Description
Scitus Academics LLC Cognition and Technology Co-existence convergence and co-evolution by Graeme Rounds
Cognitive technologies are products of the field of artificial intelligence. They are able to perform tasks that only humans used to be able to do. A product of the field of research known as artificial intelligence, cognitive technologies have been evolving over decades. Because cognitive technologies extend the power of information technology to tasks traditionally performed by humans, they have the potential to enable organizations to break prevailing tradeoffs between speed, cost, and quality. Cognitive models are dynamic and adaptable computational representations of the cognitive structures and mechanisms involved in developing SA and processing information for decision making. Cognitive modeling technologies have been developed in the context of the cognitive sciences, which rely on theories of mind that allow for the construction of generative models to be eventually tested against behavioral, physiological, and neural data. The advantage of cognitive models resides in their ability to dynamically learn from experience, to adjust to new inputs, environments, and tasks in similar ways as humans do, and to predict performance in situations that haven’t been encountered and for which data is not yet available. In this regard, cognitive models differ from purely statistical approaches, such as machine learning, that are often capable of evaluating only stable, long-term sequential dependencies from existing data but fail to account for the dynamics of human cognition, including learning processes and short-term sequential dependencies.
Cognition and Technology: Co-existence, convergence and co-evolution focuses on challenges and approaches to integration of information technology and computational representations of human situation awareness. It presents a summary of past research as well as an overview of new areas for future investigations. The assortment contains an extensive Cognitive Technology (CT) agenda identifying many as yet unsolved, CT-related, design issues.
Over the next five years the impact of cognitive technologies to grow substantially. Leaders of organizations in all sectors need to understand whether, how, and where to invest in applying cognitive technologies. Not only can cognitive technologies be used to enhance products and services, they can also bring about entirely new classes of products and services that can create new markets and generate large gains for inventors. The cognitive technology application is creating insight. Natural language processing techniques, for instance, make it possible to analyze large volumes of unstructured textual information that has not yielded to other techniques. The compilation will appeal to all scientists, humanists and professionals interested in the interface between human cognitive processes and the technologies that augment them.