Real-time control skills are ordinarily tacit | their possessors cannot explicitly communicate them. But given su cient sampling of a trained expert's input{output behaviour, machine learning programs have been found capable of constructing rules which, when run as programs, deliver behaviours similar to those of the original exemplars. These `clones' are in e ect symbolic representations of su...

This issue of the Kybernetes journal is concerned with the philosophical question Can a Machine Think? Famously, in his 1950 paper ‘Computing Machinery and Intelligence’ [11], the British mathematician Alan Turing suggested replacing this question which he found “too meaningless to deserve discussion” with a simple [behaviourial] test based on an imagined Victorian-esque pastime he entitled the...

Despite the advances made in various new technologies, application of these technologies for agriculture still remains a formidable task, as it involves integration of diverse domains for monitoring the different process involved in agricultural management. Advances in ambient intelligence technology represents one of the most powerful technology for increasing the yield of agricultural crops a...

The early promise of the impact of machine intelligence did not involve the partitioning of the nascent field of Artificial Intelligence. The founders of AI envisioned the notion of embedded intelligence as being conjoined between perception, reasoning and actuation. Yet over the years the fields of AI and Robotics drifted apart. Practitioners of AI focused on problems and algorithms abstracted...

Increasing machine intelligence leads to a shift from a mere interactive to a much more complex cooperative human-machine relation requiring a multidisciplinary development approach. This paper presents a generic multidisciplinary cognitive engineering method CE+ for the integration of human factors and artificial intelligence in the development of human-machine cooperation. Four case-studies a...

The prognostic system plays a crucial role in estimating the remaining useful life of machine components and forecasting of the future states of machines. The techniques related to prognostics consist of statistical-based, model-based, and data driven or intelligence-based. Among these, artificial intelligence is commonly used due to its flexibility in generating appropriate models for the fore...

Increasing machine intelligence leads to a shift from a mere interactive to a much more complex cooperative human-machine relation requiring a multidisciplinary development approach. This paper presents a generic multidisciplinary cognitive engineering method CE+ for the integration of human factors and artificial intelligence in the development of human-machine cooperation. Four case-studies a...

background : the concepts of ‘intelligence’ and ‘intellectual performance’ though seem alike, but are different. intelligence assessment of an individual is technical, is done by the application of multiple, reliable and validated, iq (intelligence quotient) tests on the same individual in different settings (date, place and time). however, ‘intellectual performance’ (ip) has a reference only t...

Artificial intelligence is an emerging topic and will soon be able to perform decisions better than humans. In more complex and creative contexts such as innovation, however, the question remains whether machines are superior to humans. Machines fail in two kinds of situations: processing and interpreting “soft” information (information that cannot be quantified) and making predictions in “unkn...