An expert is somebody who has a broad and deep understanding and competence in terms of knowledge, skill and experience through practice and education in a particular field or area of study. Informally, an expert is someone widely recognized as a reliable source of technique or skill whose faculty for judging or deciding rightly, justly, or wisely is accorded authority and status by peers or the public in a specific well-distinguished domain. An expert, more generally, is a person with extensive knowledge or ability based on research, experience, or occupation and in a particular area of study. Experts are called in for advice on their respective subject, but they do not always agree on the particulars of a field of study. An expert can be believed, by virtue of credentials, training, education, profession, publication or experience, to have special knowledge of a subject beyond that of the average person, sufficient that others may officially rely upon the individual's opinion on that topic. Historically, an expert was referred to as a sage. The individual was usually a profound thinker distinguished for wisdom and sound judgment.
Herbert Alexander Simon was an American political scientist whose work also influenced the fields of computer science, economics, and cognitive psychology. His primary research interest was decision-making within organizations and he is best known for the theories of "bounded rationality" and "satisficing". He received the Nobel Memorial Prize in Economic Sciences in 1978 and the Turing Award in computer science in 1975. His research was noted for its interdisciplinary nature and spanned across the fields of cognitive science, computer science, public administration, management, and political science. He was at Carnegie Mellon University for most of his career, from 1949 to 2001, where he helped found the Carnegie Mellon School of Computer Science, one of the first such departments in the world.
"Computing Machinery and Intelligence" is a seminal paper written by Alan Turing on the topic of artificial intelligence. The paper, published in 1950 in Mind, was the first to introduce his concept of what is now known as the Turing test to the general public.
In cognitive psychology, chunking is a process by which small individual pieces of a set of information are bound together to create a meaningful whole later on in memory. The chunks, by which the information is grouped, are meant to improve short-term retention of the material, thus bypassing the limited capacity of working memory and allowing the working memory to be more efficient. A chunk is a collection of basic units that are strongly associated with one another, and have been grouped together and stored in a person's memory. These chunks can be retrieved easily due to their coherent grouping. It is believed that individuals create higher-order cognitive representations of the items within the chunk. The items are more easily remembered as a group than as the individual items themselves. These chunks can be highly subjective because they rely on an individual's perceptions and past experiences, which are linked to the information set. The size of the chunks generally ranges from two to six items but often differs based on language and culture.
Hubert Lederer Dreyfus was an American philosopher and professor of philosophy at the University of California, Berkeley. His main interests included phenomenology, existentialism and the philosophy of both psychology and literature, as well as the philosophical implications of artificial intelligence. He was widely known for his exegesis of Martin Heidegger, which critics labeled "Dreydegger".
Movements in cognitive science are considered to be post-cognitivist if they are opposed to or move beyond the cognitivist theories posited by Noam Chomsky, Jerry Fodor, David Marr, and others.
In psychology, the four stages of competence, or the "conscious competence" learning model, relates to the psychological states involved in the process of progressing from incompetence to competence in a skill. People may have several skills, some unrelated to each other, and each skill will typically be at one of the stages at a given time. Many skills require practice to remain at a high level of competence.
A physical symbol system takes physical patterns (symbols), combining them into structures (expressions) and manipulating them to produce new expressions.
The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, and free will. Furthermore, the technology is concerned with the creation of artificial animals or artificial people so the discipline is of considerable interest to philosophers. These factors contributed to the emergence of the philosophy of artificial intelligence.
Competence is the set of demonstrable characteristics and skills that enable and improve the efficiency or performance of a job. Competency is a series of knowledge, abilities, skills, experiences and behaviors, which leads to effective performance in an individual's activities. Competency is measurable and can be developed through training.
Gary Klein is a research psychologist famous for pioneering in the field of naturalistic decision making. By studying experts such as firefighters in their natural environment, he discovered that laboratory models of decision making could not describe it under uncertainty. His recognition-primed decision (RPD) model has influenced changes in the ways the Marines and Army train their officers to make decisions.
Interactional expertise is part of a more complex classification of expertise developed by Harry Collins and Robert Evans. In this initial formulation interactional expertise was part of a threefold classification of substantive expertise that also included ‘no expertise’ and ‘contributory expertise’, by which they meant the expertise needed to contribute fully to all aspects of a domain of activity.
Hubert Dreyfus was a critic of artificial intelligence research. In a series of papers and books, including Alchemy and AI (1965), What Computers Can't Do and Mind over Machine (1986), he presented a pessimistic assessment of AI's progress and a critique of the philosophical foundations of the field. Dreyfus' objections are discussed in most introductions to the philosophy of artificial intelligence, including Russell & Norvig (2021), a standard AI textbook, and in Fearn (2007), a survey of contemporary philosophy.
CHREST is a symbolic cognitive architecture based on the concepts of limited attention, limited short-term memories, and chunking. The architecture takes into low-level aspects of cognition such as reference perception, long and short-term memory stores, and methodology of problem-solving and high-level aspects such as the use of strategies. Learning, which is essential in the architecture, is modelled as the development of a network of nodes (chunks) which are connected in various ways. This can be contrasted with Soar and ACT-R, two other cognitive architectures, which use productions for representing knowledge. CHREST has often been used to model learning using large corpora of stimuli representative of the domain, such as chess games for the simulation of chess expertise or child-directed speech for the simulation of children's development of language. In this respect, the simulations carried out with CHREST have a flavour closer to those carried out with connectionist models than with traditional symbolic models.
Second-language attrition is the decline of second-language skills, which occurs whenever the learner uses the second language to an insufficient degree or due to environmental changes the language use is limited and another language is becoming the dominant one.
Artificial intuition is a theoretical capacity of an artificial software to function similarly to human consciousness, specifically in the capacity of human consciousness known as intuition.
Fernand Gobet is a cognitive scientist and a cognitive psychologist, currently Professor of Cognitive Psychology at the London School of Economics. His research interests focus on the study of cognition, especially in the areas of cognitive architectures, perception, intuition, problem solving, learning and decision making. He has developed the CHREST cognitive architecture, an acronym for Chunk Hierarchy and REtrieval STructures, which is a complete architecture for the processes of learning and perception used by humans. He is a chess International Master, and played numerous times for the Swiss national team. He was co-editor of the Swiss Chess Review from 1981 to 1989. His Elo rating is 2400.
Intuition in the context of decision-making is defined as a "non-sequential information-processing mode." It is distinct from insight and can be contrasted with the deliberative style of decision-making. Intuition can influence judgment through either emotion or cognition, and there has been some suggestion that it may be a means of bridging the two. Individuals use intuition and more deliberative decision-making styles interchangeably, but there has been some evidence that people tend to gravitate to one or the other style more naturally. People in a good mood gravitate toward intuitive styles, while people in a bad mood tend to become more deliberative. The specific ways in which intuition actually influences decisions remain poorly understood.
Patricia Sawyer Benner is a nursing theorist, academic and author. She is known for one of her books, From Novice to Expert: Excellence and Power in Clinical Nursing Practice (1984). Benner described the stages of learning and skill acquisition across the careers of nurses, applying the Dreyfus model of skill acquisition to nursing practice. Benner is a professor emerita at the University of California, San Francisco UCSF School of Nursing.
A nurse scientist is a registered nurse with advanced education and expertise in nursing research. These professionals play a critical role in advancing nursing knowledge, improving patient care, and shaping the future of the nursing profession. Highly educated and specialized, nurse scientists conduct research to generate new knowledge about nursing care, employing a deep understanding of nursing theory, research methodologies, and clinical practice. Nurse scientists are essential contributors to the development of new nursing interventions and practices. Their skills extend beyond academic settings and these advanced nurses work in hospitals, research institutes, and community organizations. Through their efforts, nurse scientists have a profound impact on the quality of healthcare, contributing significantly to the improvement of patient care and the overall advancement of the nursing profession. They possess advanced qualifications, typically holding a Ph.D. in nursing or a related field, demonstrating expertise not only in research principles and methodology but also in-depth content knowledge within a specific clinical area. The primary focus of the role is to provide leadership in the development, coordination and management of clinical research studies; provide mentorship for nurses in research; lead evaluation activities that improve outcomes for patients participating in research studies; contribute to the overall health sciences literature. Nurse scientists have been regarded as knowledge brokers. They participate in nursing research.
