal overlap discrete wavelet transform (MODWT) is proposed. The multiresolution learning algorithm employs the analysis framework of wavelet theory, which decomposes a signal into wavelet coefficients and scaling coefficients. The translation-invariant property of the MODWT allows a... View full abstract»
Cited by: Papers (14)
In today's business environment of relentless change, the topic of how one should proceed with understanding the reasons for change and alternative strategic options, has received much attention by researchers and practitioners alike. This paper considers the relation between goal-oriented business process modeling and organizational change and addresses the question "how can we reason about organ... View full abstract»
Inverted hierarchical neuro-fuzzy BSP system: a novel neuro-fuzzy model for pattern classification and rule extraction in databasesPublication Year: 2006, Page(s):236 - 248
Cited by: Papers (30)
This paper introduces the Inverted Hierarchical Neuro-Fuzzy BSP System (HNFB-1), a new neuro-fuzzy model that has been specifically created for record classification and rule extraction in databases. The HNFB-1 is based on the Hierarchical Neuro-Fuzzy Binary Space Partitioning Model (HNFB), which embodies a recursive partitioning of the input space, is able to automatically g... View full abstract»
Cited by: Papers (2)
The present paper focuses on studying the effectiveness of the self-organizing map (SOM) when applied to the task of categorizing a corpus of texts according to the style of their authors. This task is of particular importance for information retrieval applications using very large databases of documents. The emphasis of this article is to determine the extent to which the SOM possesses the abilit... View full abstract»
Evaluation of enterprise information technologies: a decision model for high-level consideration of strategic and operational issuesPublication Year: 2006, Page(s):260 - 273
Cited by: Papers (16)
Despite the possibility of short-term financial losses and concerns by executive management of potential failure, enterprise information technologies (EITs) are being implemented by a growing number of Fortune 100 and midsize corporations in the hope of acquiring long-term benefits. EITs, expensive and risky information technology assets, must be evaluated on the basis of both their productivity g... View full abstract»
Special issue on recent advances in biometrics systemsPublication Year: 2006, Page(s): 274| PDF (177 KB)
Special issue on intelligent computation for bioinformaticsPublication Year: 2006, Page(s): 275| PDF (215 KB)
IEEE order form for reprintsPublication Year: 2006, Page(s): 276| PDF (354 KB)
IEEE Systems, Man, and Cybernetics Society InformationPublication Year: 2006, Page(s): c3
IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews Information for authorsPublication Year: 2006, Page(s): c4| PDF (33 KB)
Aims & Scope
This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Human-Machine Systems.
Overview, tutorial and application papers concerning all areas of interest to the SMC Society: systems engineering, human factors and human machine systems, and cybernetics and computational intelligence.
Authors should submit human-machine systems papers to the IEEE Transactions on Human-Machine Systems.
Authors should submit systems engineering papers to the IEEE Transactions on Systems, Man and Cybernetics: Systems.
Authors should submit cybernetics papers to the IEEE Transactions on Cybernetics.
Authors should submit social system papers to the IEEE Transactions on Computational Social Systems.
Meet Our Editors
Dr. Vladimir Marik
(until 31 December 2012)