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Gary Marcus | |
---|---|
Born | Gary Fred Marcus 1970 (age 53–54) |
Education | Center for Talented Youth |
Alma mater | Hampshire College (BS) Massachusetts Institute of Technology (MS, PhD) |
Scientific career | |
Fields | Cognitive psychology, artificial intelligence |
Institutions | New York University |
Thesis | On rules and exceptions : an investigation of inflectional morphology (1993) |
Doctoral advisor | Steven Pinker |
Website | garymarcus |
Gary Fred Marcus (born 1970) is an American psychologist, cognitive scientist, and author, known for his research on the intersection of cognitive psychology, neuroscience, and artificial intelligence (AI). [1] [2]
Marcus is professor emeritus of psychology and neural science at New York University. In 2014 he founded Geometric Intelligence, a machine learning company later acquired by Uber. [3] [4]
His books include The Algebraic Mind, Kluge, The Birth of the Mind, and the New York Times Bestseller Guitar Zero . [5]
Marcus was born into a Jewish family in Baltimore, Maryland. He developed an early fascination with artificial intelligence and began coding at a young age. [6]
Marcus majored in cognitive science at Hampshire College. [7] He continued on to graduate school at Massachusetts Institute of Technology, where he conducted research on negative evidence in language acquisition [8] and regularization (and over-regularization) in children's acquisition of grammatical morphology. [9]
During his PhD studies, he was mentored by Steven Pinker. [10]
In 2015 Marcus co-founded a machine-learning startup, Geometric Intelligence. When Geometric Intelligence was acquired by Uber in December 2016, he became the director of Uber's AI efforts, but left the company in March 2017. [11] [12]
In 2019 Marcus launched the startup, Robust.AI, with Rodney Brooks, iRobot co-founder and co-inventor of the Roomba. Robust.AI aims to build an "off-the-shelf" machine-learning platform for adoption in autonomous robots, similar to the way video-game engines can be adopted by third-party game developers. [13] [10]
Marcus's early work focused on why children produce over-regularizations, such as "breaked" and "goed", as a test case for the nature of mental rules. [14]
In his first book, The Algebraic Mind (2001), Marcus challenged the idea that the mind might consist of largely undifferentiated neural networks. He argued that understanding the mind would require integrating connectionism with classical ideas about symbol-manipulation. [15]
Marcus's book, Guitar Zero (2012), explores the process of taking up a musical instrument as an adult.
Marcus edited The Norton Psychology Reader (2005), including selections by cognitive scientists on modern science of the human mind.
With Jeremy Freeman he co-edited The Future of the Brain: Essays by the World's Leading Neuroscientists (2014).
Marcus belongs to the school of thought of psychological nativism. One of his books, The Birth of the Mind (2004), describes from a nativist perspective the ways that genes can influence cognitive development, and aims to reconcile nativism with common anti-nativist arguments advanced by other academics. He discusses how a small number of genes account for the intricate human brain, common false impressions of genes, and the problems they[ clarification needed ] may cause for the future of genetic engineering. [16]
In a review, Mameli and Papineau argue that the theory expounded in the book is "more sophisticated than any version of nativism on the market", but that in attempting to rebut anti-nativist arguments, Marcus "ends up reconfiguring the nativist position out of existence", prompting Mameli and Papineau to conclude that the nativist-anti-nativist framing should "be abandoned". [17]
Marcus is a notable critic of the "hype" surrounding artificial intelligence. [10] He has called for regulation of AI, increased AI literacy among the public, and "well-funded public thinktanks" to consider potential AI risks. [18] [19] He has also argued that AI is currently being deployed prematurely, particularly in situations that involve a risk of real-world harm resulting from bias, as with facial recognition or résumé parsing, since current deep-learning techniques are not amenable to formal verification for correctness. [20]
Marcus has described current large language models as "approximations to [...] language use rather than language understanding". [10]
On 29 March 2023, Marcus and other researchers signed an open letter calling for a 6-month moratorium on "the training of AI systems more powerful than GPT-4" until proper safeguards can be implemented, [21] [22] primarily citing the short-term risks of "mediocre AI that is unreliable [...] but widely deployed". [23] In 2024 he rushed into press his latest book urging public action to regulate generative AI. [24]
Cognitive science is the interdisciplinary, scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition. Mental faculties of concern to cognitive scientists include perception, memory, attention, reasoning, language, and emotion; to understand these faculties, cognitive scientists borrow from fields such as psychology, artificial intelligence, philosophy, neuroscience, linguistics and anthropology. The typical analysis of cognitive science spans many levels of organization, from learning and decision-making to logic and planning; from neural circuitry to modular brain organization. One of the fundamental concepts of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."
Cognitive psychology is the scientific study of mental processes such as attention, language use, memory, perception, problem solving, creativity, and reasoning. Cognitive psychology originated in the 1960s in a break from behaviorism, which held from the 1920s to 1950s that unobservable mental processes were outside the realm of empirical science. This break came as researchers in linguistics and cybernetics, as well as applied psychology, used models of mental processing to explain human behavior. Work derived from cognitive psychology was integrated into other branches of psychology and various other modern disciplines like cognitive science, linguistics, and economics.
Cognitive neuroscience is the scientific field that is concerned with the study of the biological processes and aspects that underlie cognition, with a specific focus on the neural connections in the brain which are involved in mental processes. It addresses the questions of how cognitive activities are affected or controlled by neural circuits in the brain. Cognitive neuroscience is a branch of both neuroscience and psychology, overlapping with disciplines such as behavioral neuroscience, cognitive psychology, physiological psychology and affective neuroscience. Cognitive neuroscience relies upon theories in cognitive science coupled with evidence from neurobiology, and computational modeling.
Cognitive science is the scientific study either of mind or of intelligence . Practically every formal introduction to cognitive science stresses that it is a highly interdisciplinary research area in which psychology, neuroscience, linguistics, philosophy, computer science, anthropology, and biology are its principal specialized or applied branches. Therefore, we may distinguish cognitive studies of either human or animal brains, the mind and the brain.
Connectionism is an approach to the study of human mental processes and cognition that utilizes mathematical models known as connectionist networks or artificial neural networks.
In artificial intelligence, symbolic artificial intelligence is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. Symbolic AI used tools such as logic programming, production rules, semantic nets and frames, and it developed applications such as knowledge-based systems, symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. The Symbolic AI paradigm led to seminal ideas in search, symbolic programming languages, agents, multi-agent systems, the semantic web, and the strengths and limitations of formal knowledge and reasoning systems.
Intelligence has been defined in many ways: the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem-solving. It can be described as the ability to perceive or infer information; and to retain it as knowledge to be applied to adaptive behaviors within an environment or context.
The language of thought hypothesis (LOTH), sometimes known as thought ordered mental expression (TOME), is a view in linguistics, philosophy of mind and cognitive science, forwarded by American philosopher Jerry Fodor. It describes the nature of thought as possessing "language-like" or compositional structure. On this view, simple concepts combine in systematic ways to build thoughts. In its most basic form, the theory states that thought, like language, has syntax.
Dynamical systems theory is an area of mathematics used to describe the behavior of complex dynamical systems, usually by employing differential equations or difference equations. When differential equations are employed, the theory is called continuous dynamical systems. From a physical point of view, continuous dynamical systems is a generalization of classical mechanics, a generalization where the equations of motion are postulated directly and are not constrained to be Euler–Lagrange equations of a least action principle. When difference equations are employed, the theory is called discrete dynamical systems. When the time variable runs over a set that is discrete over some intervals and continuous over other intervals or is any arbitrary time-set such as a Cantor set, one gets dynamic equations on time scales. Some situations may also be modeled by mixed operators, such as differential-difference equations.
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.
Computational cognition is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. In psychology, it is an approach which develops computational models based on experimental results. It seeks to understand the basis behind the human method of processing of information. Early on computational cognitive scientists sought to bring back and create a scientific form of Brentano's psychology.
In linguistics, Poverty of the stimulus (POS) arguments are arguments that children are not exposed to rich enough data within their linguistic environments to acquire every feature of their language. Poverty of the stimulus arguments are used as evidence for universal grammar, the notion that at least some aspects of linguistic competence are innate. The term "poverty of the stimulus" was coined by Noam Chomsky in 1980. Their empirical and conceptual bases are a topic of continuing debate in linguistics.
In the field of psychology, nativism is the view that certain skills or abilities are "native" or hard-wired into the brain at birth. This is in contrast to the "blank slate" or tabula rasa view, which states that the brain has inborn capabilities for learning from the environment but does not contain content such as innate beliefs. This factor contributes to the ongoing nature versus nurture dispute, one borne from the current difficulty of reverse engineering the subconscious operations of the brain, especially the human brain.
The following outline is provided as an overview of and topical guide to artificial intelligence:
Domain specificity is a theoretical position in cognitive science that argues that many aspects of cognition are supported by specialized, presumably evolutionarily specified, learning devices. The position is a close relative of modularity of mind, but is considered more general in that it does not necessarily entail all the assumptions of Fodorian modularity. Instead, it is properly described as a variant of psychological nativism. Other cognitive scientists also hold the mind to be modular, without the modules necessarily possessing the characteristics of Fodorian modularity.
In linguistics, the innateness hypothesis, also known as the nativist hypothesis, holds that humans are born with at least some knowledge of linguistic structure. On this hypothesis, language acquisition involves filling in the details of an innate blueprint rather than being an entirely inductive process. The hypothesis is one of the cornerstones of generative grammar and related approaches in linguistics. Arguments in favour include the poverty of the stimulus, the universality of language acquisition, as well as experimental studies on learning and learnability. However, these arguments have been criticized, and the hypothesis is widely rejected in other traditions such as usage-based linguistics. The term was coined by Hilary Putnam in reference to the views of Noam Chomsky.
Ron Sun is a cognitive scientist who has made significant contributions to computational psychology and other areas of cognitive science and artificial intelligence. He is currently professor of cognitive sciences at Rensselaer Polytechnic Institute, and formerly the James C. Dowell Professor of Engineering and Professor of Computer Science at University of Missouri. He received his Ph.D. in 1992 from Brandeis University.
Laura-Ann Petitto is a cognitive neuroscientist and a developmental cognitive neuroscientist known for her research and scientific discoveries involving the language capacity of chimpanzees, the biological bases of language in humans, especially early language acquisition, early reading, and bilingualism, bilingual reading, and the bilingual brain. Significant scientific discoveries include the existence of linguistic babbling on the hands of deaf babies and the equivalent neural processing of signed and spoken languages in the human brain. She is recognized for her contributions to the creation of the new scientific discipline, called educational neuroscience. Petitto chaired a new undergraduate department at Dartmouth College, called "Educational Neuroscience and Human Development" (2002-2007), and was a Co-Principal Investigator in the National Science Foundation and Dartmouth's Science of Learning Center, called the "Center for Cognitive and Educational Neuroscience" (2004-2007). At Gallaudet University (2011–present), Petitto led a team in the creation of the first PhD in Educational Neuroscience program in the United States. Petitto is the Co-Principal Investigator as well as Science Director of the National Science Foundation and Gallaudet University’s Science of Learning Center, called the "Visual Language and Visual Learning Center (VL2)". Petitto is also founder and Scientific Director of the Brain and Language Laboratory for Neuroimaging (“BL2”) at Gallaudet University.
Embodied cognition is the concept suggesting that many features of cognition are shaped by the state and capacities of the organism. The cognitive features include a wide spectrum of cognitive functions, such as perception biases, memory recall, comprehension and high-level mental constructs and performance on various cognitive tasks. The bodily aspects involve the motor system, the perceptual system, the bodily interactions with the environment (situatedness), and the assumptions about the world built the functional structure of organism's brain and body.
In the philosophy of artificial intelligence, GOFAI is classical symbolic AI, as opposed to other approaches, such as neural networks, situated robotics, narrow symbolic AI or neuro-symbolic AI. The term was coined by philosopher John Haugeland in his 1985 book Artificial Intelligence: The Very Idea.