Connectionist models of cognitive development: where next?
By Jeffrey L. Elman. 2005
153 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology, Cognitive Science & Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tomer D. Ullman
- Josh Tenenbaum
- Brenden M. Lake
- Nick C. Ellis
- Samuel J. Gershman
- D. Larsen-Freeman
- Clay Beckner
- Morten H. Christiansen
In Developmental and Educational Psychology
- D. Larsen-Freeman
- Tomer D. Ullman
- Nick C. Ellis
- Brenden M. Lake
- Samuel J. Gershman
- Morten H. Christiansen
- Josh Tenenbaum
- Ping Li
In Cognitive Science & Psychology
- Tomer D. Ullman
- Brenden M. Lake
- Morten H. Christiansen
- Samuel J. Gershman
- Josh Tenenbaum
- D. Larsen-Freeman
- John H. Holland
- Ping Li
Citations in the corpus
- What can the brain teach us about building artificial intelligence? (2016, background): “(Elman, 2005; Elman et al., 1996), but a simple inductive bias, for example the tendency to notice things that move other things, can bootstrap reasoning about more abstract concepts of agency”
- Language Is a Complex Adaptive System: Position Paper (2009, background): “Elman (2005) pointed out that multiple small phenotypic differences between humans and other primates (such as in degree of sociability, shared attention, memory capacity, rapid sequencing ability, vocal tract control, etc.) may in combination result in profound consequences, allowing means of…”
- Building Machines that Learn and Think Like People (2018, background): “Connectionists have argued that innate constraints in the form of hard-wired cortical circuits are unlikely (Elman, 2005; Elman et al., 1996), but a simple inductive bias, for example the tendency to notice things that move other things, can bootstrap reasoning about more abstract concepts of agency”
- Beyond babytalk: Re-evaluating the nature and content of speech input to preverbal infants (2007, methodology): “…computational models, such as input-based accounts (e.g. Matthews, Lieven, Theakston, & Tomasello, 2005) and connectionist models (e.g. Elman, 1993; Elman, 2005) have increasingly attempted to use ecologically valid input, by using child-directed speech corpora from sources like the CHILDES…”
- Age of acquisition: its neural and computational mechanisms. (2007, background): “…views in developmental psychology and cognitive neuroscience that early learning leads to dedicated neural circuitry that affects the form of cognitive and neural structures at later stages of development (Elman, 2005; Elman et al., 1996; Kello, 2004; Kuhl, 2000, 2004 ; L. B. Smith & Thelen, 2003).”