A conceptual framework for the augmentation of man's intellect (Reprint)
Computer-supported cooperative work: a book of readings
Object-oriented modeling and design
Object-oriented modeling and design
Unified theories of cognition
Understanding and Using Context
Personal and Ubiquitous Computing
A distributed representation of temporal context
Journal of Mathematical Psychology
Contextual Priming for Object Detection
International Journal of Computer Vision
Unified Modeling Language Reference Manual, The (2nd Edition)
Unified Modeling Language Reference Manual, The (2nd Edition)
A note on web intelligence, world knowledge and fuzzy logic
Data & Knowledge Engineering - Special jubilee issue: DKE 50
Communications of the ACM - The disappearing computer
Collective knowledge systems: Where the Social Web meets the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Modeling human mental processes
IRE-AIEE-ACM '61 (Western) Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference
An infrastructure approach to context-aware computing
Human-Computer Interaction
Human-Computer Interaction
Ontology and database mapping: a survey of current implementations and future directions
Journal of Web Engineering
Effective color interpolation in CCD color filter arrays using signal correlation
IEEE Transactions on Circuits and Systems for Video Technology
What we talk about when we talk about context
Personal and Ubiquitous Computing
Hi-index | 0.00 |
Many disciplines are wrought with high levels of uncertainty and many unknowns including transdisciplinary design. Hence, to achieve some advancement within a discipline, we must provide aids in achieving mitigation of complexity and increasing understanding. We achieve this by investigating beyond the boundaries of the existing discipline's design concepts. This means stretching the boundaries of knowledge by traditional observation and analysis known as hard work using "elbow-grease" or reviewing those methods and processes of other disciplines, which might have applicability to our discipline's domain. Therefore, we addresses the challenge of minimizing ambiguity and fuzziness of understanding in large volumes of complex transdisciplinary information content and explore transdisciplinary synthesis via cognition based frameworks, for improving actionable decisions. Specifically, Recombinant Knowledge Assimilation RNA & Artificial Cognitive Neural Framework ACNF which recombine and assimilate knowledge based in human cognitive processes, formulated and embedded in a neural network of genetic algorithms and stochastic decision making, towards minimizing ambiguity and maximizing clarity. Thus, we introduce trans-disciplinary concepts, for application to specific problem sets, in order to achieve qualitative solutions for the large volumes of complex interconnected data and applications, which exist today.