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Building Thinking Machines by Solving Animal Cognition Tasks

Matthew Crosby
2020 Minds and Machines  
This is provided by the recent Animal-AI Testbed, which translates animal cognition tests for AI and provides a bottom-up research pathway for building thinking machines that create predictive models of  ...  approach for building thinking machines.  ...  The Animal-AI Olympics competition was supported by Amazon AWS, GoodAI, Unity, the WBA-Initiative and AIJ.  ... 
doi:10.1007/s11023-020-09535-6 fatcat:vik5o57ybzh4dmyaat7a7vxw5m

New Perspectives on Human Problem Solving

Robert L. Goldstone, Zygmunt Pizlo
2009 Journal of Problem Solving  
Long after humans have been replaced by machines in tasks where automatic algorithms can be deployed to effectively accommodate known situations, genuine problem solving requiring the creation of thinking  ...  These capabilities still distinguish human problem solving from machine intelligence efforts.  ...  capacity, and what tasks can be solved using existing pre-determined strategies and representations.  ... 
doi:10.7771/1932-6246.1055 fatcat:aen2uqynirb37amzhuxaoxyapi

To Root Artificial Intelligence Deeply in Basic Science for a New Generation of AI [article]

Jingan Yang, Yang Peng
2020 arXiv   pre-print
science, psychology and data science; (ii) how is the electrical signal transmitted by the human brain?  ...  challenges of artificial intelligence research for the next 20 years which include:~(i) to explore the working mechanism of the human brain on the basis of understanding brain science, neuroscience, cognitive  ...  Funding: This work is supported in part by the Natural Science Foundation of China Grants no. 69985003. Author contributions: J.  ... 
arXiv:2009.05678v1 fatcat:vn4pdl3k7jdwrmx4dygsyyfxvy

Cognitive Mimetics for Designing Intelligent Technologies

Tuomo Kujala, Pertti Saariluoma
2018 Advances in Human-Computer Interaction  
We conclude by a practical example showing how cognitive mimetics can be a highly valuable complimentary approach for pattern matching and machine learning based design of artificial intelligence (AI)  ...  In robotics, the sensory-motor systems of humans and animals are a source of design solutions.  ...  The work was partly funded by DIMECC D4Value project.  ... 
doi:10.1155/2018/9215863 fatcat:fz7osub64fbw7bjsryarscyhne

Bio-Inspired Animated Characters A Mechanistic & Cognitive View

Simpson Bond
2016 Figshare  
Unlike traditional animation techniques, which attemptto copy human movement, 'cognitive' animation solutions mimicthe brain's approach to problem solving, i.e., a logical (intelligent)thinking structure  ...  Finally, drawing from experimentation andliterature, we suggest hypotheses for solving these questions andmore.  ...  We examine how the human brain 'thinks' to accomplish tasks; and how the brain solves unforeseen problems.  ... 
doi:10.6084/m9.figshare.4268924 fatcat:o3jwe53qxjh2rdlm7b24t6wupu

Thinking Fast and Slow in AI [article]

Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
2020 arXiv   pre-print
This paper proposes a research direction to advance AI which draws inspiration from cognitive theories of human decision making.  ...  the causes of some human capabilities that are still lacking in AI (for instance, adaptability, generalizability, common sense, and causal reasoning), we may obtain similar capabilities in an AI system by  ...  Introspection and Governance Our aim is to build machines that are able to autonomously figure out how to utilize their cognitive resources to solve any challenge that comes their way.  ... 
arXiv:2010.06002v2 fatcat:a7hcfw3n6nf3xb45xrflbu3yj4

Can We Define Levels of Artificial Intelligence?

S.C. Kak
1996 Journal of Intelligent Systems  
It is argued that matching the conceptual abilities of animals would require new approaches to AI.  ...  Logical tasks are easy for machines whereas AI tasks are hard.  ...  Nevertheless, even in cognitive tasks of the kind normally associated with human intelligence animals may perform adequately.  ... 
doi:10.1515/jisys.1996.6.2.133 fatcat:vl76xk2kmzfctdozpts6n6d7dm

Can Machine Intelligence be Measured in the Same Way as Human intelligence?

Tarek Besold, José Hernández-Orallo, Ute Schmid
2015 Künstliche Intelligenz  
problems in Artificial Intelligence (AI), Artificial General Intelligence (AGI), as well as in Cognitive Modelling, has significantly grown.  ...  Permanent repository link: Link to published version: http://dx.Abstract In recent years the number of research projects on computer programs solving human intelligence  ...  , animals and machines.  ... 
doi:10.1007/s13218-015-0361-4 fatcat:t2o5jpinubcoxmnwwtqom6wm34

Animal cognition

James L. Gould
2004 Current Biology  
When Descartes suggested that nonhuman animals are machines, he made formal a view widely taken for granted by most thinkers in the Western tradition.  ...  Darwin's theory of evolution by natural selection licensed a new take on the problem: the difference between human and animal mentality was more likely to be one of degree.  ...  Solving what are for the species and individual novel problems seems the best guide to animal thinking (and the most fruitful area of current research).  ... 
doi:10.1016/j.cub.2004.05.008 pmid:15186759 fatcat:dlj3s6ybubggxgolztqn64d4tu

What deep learning can tell us about higher cognitive functions like mindreading? [article]

Jaan Aru, Raul Vicente
2019 arXiv   pre-print
In the main part we will assess whether DL could also help us to clarify the computations underlying higher cognitive functions such as Theory of Mind.  ...  In addition, we will compare the objectives and learning signals of brains and machines, leading us to conclude that simply scaling up the current DL algorithms will most likely not lead to human level  ...  This work was supported by the Estonian Research Council through the personal research grant PUT1476, and the Estonian Centre of Excellence in IT (EXCITE), funded by the European Regional Development Fund  ... 
arXiv:1803.10470v2 fatcat:cjklilj3cnhfhbbxp2odt4et4y

Autopoiesis + extended cognition + nature = can buildings think?

Dennis Dollens
2015 Communicative & Integrative Biology  
Evolving Turing's "Can machines think?" The seemingly banal question, Can buildings think? riffs Alan Turing's 1950 "Can machines think?"  ...  I ask provocatively, Can buildings think? as a question echoing Turing's own, "Can machines think?"  ... 
doi:10.4161/19420889.2014.994373 pmid:26478784 pmcid:PMC4594259 fatcat:fcrch7ikzjadrgrmyltjge4iiq

Page 42 of Psychological Abstracts Vol. 87, Issue 1 [page]

2000 Psychological Abstracts  
This M-adjustment is a pre-linguistic operation, not expressible by a formal language. Hence, the scientific endeavor can not be reduced to a machine task 330. Bailer-Jones, Daniela M.  ...  The author has investigated scientists: (1) in their own labs, as they rea- son about their research “‘live’’, and (2) by conducting experiments on scientific thinking and model building.  ... 

Cognitive science: From computers to ant hills as models of human thought [chapter]

Peter Gärdenfors
2015 Cognition, Meaning and Action. Lodz-Lund Studies in Cognitive Science  
The future of cognitive science The goal of contemporary cognitive science is not primarily to build a thinking machine, but to increase our understanding of cognitive processes.  ...  By arranging the world in a smart way we can afford to be stupid. We have constructed various kinds of artefacts that help us solve cognitive tasks.  ... 
doi:10.18778/7969-759-5.02 fatcat:ktjuaiho2jhlbdi7hlcdugo2nq

Vygotskian Autotelic Artificial Intelligence: Language and Culture Internalization for Human-Like AI [article]

Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer
2022 arXiv   pre-print
This knowledge, and some argue, some of our cognitive functions such as abstraction, compositional imagination or relational thinking, are formed through linguistic and cultural interactions.  ...  Building autonomous artificial agents able to grow open-ended repertoires of skills is one of the fundamental goals of AI.  ...  Animal and preverbal infants demonstrate complex cognition, 75, 76 but language does impact the way we perceive, 77, 78 represent concepts, 41 conduct compositional and relational thinking, 38, 68  ... 
arXiv:2206.01134v1 fatcat:nr7m5nsbijhmphfe6uuxxrosca

Building a Conversational Agent based on the principles of Cognitive Pragmatics using Cognitive Architecture

Asst. Prof. G. Gnaneswari, Dr. Vijayakumar
2017 International Journal of Engineering Research and  
Speech recognition, natural language processing and cognitive architecture all play a vital role in building a conversational agent.  ...  the answer for this question depends on a number of aspects such as rational thinking, decision making, belief, etc.  ...  COGNITIVE ARCHITECTURE: Cognitive architectures play a vital role in providing blueprints for building future intelligent systems that thinks and acts like humans.  ... 
doi:10.17577/ijertv6is020093 fatcat:3nwoyo44vrf2bmwbapnr55qaqa
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