Research and Development

Psychometric Artificial Intelligence

Natural Intelligence

Handbook of Intelligence edited by Robert J. Sternberg, The Cambridge Handbook of Intelligence edited by Robert J. Sternberg and Scott Barry Kaufman, The Neuroscience of Intelligence by Richard J. Haier, Intelligence and Cognitive Abilities as Competencies in Development by Damian P. Birney and Robert J. Sternberg and A Computational Analysis of General Intelligence Tests for Evaluating Cognitive Development by Fernando Martínez-Plumed, César Ferri, José Hernández-Orallo and María J. Ramírez-Quintana.

Artificial Intelligence

Universal Psychometrics: Measuring Cognitive Abilities in the Machine Kingdom by José Hernández-Orallo, David L. Dowe and M. Victoria Hernández-Lloreda, Can Machine Intelligence Be Measured in the Same Way as Human Intelligence? by Tarek Besold, José Hernández-Orallo and Ute Schmid, The Measure of All Minds: Evaluating Natural and Artificial Intelligence by José Hernández-Orallo, Historical Account of Computer Models Solving IQ Test Problems by Fernando Martınez-Plumed, José Hernández-Orallo, Ute Schmid, Michael Siebers and David L. Dowe, Computer Models Solving Intelligence Test Problems: Progress and Implications by José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers and David L. Dowe, Verbal IQ of a Four-year Old Achieved by an AI System by Stellan Ohlsson, Robert H. Sloan, György Turán and Aaron Urasky, A Program for the Solution of a Class of Geometric-analogy Intelligence-test Questions by Thomas G. Evans, Solving Raven's IQ-tests: An AI and Cognitive Modeling Approach by Marco Ragni and Stefanie Neubert, Analyzing Raven's Intelligence Test: Cognitive Model, Demand, and Complexity by Marco Ragni and Stefanie Neubert, Measuring Abstract Reasoning in Neural Networks by Adam Santoro, Felix Hill, David Barrett, Ari Morcos and Timothy Lillicrap, DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems by Jacek Mańdziuk and Adam Żychowski, Complexity in Analogy Tasks: An Analysis and Computational Model by Philip Stahl and Marco Ragni, Predicting Numbers: An AI Approach to Solving Number Series by Marco Ragni and Andreas Klein, An Anthropomorphic Method for Number Sequence Problems by Claes Strannegård, Mehrdad Amirghasemi and Simon Ulfsbäcker, Deep Neural Solver for Math Word Problems by Yan Wang, Xiaojiang Liu and Shuming Shi, Analysing Mathematical Reasoning Abilities of Neural Models by David Saxton, Edward Grefenstette, Felix Hill and Pushmeet Kohli, The Winograd Schema Challenge by Hector J. Levesque, Ernest Davis and Leora Morgenstern, Watson: Beyond Jeopardy! by David Ferrucci, Anthony Levas, Sugato Bagchi, David Gondek and Erik T. Mueller, A Study of the Knowledge Base Requirements for Passing an Elementary Science Test by Peter Clark, Philip Harrison and Niranjan Balasubramanian, MCTest: A Challenge Dataset for the Open-domain Machine Comprehension of Text by Matthew Richardson, Christopher J. C. Burges and Erin Renshaw, Recognizing Textual Entailment: Models and Applications by Ido Dagan, Dan Roth, Mark Sammons and Fabio M. Zanzotto, VQA: Visual Question Answering by Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick and Devi Parikh, Towards AI-complete Question Answering: A Set of Prerequisite Toy Tasks by Jason Weston, Antoine Bordes, Sumit Chopra and Tomas Mikolov, Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions by Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Turney and Daniel Khashabi, Turing++ Questions: A Test for the Science of (Human) Intelligence by Tomaso Poggio and Ethan Meyers, My Computer Is an Honor Student — but How Intelligent Is It? Standardized Tests as a Measure of AI by Peter Clark and Oren Etzioni, A Dynamic Intelligence Test Framework for Evaluating AI Agents by Nader Chmait, Yuan-Fang Li, David L. Dowe and David G. Green, Using Thought-provoking Children's Questions to Drive Artificial Intelligence Research by Erik T. Mueller and Henry Minsky and How Well Do Machines Perform on IQ Tests: A Comparison Study on a Large-scale Dataset by Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng and Yi Zhou.