Publications

This page lists key publications related to the AERA system and its underlying research. Publications are grouped into 8 key categories, each of which is related to a unique area or focus of the AERA system and its underlying research.

Most of the publications are from researchers at Reykjavik University - the General Machine Intelligence group - and the Icelandic Institute for Intelligent Machines. Some relevant content from other research groups is also featured, especially if we consider it to help with explaining the methodology and underlying principles of AERA and related research.

A paper is listed under a category if (approx.) 25% or more of its content touches on that topic. Thus, any paper may be listed under more than one category.

Definition of AI

On Defining Artificial Intelligence

Author(s): Pei Wang (2020)
Publ.: Publ.: of Artificial General Intelligence 10(2):1-37
https://www.researchgate.net/publication/335279198_On_Defining_Artificial_Intelligence

Introduction to the JAGI Special Issue “On Defining Artificial Intelligence”: Commentaries and Author’s Response

Author(s): D. Monett, C. W. P. Lewis & K. R. Thórisson (2020)
Publ.: Editorial, Special Issue: On Defining Artificial Intelligence, Publ.: of Artificial General Intelligence, 11(2):1-4
https://alumni.media.mit.edu/~kris/ftp/JAGI%20Special%20Issue%20On%20Defining%20Artificial%20Intelligence%202020.pdf

Discretionarily Constrained Adaptation Under Insufficient Knowledge & Resources

Author(s): K. R. Thórisson (2020).
Part I: Introductory Commentary, Special Issue: On Defining Artificial Intelligence
Publ.: Publ.: of Artificial General Intelligence, 11(2):7-12
https://alumni.media.mit.edu/~kris/ftp/DCAULKR-JAGI-2020.pdf

Reductio ad Absurdum: On Oversimplification in Computer Science & its Pernicious Effect on Artificial Intelligence Research

Author(s): Thórisson, K. R. (2013)
Publ.: In A. H. M. Abdel-Fattah &K.-U. Kühnberger (eds), Proceedings of the Workshop Formalizing Mechanisms for Artificial General Intelligence and Cognition (Formal MAGiC), Beijing, China, July 31st, 31-35. Institute of Cognitive Science, Osnabrück
https://alumni.media.mit.edu/~kris/ftp/Thorisson-ReductioAdAbsurdum-AGI2013.pdf

Three fundamental misconceptions of artificial intelligence

Author(s): Pei Wang(2007)
Publ.: In Publ.: of Experimental & Theoretical Artificial Intelligence 19(3): 249-268
https://cis.temple.edu/~pwang/Publication/AI_Misconceptions.pdf

What Should AGI Learn From AI & CogSci?

Author(s): Pei Wang, Bas R. Steunebrink, and Kristinn R. Thórisson (2014)
Publ.: B. Goerzel, L. Orseau & J. Snaider (eds), Proc. Artificial General Intelligence (AGI-14), Aug., Quebec, Canada
http://alumni.media.mit.edu/~kris/ftp/AGI-CogSci.pdf

Methodology (Constructivist, Autonomic, Autocatalytic)

The Future of AI Research: Ten Defeasible ‘Axioms of Intelligence’

Author(s): K. R. Thórisson & H. Minsky (2022)
Publ.: Proc. Machine Learning Research, 192:5–21
https://proceedings.mlr.press/v192/thorisson22b/thorisson22b.pdf

About the Intricacy of Tasks

Author(s): L. M. Eberding, M. Belenchia, A. Sheikhlar and K. R. Thórisson (2021) Publ.: International Conference on Artificial General Intelligence, AGI-21, 65-74
http://alumni.media.mit.edu/~kris/ftp/Intricacy_and_Difficulty_AGI_2021.pdf

Architectures for Generality & Autonomy: Which Methodology?

Author(s): K. R. Thórisson (2017)
Publ.: IJCAI-17 Workshop on Architectures for Generality & Autonomy, International Joint Conference on Artificial Intelligence, August 19, Melbourne, Australia
https://alumni.media.mit.edu/~kris/ftp/IJCAI17-AGA-WhichMethodology.pdf

Safe Baby AGI

Author(s): J. Bieger, K. R. Thórisson & P. Wang (2015)
Publ.: J. Bieger, B. Goertzel & A. Potapov (eds.), Proc. 8th International Conference on Artificial General Intelligence (AGI-15), July, Berlin, Germany, 46-49
https://alumni.media.mit.edu/~kris/ftp/SafeBabyAGI-J.BiegerEtAl2015.pdf

Replicode: A Constructivist Programming Paradigm and Language

Author(s): Nivel, E. & K. R. Thórisson (2013)
Publ.: Reykjavik University School of Computer Science Technical Report, RUTR-SCS13001
http://cadia.ru.is/wiki/_media/public:publications:replicode.v2.4.rutr-scs13001.pdf

Approaches & Assumptions of Self-Programming in Achieving Artificial General Intelligence

Author(s): Thórisson, K. R., E. Nivel, R. Sanz & P. Wang (2012)
Publ.: Editorial, Special Issue of Publ.: of Artificial General Intelligence on Self-Programming, 3(3):1-10
https://alumni.media.mit.edu/~kris/ftp/JAGI-Special-Self-Progr-Editorial-ThorissonEtAl-09.pdf

From Constructionist to Constructivist A.I.

Author(s): Thórisson, K. R. (2009)
Publ.: AAAI Fall Symposium Series: Biologically Inspired Cognitive Architectures, Washington D.C., Nov. 5-7, 175-183. AAAI Tech Report FS-09-01, AAAI press, Menlo Park, CA
https://alumni.media.mit.edu/~kris/ftp/CustructivistAI-BICA-09-Thorisson-Keynote.pdf

Holistic Intelligence: Transversal Skills & Current Methodologies

Author(s): Thórisson, K. R. & E. Nivel (2009)
Publ.: Proc. of the Second Conference on Artificial General Intelligence (AGI-09), 220-221. Arlington, VA, USA, March 6-9
https://alumni.media.mit.edu/~kris/ftp/agi-09-TransversalSkills-Thorisson-Nivel.pdf

Self-Programming: Operationalizing Autonomy

Author(s): Nivel, E. & K. R. Thórisson (2009)
Publ.: Proc. of the Second Conference on Artificial General Intelligence (AGI-09), 150-155. Arlington, VA, USA, March 6-9
https://alumni.media.mit.edu/~kris/ftp/agi-09-self-programming-Nivel-Thorisson.pdf

Integrated A.I. Systems

Author(s): Thórisson, K. R. (2007)
Publ.: Minds & Machines, 17:11-25. Invited paper at The Dartmouth Artificial Intelligence Conference: The Next 50 Years — Commemorating the 1956 Founding of AI as a Research Discipline, July 13-15, 2006, Dartmouth, New Hampshire, U.S.A.
http://www.springerlink.com/content/y04485h9j3u8x431/fulltext.pdf

Autonomy, Generality & Learning

Causal Reasoning over Probabilistic Uncertainty

Author(s): L. M. Eberding & K. R. Thórisson (2023)
Publ.: Proc. Artificial General Intelligence Conference, 74-84
http://alumni.media.mit.edu/~kris/ftp/Causal_reasoning_over_probabilistic_uncertainty_AGI-2023

Seed-Programmed Autonomous General Learning

Author(s): K. R. Thórisson (2020)
Publ.: Proc. Machine Learning Research, 131:32-70
https://alumni.media.mit.edu/~kris/select_publ.html

Autonomous Cumulative Transfer Learning

Author(s): A. Sheikhlar, K. R. Thórisson & L. Eberding (2020)
Publ.: Proc. 13th International Conference on Artificial General Intelligence, 306-316
https://alumni.media.mit.edu/~kris/ftp/AutonCumulTransfLearn-SheikhlarEtAl-AGI-2020.pdf

Cumulative Learning

Author(s): K. R. Thórisson, J. Bieger, X. Li & P. Wang (2019)
Publ.: Proc. 12th International Conference on Artificial General Intelligence (AGI-19), Shenzhen, China, Aug. 6-9, 198-209
https://alumni.media.mit.edu/~kris/ftp/CumulativeLearning-ThorissonEtAl-AGI-2019.pdf

Cumulative Learning With Causal-Relational Models

Author(s): K. R. Thórisson & A. Talbot (2018)
Publ.: Proc. 11th International Conference on Artificial General Intelligence (AGI-18), Prague, Czech Republic, Aug. 22-15, 227-238
https://alumni.media.mit.edu/~kris/ftp/AGI18__Cumulative_Learning_With_Causal_Relational_Models.pdf

Abduction, Deduction & Causal-Relational Models

Author(s): K. R. Thórisson & A. Talbot (2018)
Publ.: IJCAI-18 Workshop on Architectures for Generality, Autonomy & Progress in AI, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, Jul. 15
https://alumni.media.mit.edu/~kris/ftp/AEGAP18_Abduction_Deduction_Causal_Relational_Models.pdf

Growing Recursive Self-Improvers

Author(s): B. R. Steunebrink, K. R. Thórisson, J. Schmidhuber (2016)
Publ.: B. Steunebrink et al. (eds.), Proc. 9th International Conference on Artificial General Intelligence (AGI-16), July, New York City, 129-139
https://alumni.media.mit.edu/~kris/ftp/AGI16_growing_recursive_self-improvers.pdf

Evaluation of General-Purpose Artificial Intelligence: Why, What & How

Author(s): J. Bieger, K. R. Thórisson, B. R. Steunebrink, T. Thorarensen, J. S. Sigurdardóttir (2016)
Publ.: EGPAI 2016 - Evaluating General-Purpose A.I., Workshop held in conjuction with the European Conference on Artificial Intelligence, The Hague, The Netherlands, Tuesday 30th Aug. 2016.
https://alumni.media.mit.edu/~kris/ftp/EGPAI_2016_paper_9.pdf

Safe Baby AGI

Anytime Bounded Rationality

Author(s): E. Nivel, K. R. Thórisson, B. Steunebrink & J. Schmidhüber (2015)
Publ.: J. Bieger, B. Goertzel & A. Potapov (eds.), Proc. 8th International Conference on Artificial General Intelligence (AGI-15), July, Berlin, Germany, 121-130
https://alumni.media.mit.edu/~kris/ftp/AnytimeBoundedRationalityagi15_nivelEtAl.pdf

Bounded Seed-AGI

Author(s): Nivel, E., K. R. Thórisson, B. R. Steunebrink.,H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason & A. Chella (2014)
Publ.: B. Goerzel, L. Orseau & J. Snaider (eds.), Proc. Artificial General Intelligence (AGI-14), Aug., Quebec, Canada, 85-96
https://alumni.media.mit.edu/~kris/ftp/BoundedSeedAGI_agi14.pdf

Towards a General Attention Mechanism for Embedded Intelligence Systems

Author(s): Helgason, H. P., K. R. Thórisson, D. Garrett & E. Nivel (2014)
Publ.: International Publ.: of Computer Science and Artificial Intelligence, 4(1): 1-7
https://alumni.media.mit.edu/~kris/ftp/HelgasonEtAl-2014-Attention-IJCSAI10339-20140314-163624-3675-40677.pdf

Raising AGI: Tutoring Matters

Author(s): Bieger, J., K. R. Thórisson & D. Garrett (2014)
Publ.: B. Goerzel, L. Orseau & J. Snaider (eds), Proc. Artificial General Intelligence (AGI-14), Aug., Quebec, Canada, 1-10
https://alumni.media.mit.edu/~kris/ftp/BiegerEtAl-AGI2014-Raising_AI.pdf

Towards a Programming Paradigm for Control Systems With High Levels of Existential Autonomy

Author(s): Nivel, E. & K. R. Thórisson (2013)
Publ.: K-U Kühnberger, S. Rudolph & P. Wang (eds.), Proc. Artificial General Intelligence (AGI-13), Jul., Beijing, China, 78-87
https://alumni.media.mit.edu/~kris/ftp/nivel_thorisson_replicode_AGI13.pdf

Resource-Bounded Machines are Motivated to be Efficient, Effective, & Curious

Author(s): Steunebrink, B. R., J. Koutnik, K. R. Thórisson, E. Nivel & J. Schmidhuber (2013)
Publ.: K-U Kühnberger, S. Rudolph & P. Wang (ed.), Proc. Artificial General Intelligence (AGI-13), Jul., Beijing, China, 119-129
https://alumni.media.mit.edu/~kris/ftp/Resource-Bounded-Machines-SteunebrinkEtAl_AGI13.pdf

Predictive Generative Heuristics for Decision-Making in Real-World Environments

Author(s): Helgason, H. P., K. R. Thórisson, E. Nivel & P. Wang (2013)
Publ.: K-U Kühnberger, S. Rudolph & P. Wang (eds.), Proc. Artificial General Intelligence (AGI-13), Jul., Beijing, China, 50-59
https://alumni.media.mit.edu/~kris/ftp/Helgason%20et%20al-AGI2013.pdf

Attention Capabilities for AI Systems

Author(s): Helgason, H. P. & K. R. Thórisson (2012)
Publ.: Proc. 9th International Conference on Informatics in Control, Automation & Robotics, Rome, Italy, July
https://alumni.media.mit.edu/~kris/ftp/Helgason-Thorisson-AttentionForAI.pdf

Seed-Programmed Cognitive Development

Seed-Programmed Autonomous General Learning

Author(s): K. R. Thórisson (2020)
Publ.: Proc. Machine Learning Research, 131:32-70
https://alumni.media.mit.edu/~kris/select_publ.html

Growing Recursive Self-Improvers

Anytime Bounded Rationality

Safe Baby AGI

Bounded Seed-AGI

Approaches & Assumptions of Self-Programming in Achieving Artificial General Intelligence

Self-Programming: Operationalizing Autonomy

Understanding, Explanation & Reasoning

Explicit Goal-Driven Autonomous Self-Explanation Generation

Author(s): K. R. Thórisson, H. Rörbeck, J. Thompson & H. Latapie (2023)
Publ.: Proc. Artificial General Intelligence Conference, 286-295
https://alumni.media.mit.edu/~kris/ftp/Explicit_Goal-Driven_Autonomous_Self-Explanation_Generation-2023.pdf

The ‘Explanation Hypothesis’ in General Self-Supervised Learning

Author(s): K. R. Thórisson (2021)
Publ.: Proc. Machine Learning Research, 159:5-27 https://proceedings.mlr.press/v159/thorisson22b/thorisson22b.pdf

Evaluating Understanding

Author(s): J. Bieger, K. R. Thórisson (2017)
Publ.: IJCAI-17 Workshop on Evaluating General-Purpose Intelligence, International Joint Conference on Artificial Intelligence, August 20, Melbourne, Australia
https://alumni.media.mit.edu/~kris/ftp/IJCAI17-EGPAI-EvaluatingUnderstanding.pdf

About Understanding

Author(s): K. R. Thórisson, D. Kremelberg, B. R. Steunebrink, E. Nivel (2016)
Publ.: B. Steunebrink et al. (eds.), Proc. 9th International Conference on Artificial General Intelligence (AGI-16), July, New York City, 106-117
https://alumni.media.mit.edu/~kris/ftp/AGI16_understanding.pdf

Understanding and Common Sense: Two Sides of the Same Coin?

Author(s): K. R. Thórisson, D. Kremelberg Publ.: In International Conference on Artificial General Intelligence. Springer, Cham, 201-211 http://alumni.media.mit.edu/~kris/ftp/AGI17_Understanding&CommonSense.pdf

Self-Explaining Artificial Intelligence: On the Requirements for Autonomous Explanation Generation

Author(s): Hjörleifur Rörbeck (May 2022)
Publ.: M.Sc. Thesis, Department of Computer Science at Reykjavík University
http://cadia.ru.is/wiki/_media/public:publications:thesis_final_hr.pdf

Architecture & Intelligence

Causal Reasoning over Probabilistic Uncertainty

Author(s): L. M. Eberding & K. R. Thórisson (2023) Publ.: Proc. Artificial General Intelligence Conference, 74-84 http://alumni.media.mit.edu/~kris/ftp/Causal_reasoning_over_probabilistic_uncertainty_AGI-2023

Autocatalytic Endogenous Reflective Architecture

Author(s): Nivel, E., K. R. Thórisson, H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, B. Steunebrink, D. Ognibene, A. Chella, J. Schmidhuber, R. Sanz & H. P. Helgason (2013) Publ.: Reykjavik University School of Computer Science Technical Report, RUTR-SCS13002
https://alumni.media.mit.edu/~kris/ftp/AERA-RUTR-SCS13002.pdf

Bounded Recursive Self-Improvement

Author(s): Nivel, E., K. R. Thórisson, B. R. Steunebrink, H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason, A. Chella & G. K. Jonsson (2013)
Publ.: Reykjavik University School of Computer Science Technical Report, RUTR-SCS13006 / arXiv:1312.6764 [cs.AI]
http://arxiv.org/pdf/1312.6764v1

A New Constructivist AI: From Manual Construction to Self-Constructive Systems

Author(s): Thórisson, K. R. (2012)
Publ.: P. Wang and B. Goertzel (eds), Theoretical Foundations of Artificial General Intelligence. Atlantis Thinking Machines, 4:145-171
https://alumni.media.mit.edu/~kris/ftp/Thorisson_chapt9_TFofAGI_Wang_Goertzel_2012.pdf

Cognitive Architectures & Autonomy: A Comparative Review

Author(s): Thórisson, K. R. & H. P. Helgason (2012)
Publ.: Publ.: of Artificial General Intelligence, 3(2):1-30
https://alumni.media.mit.edu/~kris/ftp/AutonomyCogArchReview-ThorissonHelgason-JAGI-2012.pdf

On Attention Mechanisms for AGI Architectures: A Design Proposal

Author(s): Helgason, H. P., E. Nivel & K. R. Thórisson (2012)
Publ.: J. Bach, B. Goertzel & M. Ilké (eds.), Proceedings of Artificial General Intelligence (AGI-12), Dec. 8-11, Oxford U., 89-98
http://agi-conference.org/2012/wp-content/uploads/2012/12/paper_16.pdf

Learning Problem Solving Skills from Demonstration: An Architectural Approach

Author(s): H. Dindo, A. Chella, G. La Tona, M. Vitali, E. Nivel & K. R. Thórisson (2011)
Publ.: Proc. Artificial General Intelligence (AGI-11)
https://alumni.media.mit.edu/~kris/ftp/AGI2011-DINDOetAl.pdf

Achieving Artificial General Intelligence Through Peewee Granularity

Author(s): Thórisson, K. R. & Nivel, E. (2009)
Publ.: Proc. of the Second Conference on Artificial General Intelligence (AGI-09), 222-223. Arlington, VA, USA, March 6-9
https://alumni.media.mit.edu/~kris/ftp/PeeweeGranularity-Thorisson-Nivel-09.pdf

Integrated A.I. Systems

Author(s): Thórisson, K. R. (2007)
Publ.: Invited paper at The Dartmouth Artificial Intelligence Conference: The Next 50 Years — Commemorating the 1956 Founding of AI as a Research Discipline, July 13-15, 2006, Dartmouth, New Hampshire, U.S.A.
Minds & Machines, 17:11-25
https://link.springer.com/content/pdf/10.1007/s11023-007-9055-5.pdf

Evaluation & Demonstration

SAGE: Task-Environment Platform & For Evaluating a Broad Range of AI Learners

Author(s): L. Eberding, K. R. Thórisson, A. Sheikhlar & S. P. Andrason (2020)
Publ.: Proc. 13th International Conference on Artificial General Intelligence, 72-82
https://alumni.media.mit.edu/~kris/ftp/EGPAI_2016_paper_9.pdf

Evaluating Understanding

Evaluation of General-Purpose Artificial Intelligence: Why, What & How

Autonomous Acquisition of Situated Natural Communication

Author(s): K. R. Thórisson, E. Nivel, B. R. Steunebrink., H. P. Helgason, G. Peluzzo, R. Sanz, J. Schmidhuber, H. Dindo, M. Rodriguez, A. Chella, G. Jonsson, D. Ognibene & C. Hernandez (2014)
Publ.: International Publ.: of Computer Science & Information Systems, 9(2):115-131
https://alumni.media.mit.edu/~kris/ftp/IJCSIS-ThorissonEtAl2015-2014170208.pdf

Autonomous Acquisition of Natural Language

Author(s): E. Nivel, K. R. Thórisson, B. R. Steunebrink.,H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason, A. Chella & G. Jonsson (2014)
Publ.: A. P. dos Reis, P. Kommers & P. Isaías (eds.), Proc. IADIS International Conference on Intelligent Systems & Agents 2014 (ISA-14), Jul., Lisbon, Portugal, 58-66
Award: BEST PAPER AWARD
https://alumni.media.mit.edu/~kris/ftp/AAoNL-wHeadr.pdf