Gary Drescher

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Gary L. Drescher is a scientist in the field of artificial intelligence (AI), [1] [2] [3] [4] and author of multiple books on AI, including Made-Up Minds: A Constructivist Approach to Artificial Intelligence.

His book describes a theory of how a computer program might be implemented to learn and use new concepts that have not been programmed into it. It introduces the Schema Mechanism, a general learning and concept-building mechanism inspired by Jean Piaget's account of human cognitive development.

The Schema Mechanism is intended to replicate key aspects of cognitive development during infancy. It takes Piaget's theory of human development as a source of inspiration for an artificial learning mechanism, and it extends and tests Piaget's theory by seeing whether a specific mechanism that works according to Piagetian themes exhibits Piagetian abilities.

In 2001 and 2002, Drescher was a visiting fellow at the Center for Cognitive Studies at Tufts University, which is directed by the American philosopher Daniel Dennett. Following his work at Tufts, he wrote the 2006 book Good and Real: Demystifying Paradoxes from Physics to Ethics, in which he defends rigorously mechanistic materialism. In this book, he discusses quantum mechanics, defending the Everett or Multiple Worlds Interpretation, against the dominant Copenhagen Interpretation. Among other things, he argues that the Everett Interpretation of quantum mechanics, allows for a completely determinist outlook, and it undermines the views of those (like Roger Penrose) who hold that quantum mechanics can give us some special insights into the nature of consciousness. In this book, Drescher also provides treatments of the Prisoner's Dilemma and Newcomb's Problem to build a defense of the golden rule and Kant's categorical imperative which does not require that we posit anything beyond the physical world as understood by the natural sciences.

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Educational psychology is the branch of psychology concerned with the scientific study of human learning. The study of learning processes, from both cognitive and behavioral perspectives, allows researchers to understand individual differences in intelligence, cognitive development, affect, motivation, self-regulation, and self-concept, as well as their role in learning. The field of educational psychology relies heavily on quantitative methods, including testing and measurement, to enhance educational activities related to instructional design, classroom management, and assessment, which serve to facilitate learning processes in various educational settings across the lifespan.

<span class="mw-page-title-main">Thought experiment</span> Hypothetical situation

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<span class="mw-page-title-main">Wigner's friend</span> Thought experiment in theoretical quantum physics

Wigner's friend is a thought experiment in theoretical quantum physics, first published by the Hungarian-American physicist Eugene Wigner in 1961, and further developed by David Deutsch in 1985. The scenario involves an indirect observation of a quantum measurement: An observer observes another observer who performs a quantum measurement on a physical system. The two observers then formulate a statement about the physical system's state after the measurement according to the laws of quantum theory. In the Copenhagen interpretation, the resulting statements of the two observers contradict each other. This reflects a seeming incompatibility of two laws in the Copenhagen interpretation: the deterministic and continuous time evolution of the state of a closed system and the nondeterministic, discontinuous collapse of the state of a system upon measurement. Wigner's friend is therefore directly linked to the measurement problem in quantum mechanics with its famous Schrödinger's cat paradox.

<span class="mw-page-title-main">Jean Piaget</span> Swiss psychologist, biologist, logician, philosopher and academic (1896–1980)

Jean William Fritz Piaget was a Swiss psychologist known for his work on child development. Piaget's theory of cognitive development and epistemological view are together called genetic epistemology.

Artificial consciousness (AC), also known as machine consciousness (MC), synthetic consciousness or digital consciousness, is the consciousness hypothesized to be possible in artificial intelligence. It is also the corresponding field of study, which draws insights from philosophy of mind, philosophy of artificial intelligence, cognitive science and neuroscience. The same terminology can be used with the term "sentience" instead of "consciousness" when specifically designating phenomenal consciousness.

<span class="mw-page-title-main">Image schema</span>

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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.

Evolutionary educational psychology is the study of the relation between inherent folk knowledge and abilities and accompanying inferential and attributional biases as these influence academic learning in evolutionarily novel cultural contexts, such as schools and the industrial workplace. The fundamental premises and principles of this discipline are presented below.

In psychology, constructivism refers to many schools of thought that, though extraordinarily different in their techniques, are all connected by a common critique of previous standard approaches, and by shared assumptions about the active constructive nature of human knowledge. In particular, the critique is aimed at the "associationist" postulate of empiricism, "by which the mind is conceived as a passive system that gathers its contents from its environment and, through the act of knowing, produces a copy of the order of reality".

Domain-general learning theories of development suggest that humans are born with mechanisms in the brain that exist to support and guide learning on a broad level, regardless of the type of information being learned. Domain-general learning theories also recognize that although learning different types of new information may be processed in the same way and in the same areas of the brain, different domains also function interdependently. Because these generalized domains work together, skills developed from one learned activity may translate into benefits with skills not yet learned. Another facet of domain-general learning theories is that knowledge within domains is cumulative, and builds under these domains over time to contribute to our greater knowledge structure. Psychologists whose theories align with domain-general framework include developmental psychologist Jean Piaget, who theorized that people develop a global knowledge structure which contains cohesive, whole knowledge internalized from experience, and psychologist Charles Spearman, whose work led to a theory on the existence of a single factor accounting for all general cognitive ability.

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Neo-Piagetian theories of cognitive development criticize and build upon Jean Piaget's theory of cognitive development.

An index list of articles about the philosophy of science.

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<span class="mw-page-title-main">Juan Pascual-Leone</span>

Juan Pascual-Leone is a developmental psychologist and founder of the neo-Piagetian approach to cognitive development. He introduced this term into the literature and put forward key predictions about developmental growth of mental attention and working memory.

References

  1. Armstrong, Alice (2008). Tactic-Based Learning for Collective Learning Systems. pp. 22–. ISBN   9780549521181 . Retrieved 25 June 2012.
  2. Mateas, Michael; Sengers, Phoebe (2003). Narrative Intelligence. John Benjamins Publishing Company. pp. 32–. ISBN   9781588112743 . Retrieved 25 June 2012.
  3. Boden, Margaret A. (2006). Mind as Machine: A History of Cognitive Science. Oxford University Press. pp. 494–. ISBN   9780199543168 . Retrieved 25 June 2012.
  4. Bramer, Max A.; Coenen, Frans; Tuson, Andrew (2006-12-18). Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-Sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer. pp. 130–. ISBN   9781846286629 . Retrieved 25 June 2012.