27,284 research outputs found
Autonomic computing architecture for SCADA cyber security
Cognitive computing relates to intelligent computing platforms that are based on the disciplines of artificial intelligence, machine learning, and other innovative technologies. These technologies can be used to design systems that mimic the human brain to learn about their environment and can autonomously predict an impending anomalous situation. IBM first used the term âAutonomic Computingâ in 2001 to combat the looming complexity crisis (Ganek and Corbi, 2003). The concept has been inspired by the human biological autonomic system. An autonomic system is self-healing, self-regulating, self-optimising and self-protecting (Ganek and Corbi, 2003). Therefore, the system should be able to protect itself against both malicious attacks and unintended mistakes by the operator
WEAK MEASUREMENT THEORY AND MODIFIED COGNITIVE COMPLEXITY MEASURE
Measurement is one of the problems in the area of software engineering. Since traditional measurement
theory has a major problem in defining empirical observations on software entities in terms of their
measured quantities, Morasca has tried to solve this problem by proposing Weak Measurement theory. In
this paper, we tried to evaluate the applicability of weak measurement theory by applying it on a newly
proposed Modified Cognitive Complexity Measure (MCCM). We also investigated the applicability of
Weak Extensive Structure for deciding on the type of scale for MCCM. It is observed that the MCCM is on
weak ratio scale
Neurocognitive Informatics Manifesto.
Informatics studies all aspects of the structure of natural and artificial information systems. Theoretical and abstract approaches to information have made great advances, but human information processing is still unmatched in many areas, including information management, representation and understanding. Neurocognitive informatics is a new, emerging field that should help to improve the matching of artificial and natural systems, and inspire better computational algorithms to solve problems that are still beyond the reach of machines. In this position paper examples of neurocognitive inspirations and promising directions in this area are given
What is Computational Intelligence and where is it going?
What is Computational Intelligence (CI) and what are its relations with Artificial Intelligence (AI)? A brief survey of the scope of CI journals and books with ``computational intelligence'' in their title shows that at present it is an umbrella for three core technologies (neural, fuzzy and evolutionary), their applications, and selected fashionable pattern recognition methods. At present CI has no comprehensive foundations and is more a bag of tricks than a solid branch of science. The change of focus from methods to challenging problems is advocated, with CI defined as a part of computer and engineering sciences devoted to solution of non-algoritmizable problems. In this view AI is a part of CI focused on problems related to higher cognitive functions, while the rest of the CI community works on problems related to perception and control, or lower cognitive functions. Grand challenges on both sides of this spectrum are addressed
Towards engineering ontologies for cognitive profiling of agents on the semantic web
Research shows that most agent-based collaborations
suffer from lack of flexibility. This is due to the fact that
most agent-based applications assume pre-defined
knowledge of agentsâ capabilities and/or neglect basic
cognitive and interactional requirements in multi-agent
collaboration. The highlight of this paper is that it brings
cognitive models (inspired from cognitive sciences and HCI)
proposing architectural and knowledge-based requirements
for agents to structure ontological models for cognitive
profiling in order to increase cognitive awareness between
themselves, which in turn promotes flexibility, reusability
and predictability of agent behavior; thus contributing
towards minimizing cognitive overload incurred on humans.
The semantic web is used as an action mediating space,
where shared knowledge base in the form of ontological
models provides affordances for improving cognitive
awareness
An open learning environment for the diagnosis, assistance and evaluation of students based on artificial intelligence
The personalized diagnosis, assistance and evaluation of students in open learning environments can be a challenging task, especially in cases that the processes need to be taking place in real-time, classroom conditions. This paper describes the design of an open learning environment under development, designed to monitor the comprehension of students, assess their prior knowledge, build individual learner profiles, provide personalized assistance and, finally, evaluate their performance by using artificial intelligence. A trial test has been performed, with the participation of 20 students, which displayed promising results
Profiling a decade of information systems frontiersâ research
This article analyses the first ten years of research published in the Information Systems Frontiers (ISF) from 1999 to 2008. The analysis of the published material includes examining variables such as most productive authors, citation analysis, universities associated with the most publications, geographic diversity, authorsâ backgrounds and research methods. The keyword analysis suggests that ISF research has evolved from establishing concepts and domain of information systems (IS), technology and management to contemporary issues such as outsourcing, web services and security. The analysis presented in this paper has identified intellectually significant studies that have contributed to the development and accumulation of intellectual wealth of ISF. The analysis has also identified authors published in other journals whose work largely shaped and guided the researchers published in ISF. This research has implications for researchers, journal editors, and research institutions
Informaticology: combining Computer Science, Data Science, and Fiction Science
Motivated by an intention to remedy current complications with Dutch
terminology concerning informatics, the term informaticology is positioned to
denote an academic counterpart of informatics where informatics is conceived of
as a container for a coherent family of practical disciplines ranging from
computer engineering and software engineering to network technology, data
center management, information technology, and information management in a
broad sense.
Informaticology escapes from the limitations of instrumental objectives and
the perspective of usage that both restrict the scope of informatics. That is
achieved by including fiction science in informaticology and by ranking fiction
science on equal terms with computer science and data science, and framing (the
study of) game design, evelopment, assessment and distribution, ranging from
serious gaming to entertainment gaming, as a chapter of fiction science. A
suggestion for the scope of fiction science is specified in some detail.
In order to illustrate the coherence of informaticology thus conceived, a
potential application of fiction to the ontology of instruction sequences and
to software quality assessment is sketched, thereby highlighting a possible
role of fiction (science) within informaticology but outside gaming
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