Matthew Schlesinger

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Domenico ParisiInstitute of Cognitive Sciences and Technologies National Research Council, Italy, RomeVerified email at istc.cnr.it
Angelo CangelosiProfessor of Machine Learning and Robotics, University of ManchesterVerified email at manchester.ac.uk
Dima AmsoColumbia UniversityVerified email at columbia.edu
Scott P. JohnsonUCLAVerified email at ucla.edu
Ben GoertzelSingularityNETVerified email at singularitynet.io
Matthias ScheutzProfessor of Computer Science and Cognitive Science, Tufts UniversityVerified email at tufts.edu
Alexei V. SamsonovichGeorge Mason UniversityVerified email at gmu.edu
Stuart C. ShapiroProfessor Emeritus of Computer Science and Engineering, University at BuffaloVerified email at buffalo.edu
John F SowaVivoMind Research, LLCVerified email at bestweb.net
Andrew BartoUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Bob McMurrayF. Wendell Miller Professor of Psychological and Brain Sciences, CommunicationVerified email at uiowa.edu
Christian BalkeniusProfessor of Cognitive Science, Lund UniversityVerified email at lucs.lu.se
Susan RiveraUniversity of California, DavisVerified email at ucdavis.edu
neda hantehzadehSouthern Illinois UniversityVerified email at siu.edu
Alessandro Di NuovoProfessor of Machine Intelligence, Sheffield Hallam University (UK)Verified email at shu.ac.uk
Javier MovellanResearch Professor, University of California San DiegoVerified email at mplab.ucsd.edu
Roberto LimongiBrandon UniversityVerified email at brandonu.ca

Matthew Schlesinger

Southern Illinois University

Verified email at siu.edu - Homepage

cognitive development developmental robotics visual neuroscience computational models


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Developmental robotics: From babies to robots A Cangelosi, M Schlesinger Cambridge, MA: MIT Press/Bradford Books, 2015	542	2015
Mapping the Landscape of Human-Level Artificial General Intelligence SS Adams, I Arel, J Bach, R Coop, R Furlan, B Goertzel, JS Hall, ... AI Magazine 33 (1), 25-42, 2012	284	2012
The agent-based approach: A new direction for computational models of development M Schlesinger, D Parisi Developmental Review 21 (1), 121-146, 2001	149	2001
From babies to robots: the contribution of developmental robotics to developmental psychology A Cangelosi, M Schlesinger Child Development Perspectives 12 (3), 183-188, 2018	98	2018
Learning to reach by constraining the movement search space M Schlesinger, D Parisi, J Langer Developmental Science 3 (1), 67-80, 2000	70	2000
Optimal control methods for simulating the perception of causality in young infants M Schlesinger, A Barto	70*	1999
Infants’ developing expectations of possible and impossible tool‐use events between ages 8 and 12 months M Schlesinger, J Langer Developmental Science 2 (2), 195-205, 1999	62	1999
Artificial life and Piaget D Parisi, M Schlesinger Cognitive Development 17 (3-4), 1301-1321, 2002	53	2002
The neural basis for visual selective attention in young infants: A computational account M Schlesinger, D Amso, SP Johnson Adaptive Behavior 15 (2), 135-148, 2007	47	2007
A lesson from robotics: Modeling infants as autonomous agents M Schlesinger Adaptive Behavior 11 (2), 97-107, 2003	41	2003
The past, present, and future of computational models of cognitive development M Schlesinger, B McMurray Cognitive Development 27 (4), 326-348, 2012	37	2012
A comparison study of saliency models for fixation prediction on infants and adults A Mahdi, M Su, M Schlesinger, J Qin IEEE Transactions on Cognitive and Developmental Systems 10 (3), 485-498, 2017	36	2017
Cognitive development in the first two years J Langer, S Rivera, M Schlesinger, A Wakeley Handbook of developmental psychology, 141-171, 2003	28*	2003
Evolving agents as a metaphor for the developing child M Schlesinger Developmental Science 7 (2), 158-164, 2004	27	2004
Developmental robotics A Cangelosi, M Schlesinger Developmental Robotics: from Babies to Robots., 2015	25	2015
An external focus of attention enhances manual tracking of occluded and visible targets M Schlesinger, J Porter, R Russell Frontiers in Psychology 3, 2013	25	2013
Prediction-learning in infants as a mechanism for gaze control during object exploration M Schlesinger, SP Johnson, D Amso Frontiers in Perception Science 5, 1-12, 2014	21	2014
Where infants look when impossible things happen: simulating and testing a gaze-direction model M Schlesinger, P Casey Connection Science 15 (4), 271-280, 2003	20	2003
Investigating the origins of intrinsic motivation in human infants M Schlesinger Intrinsically Motivated Learning in Natural and Artificial Systems, 367-392, 2013	19	2013
Simulating the role of visual selective attention during the development of perceptual completion M Schlesinger, D Amso, SP Johnson Developmental Science 15 (6), 739-752, 2012	19	2012

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