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On Mathematical Proving

Halpin and Alexandre Monnin. Volume 43, Issue 4, pp. 480–498. Reprinted in: Harry Halpin and Alexandre Monnin (Eds) Philosophical Engineering: Toward a Philosophy of the Web . Wiley-Blackwell, 2014, pp. 149-167. Stefaneas, Petros and Vandoulakis, Ioannis. 2014. Proofs as spatio-temporal processes”, Pierre Edouard Bour, Gerhard Heinzmann, Wilfrid Hodges and Peter Schroeder-Heister (Eds) “Selected Contributed Papers from the 14 th International Congress of Logic, Methodology and Philosophy of Science”, Philosophia Scientiæ , 18 (3), pp. 111-125. Stefaneas

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The AGINAO Self-Programming Engine

. Goertzel, B. (2007). Virtual Easter Egg Hunting. Proceedings of the AGI Workshop 2006. IOS Press. p. 217. Goertzel, B. (2011). Itamar Arel on the Path to Artificial General Intelligence. Available electronically at http://hplusmagazine.com/2011/02/04/itamar-arel-on-the-path-to-artificialgeneral- intelligence Hawkins, J.; and George, D. (2006). Hierarchical temporal memory: concepts, theory, and terminology. Available electronically at http://www.numenta.com/htmoverview/ education

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Model-based Utility Functions

. (eds), Adaptive Processing of Temporal Information. LNCS, vol. 1387, pp. 168-197. Springer, Heidelberg. Gisslén, L., Luciw, M., Graziano, V., and Schmidhuber, J. 2011. Sequential constant size compressors for reinforcement learning. In: Schmidhuber, J., Thórisson, K. R., and Looks, M. (eds) AGI 2011. LNCS (LNAI), vol. 6830, pp. 31-40. Springer, Heidelberg. Goertzel, B. 2004. Universal ethics: the foundations of compassion in pattern dynamics. http

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Declarative Consciousness for Reconstruction

Temporal Memory, Technical Report, Version 0.2.1, Numenta, Inc. IPTO, D. 2003. LifeLog Proposer Information Pamphlet. Solicitation Number: BAA03-30 DARPA IPTO. Gallant, J.; et.al;. 2013. Attention During Natural Vision Warps Semantic Representation Across the Human Brain, Nature Neuroscience, 76. 763-770 Carmena, H.; and Maharbiz, M. 2013a. Brain Control of Prosthetic Devices: The Road Ahead. In Proceedings of The Global Futures 2045 International Congress, GF2045, 25 - 32. New York. 2045 Strategic Social Initiative

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Towards General Evaluation of Intelligent Systems: Lessons Learned from Reproducing AIQ Test Results

General Intelligence 1(1):54-61. Hothorn, T.; Hornik, K.; and Zeileis, A. 2006. Unbiased Recursive Partitioning: A Conditional Inference Framework. Journal of Computational and Graphical Statistics 3(15):651-674. Hutter, M., and Legg, S. 2007. Temporal Difference Updating without a Learning Rate. In Platt, J. C.; Koller, D.; Singer, Y.; and Roweis, S. T., eds., Advances in Neural Information Processing Systems 20, 705-712. Curran Associates, Inc. Insa-Cabrera, J.; Dowe, D. L.; Espa˜na-Cubillo, S.; Hernández-Lloreda, M. V

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Black-box Brain Experiments, Causal Mathematical Logic, and the Thermodynamics of Intelligence

References Berut, A.; Arakelyan, A.; and et al., A. P. 2012. Experimental Verification of Landauer’s Principle linking Information and Thermodynamics. Nature 483:187-189. Abstract: http://www.nature.com/nature/journal/v483/n7388/full/nature10872.html. Chen, W.; Li, X.; Pu, J.; and Luo, Q. 2010. Spatial-temporal dynamics of chaotic behavior in cultured hippocampal networks. Physical Review E 81(061903). Cuntz, H.; Mathy, A.; and H¨ausser, M. June 2012. A scaling law derived from optimal dendritic wiring. PNAS

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Conceptual Commitments of the LIDA Model of Cognition

., & Schutter, G. (2004). Extending the global workspace theory to emotion: Phenomenality without access. Consciousness and Cognition, 13 (3), 539-549. Designing Intelligent Robots: Reintegrating AI II. (2012). AAAI Spring Symposium 2013 Retrieved December 21, 2012, from http://people.csail.mit.edu/gdk/dir2/index.html Dijkstra, T. M. H., Schöner, G., & Gielen, C. C. A. M. (1994). Temporal stability of the actionperception cycle for postural control in a moving visual environment. Experimental Brain Research, 97 (3), 477

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Artificial General Intelligence: Concept, State of the Art, and Future Prospects

brain sciences 3(03):417-424. Seth Baum, B. G., and Goertzel, T. 2011. Technological Forecasting and Social Change. Technological Forecasting and Social Change. Shapiro, S. C.; Rapaport,W. J.; Kandefer, M.; Johnson, F. L.; and Goldfain, A. 2007. Metacognition in SNePS. AI Magazine 28(1):17. Shastri, L., and Ajjanagadde, V. 1993. From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony. Behavioral and brain sciences 16

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Choosing the Right Path: Image Schema Theory as a Foundation for Concept Invention

about spatial concepts? Evidence from the use of containment expressions. Cognitive science 38(5):881–910. Johnson, M. 1987. The Body in the Mind. The Bodily Basis of Meaning, Imagination, and Reasoning . The University of Chicago Press. Kamp, H. 1979. Instants, events and temporal discourse. In Bäuerle, R.; Schwarze, C.; and von Stechow, A., eds., Semantics from Different Points of View . Springer, Berlin. 376–417. Knauff, M.; Rauh, R.; and Renz, J. 1997. A cognitive assessment of topological spatial relations: Results from an empirical

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On Defining Artificial Intelligence

(3):351–361. Turing, A. M. 1950. Computing machinery and intelligence. Mind LIX:433–460. Tversky, A., and Kahneman, D. 1974. Judgment under uncertainty: heuristics and biases. Science 185:1124–1131. von Neumann, J. 1958. The Computer and the Brain . New Haven, CT: Yale University Press. Wang, P., and Goertzel, B. 2007. Introduction: Aspects of artificial general intelligence. In Goertzel, B., and Wang, P., eds., Advance of Artificial General Intelligence . Amsterdam: IOS Press. 1–16. Wang, P., and Hammer, P. 2015. Issues in Temporal and Causal

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