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Neural Networks as a Learning Paradigm for General Normal Form Games
45/45 checkable references clean · checked 2026-07-25
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 45 checked references that resolve
resolves10.1016/s1574-0021(96)01011-8
Chapter 9 Neural networks for encoding and adapting in dynamic economies
resolves10.3758/bf03212325
Computational analyses in cognitive neuroscience: In defense of biological implausibility
resolves10.1016/s0893-6080(00)00009-5
Local minima and plateaus in hierarchical structures of multilayer perceptrons
resolves10.1016/0893-6080(89)90003-8
On the approximate realization of continuous mappings by neural networks
resolves10.1016/j.jebo.2002.10.001
Deductive versus inductive equilibrium selection: experimental results
resolves10.1016/s0898-1221(97)90003-1
Case-based reasoning: Experiences, lessons, & future directions
resolves10.1038/333452a0
Network model of shape-from-shading: neural function arises from both receptive and projective fields
resolves10.1093/cercor/1.4.293
A More Biologically Plausible Learning Rule Than Backpropagation Applied to a Network Model of Cortical Area 7a
resolves10.1109/ijcnn.1990.137819
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
resolves10.1016/j.geb.2008.03.003
Equilibrium play and best response to (stated) beliefs in normal form games
resolves10.1006/game.1994.1026
A Laboratory Investigation of Multiperson Rationality and Presentation Effects
resolves10.1016/j.jebo.2008.09.008
Learning to play games: Neural networks as bounded-rational players
resolves10.1016/s0167-2681(00)00155-4
Anticipatory learning in two-person games: some experimental results
resolves10.1162/106454602753694765
Agent-Based Computational Economics: Growing Economies From the Bottom Up
resolves10.1038/331679a0
A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons
resolves10.1037/0278-7393.29.6.1066
How Do People Learn to Allocate Resources? Comparing Two Learning Theories.
The 19 references without a DOI — listed, not checked
no DOI — not checkedSelection criteria in coordination games: Some experimental results
no DOI — not checkedPredicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
no DOI — not checkedref13
no DOI — not checkedref20
no DOI — not checkedref23
no DOI — not checkedref32
no DOI — not checkedref34
no DOI — not checkedref36
no DOI — not checkedref38
no DOI — not checkedNeural networks and statistical models
no DOI — not checkedref45
no DOI — not checkedBackpropagation can give rise to spurious local minima even for networks without hidden layers
no DOI — not checkedref49
no DOI — not checkedContagion through learning
no DOI — not checkedref54
no DOI — not checkedA biologically plausible implementation of error-backpropagation for classification tasks
no DOI — not checkedref56
no DOI — not checkedref58
no DOI — not checkedUnraveling in Guessing Games: An Experimental Study
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