Return to Cognitive Science

2018 ◽  
Author(s):  
James A. Anderson
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Machine Intelligence ◽  
Active Memory ◽  
Practical Project ◽  
Digital Computers

Is ambiguity unavoidable? It is found in vision and everywhere in language. Semantic nets for disambiguation are realized in George Miller’s WordNet, a practical project helping disambiguate search strings using contextual disambiguation. Simple association using traditional passive memory is boring compared to complex association using active memory with multiple associative links active at the same time to perform a clearly defined task. A “mixer” is used to recognize items from a list, and generalization of the mixer is used for disambiguation. The chapter also discusses artificial intelligence, both its origins and currently ignored questions: Are biological intelligence and machine intelligence the same thing? Can digital computers really mimic in digital software a largely analog brain? The important question is not why machines are becoming so smart but why humans are still so good. Artificial intelligence is missing something important probably based on hardware differences.

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

scholarly journals Representations, Affordances, and Interactive Systems

2021 ◽  
Vol 5 (5) ◽  
pp. 23
Author(s):  
Robert Rowe
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Data Structures ◽  
Digital Computer ◽  
Mental Representations ◽  
Interactive Systems ◽  
Algorithmic Composition ◽  
The World ◽  
History Of

The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program itself. Parallel histories in cognitive science and artificial intelligence have (of necessity) confronted their own notions of representations, including the ecological perception view of J.J. Gibson, who claims that mental representations are redundant to the affordances apparent in the world, its objects, and their relations. This review tracks these parallel histories and how the orientations and designs of multimodal interactive systems give rise to their own affordances: the representations and models used expose parameters and controls to a creator that determine how a system can be used and, thus, what it can mean.

scholarly journals Review of Artificial Intelligence

2020 ◽  
pp. 143-171
Author(s):  
K. P. V. Sai Aakarsh ◽  
Adwin Manhar
Keyword(s):  
Artificial Intelligence ◽  
Computational Intelligence ◽  
Medical Diagnosis ◽  
Computer Application ◽  
Knowledge Based Systems ◽  
Human Race ◽  
Knowledge Based ◽  
Ordinary Person ◽  
Digital Computers

Over many centuries, tools of increasing sophistication have been developed to serve the human race Digital computers are, in many respects, just another tool. They can perform the same sort of numerical and symbolic manipulations that an ordinary person can, but faster and more reliably. This paper represents review of artificial intelligence algorithms applying in computer application and software. Include knowledge-based systems; computational intelligence, which leads to Artificial intelligence, is the science of mimicking human mental faculties in a computer. That assists Physician to make dissection in medical diagnosis.

scholarly journals Erosión ética en el trato con la inteligencia artificial

2020 ◽  
pp. 43-58
Author(s):  
Desireé Torres Lozano
Keyword(s):  
Artificial Intelligence ◽  
San Francisco ◽  
Mirror Neurons ◽  
Machine Intelligence ◽  
Publishing Company ◽  
Frankfurt Am Main ◽  
Modern Approach ◽  
Oxford University ◽  
Computing Machinery ◽  
West Bohemia

ResumenEl presente artículo tiene como finalidad definir la IA y poner en discusión su injerencia social, así como las consecuencias éticas que esto conlleva, ya que la construcción del hombre contemporáneo debe tener en cuenta el trato con estos sistemas. Definiremos qué es la inteligencia, cómo es que se le ha llamado inteligencia a los procesos de las máquinas y podremos establecer un diálogo entre la influencia ética que conlleva el trato con las mismas. Palabras clave Inteligencia artificial; Ética; Sistemas; Tecnología; Hombre Referencias Aristóteles, De Anima, Madrid: Gredos, 2000. ___, Ética a Nicómaco, Madrid: Gredos, 2000. ___, Política, Madrid, Gredos, 2003. Aspe, V. Nuevos sentidos mimesis en la Poética de Aristóteles, en Tópicos, Revista de filosofía, México: Tópicos, 2005. Bellman, Richard, An Introduction To Artificial Intelligence, San Francisco: Boyd and Fraser Publishing Company, 1978. Büchner et al, Discovering Internet Marketing Intelligence through Web Log Mining, Antrin, Mine it, Newtownabbey: University of Ulster Shore Road, 1998. Corominas, Pascual, Diccionario Crítico Etimológico Castellano e Hispánico, Madrid, Gredos, 2002. Descartes, Meditaciones Metafísicas, Gredos, Madrid, 2000. Elaine Rich, Kevin Knight, Artificial Intelligence, New Delhi: McGraw-Hill, 1991. Bude, Gesellschaft der Angst, Hamburgo: Hamburger Edition HIS, 2014. Heidegger, Platon: Sophistes, Frankfurt: Vittorio Klostermann, 1992. ___, Über den Humanismus, Frankfurt: Vittorio Klostermann, 1949. ___, Was heisst denken?, Frankfurt Am Main: Vittorio Klostermann, 2002. Hickock, Gregory, The Myth of Mirror Neurons. The Real Neuroscience of communication and cognition, Nueva York: W. W. Norton & ­Company, 2014. J. Haugeland, Artificial Intelligence: The very idea, Cambridge: MIT Press, 1985. Kirk, G.S. y Raven, J. E., Los filósofos presocráticos, Madrid: Gredos, 1970. Kurzweil Raymond, The Age of Intelligent Machines, Cambridge: MIT Press, 1990. Mariarosaria Taddeo, Luciano Floridi, How AI can be a force for good, en Science, Vol. 361, Issue 6404, Oxford: Oxford University, 2018. Nils Johan Nilsson, Artificial Intelligence: A new synthesis, USA: Morgan Kaufmann, 1998. Platón, Cratilo, Madrid, Gredos, 2004. Poole David et al, Computational Intelligence, a Logical Approach, Oxford: Oxford University, 1998. Press, Gill, A Very Short History Of Artificial Intelligence (AI), USA: Forbes, 2016. Russell, Norvig, Artificial Intelligence, A Modern Approach, New Jersey, Pearson, 2010. Armstrong, S., & K. Sotala, ​How we​’re predicting AI​ or failing to,​ Beyond Artificial Intelligence, Machine Intelligence Research Institute, Pilsen: University of West Bohemia,2015. Turing Alan, MIND, Computing Machinery and Intelligence, Cambridge: A Quarterly Review of Psychology and Philosophy, 1950. Winston Patrick Henry, Artificial intelligence, USA: Addison Wesley, Publishing Company, 1992.

scholarly journals Editorial. AI, Arts & Design: Questioning Learning Machines

Artnodes ◽  
2020 ◽  
Author(s):  
Ruth West ◽  
Andrés Burbano
Keyword(s):  
Artificial Intelligence ◽  
Historical Development ◽  
Machine Intelligence ◽  
Special Issue ◽  
Control Structures ◽  
Learning Machines ◽  
The Arts ◽  
Production Of Culture ◽  
The Relationship ◽  
Algorithmic Bias

Explorations of the relationship between Artificial Intelligence (AI), the arts, and design have existed throughout the historical development of AI. We are currently witnessing exponential growth in the application of Machine Learning (ML) and AI in all domains of art (visual, sonic, performing, spatial, transmedia, audiovisual, and narrative) in parallel with activity in the field that is so rapid that publication can not keep pace. In dialogue with our contemplation about this development in the arts, authors in this issue answer with questions of their own. Through questioning authorship and ethics, autonomy and automation, exploring the contribution of art to AI, algorithmic bias, control structures, machine intelligence in public art, formalization of aesthetics, the production of culture, socio-technical dimensions, relationships to games and aesthetics, and democratization of machine-based creative tools the contributors provide a multifaceted view into crucial dimensions of the present and future of creative AI. In this Artnodes special issue, we pose the question: Does generative and machine creativity in the arts and design represent an evolution of “artistic intelligence,” or is it a metamorphosis of creative practice yielding fundamentally distinct forms and modes of authorship?

Cognitive Science in Telemedicine: From Psychology to Artificial Intelligence

2015 ◽  
pp. 5-22 ◽  
Author(s):  
Gabriella Pravettoni ◽  
Raffaella Folgieri ◽  
Claudio Lucchiari
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science
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