Abstract
In order to explore the practical manifestations of the “cognitive synergy” between the PLN (Probabilistic Logic Networks) and ECAN (Economic Attention Network) components of the OpenCog AGI architecture, we explore the behavior of PLN and ECAN operating together on two standard test problems commonly used with Markov Logic Networks (MLN). Our preliminary results suggest that, while PLN can address these problems adequately, ECAN offers little added value for the problems in their standard form. However, we outline modified versions of the problem that we hypothesize would demonstrate the value of ECAN more effectively, via inclusion of confounding information that needs to be heuristically sifted through.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Project tuffy, http://hazy.cs.wisc.edu/hazy/tuffy/doc/
Goertzel, B.: Opencogprime: A cognitive synergy based architecture for artificial general intelligence. In: 8th IEEE International Conference on Cognitive Informatics, ICCI 2009, pp. 60–68. IEEE (2009)
Goertzel, B., Bugaj, S.V.: Agi preschool: A framework for evaluating early-stage human-like agis. In: Proceedings of the Second International Conference on Artificial General Intelligence (AGI 2009), pp. 31–36 (2009)
Goertzel, B., Pennachin, C., Geisweiller, N.: Engineering General Intelligence, Part 1. Atlantis Press (2014)
McCallum, A., Nigam, K., Rennie, J., Seymore, K.: Automating the construction of internet portals with machine learning. Information Retrieval 3(2), 127–163 (2000)
Niu, F., Ré, C., Doan, A., Shavlik, J.: Tuffy: Scaling up statistical inference in markov logic networks using an rdbms. Proceedings of the VLDB Endowment 4(6), 373–384 (2011)
Richardson, M., Domingos, P.: Markov logic networks. Machine Learning 62(1-2), 107–136 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Harrigan, C., Goertzel, B., Iklé, M., Belayneh, A., Yu, G. (2014). Guiding Probabilistic Logical Inference with Nonlinear Dynamical Attention Allocation. In: Goertzel, B., Orseau, L., Snaider, J. (eds) Artificial General Intelligence. AGI 2014. Lecture Notes in Computer Science(), vol 8598. Springer, Cham. https://doi.org/10.1007/978-3-319-09274-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-09274-4_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09273-7
Online ISBN: 978-3-319-09274-4
eBook Packages: Computer ScienceComputer Science (R0)