Experience summary

Haskell

2008.

2012.
Refereed Articles

B. Goertzel, J. Pitt, M. Iklé, C. Pennachin, L. Rui, “Glocal memory: a critical design

principle for artificial brains and minds”, Neurocomputing, doi:10.1016/j.neucom.2009.10.033

G. Bachman, B. Goertzel, M. Iklé, “A convergence theorem for the simple GA with

population size tending to infinity”, IEEE Conference on Evolutionary Computation,

1995.

Fragmentation Model”, Letters in Mathematical Physics, Vol. 34, No. 1 (1995)

B. Goertzel, M. Ananda, M. Iklé, “On the Dynamics of Genetic Algorithms (and Other

Evolving Systems)”, Complex Systems: Mechanisms of Adaptation, Ed. Stonier and

Lin, Amsterdam: IOS Press (1994) and Complexity International, Vol.2 (1995)

M. Iklé, “Exact (1+1)-dimensional Solutions for a Discrete Velocity Model for

Coagulation-Fragmentation”, M³AS: Mathematical Models and Methods in Applied Sciences, Vol.4, No. 6 (1994)
Refereed Conference Proceedings
Ben Goertzel, Misgana Bayetta Belachew, Matthew Ikle, Gino Yu, “Controlling Combinatorial Explosion in Inference via Synergy with Nonlinear-Dynamical Attention Allocation,” Proceedings of 2016 Artificial General Intelligence (AGI) Conference, New York City, Germany: Springer, 2016.

Ben Goertzel, Nil Geisweiller, Eddie Monroe, Mike Duncan, Selamawit Yilma, Meseret Dastaw, Misgana Bayetta, Amen Belayneh, Matthew Ikle’, Gino Yu, “Speculative Scientific Inference via Synergetic Combination of Probabilistic Logic and Evolutionary Pattern Recognition,” Proceedings of 2015 Artificial General Intelligence (AGI) Conference, Berlin, Germany: Springer, 2015.

Cosmo Harrigan, Ben Goertzel, Matthew Iklé, Amen Belayneh, and Gino Yu, “Guiding

Probabilistic Logical Inference with Nonlinear Dynamical Attention Allocation,” Proceedings of 2014 Artificial General Intelligence (AGI) Conference, Quebec City, Canada: Springer, 2014.

M. Iklé, “Probabilistic Logic Networks in a Nutshell,” Proceedings of Scalable

Uncertainty Management 2011, Dayton, OH: Springer, 2011.

M. Iklé, “Nonlinear-Dynamical Attention Allocation via Information Geometry,”

View, CA: Springer, 2011.

B. Goertzel, M. Iklé, “Three Hypotheses About the Geometry of Mind,” Proceedings of

2011 AGI Conference, Mountain View, CA: Springer, 2011.

M. Iklé, B. Goertzel, “Probabilistic Logic for General Intelligence,” in preparation.

M. Iklé, B. Goertzel, “Grounding Possible Worlds Semantics in Experiential Semantics,”

Proceedings of 2010 AGI conference, Lugano, Switzerland: Atlantis Press, 2010.

M. Ikle’, J. Pitt, B. Goertzel, G. Sellman, “Economic Attention Networks: Associative

Memory and Resource Allocation for General Intelligence,” Proceedings of 2009

AGI conference, Arlington, VA: Atlantis Press, 2009.

M. Iklé, B. Goertzel, “Probabilistic Quantifier Logic for General Intelligence: An

Indefinite Probabilities Approach,” Proceedings of 2008 AGI conference, Memphis,

TN: IOS Press, 2008.

B. Goertzel, M. Iklé, “Assessing the Weight of Evidence Implicit in an Indefinite

Probability”, 2^nd International Symposium on Intelligence Computation and

Applications, China University of Geosciences, Wuhan 2008.

B. Goertzel, A. Heljakka,W. Silva, C. Pennachin, A. Senna, I. Goertzel, T. Keinonen, M.

Iklé S. Padmanex “Probabilistic Logic Based Reinforcement Learning of Simple

Embodied Behaviors in a 3D Simulation World”, 2^nd International Symposium on

Intelligence Computation and Applications, China University of Geosciences, Wuhan

2008.

B. Goertzel, C. Pennachin, N. Geisweiler, Building Better Minds, pp. 237-246, in

preparation

B. Goertzel, C. Pennachin, M. Iklé, and Takuo Henmi, Chapter 30 of Novamente: Design

B. Goertzel, C. Pennachin, and M. Iklé, Chapter 31 of Novamente: Design for an

B. Goertzel, P. Wang, C. Pennachin, S. Bugaj, C. Hartley, J. Pressing, A. Kolonin, L. de

Souza Coelho, M. Iklé, L, Trigg, K. Verspoor, Digital Intuition: A Conceptual

Overview of the Webmind AI Engine
Additional Publications
Co-editor with B. Goertzel, Special Issue: Mind Uploading, International Journal of Machine Consciousness, June 2012
PROFESSIONAL ACTIVITIES:
Invited Lectures and Service
Discussant for Research Trends in Probabilistic Logic Networks, Scalable Uncertainty

Management 2011, Wright State University, Dayton, OH, 2011

Google Summer of Code Mentor for OpenCog, 2009, 2014, 2015

Indefinite Probabilities and Their Role in General Intelligence, AGIRI Workshop 2006,

Theme: Transitioning from Narrow AI to Artificial General Intelligence, Bethesda

Facilitator: Center for Excellence in Learning and Teaching (CELT) workshop, Taos,

NM, 2003

Monte-Carlo and Quasi-Monte-Carlo Methods for Differential Equations, Monte-Carlo

and Quasi-Monte-Carlo Methods in Scientific Computing, University of Nevada, Las

Vegas, 1994
Additional Presentations
Nonlinear-Dynamical Attention Allocation via Information Geometry, 2011 AGI Conference, Googleplex, Mountain View, CA

Three Hypotheses About the Geometry of Mind, 2011 AGI Conference, Googleplex, Mountain View, CA

Grounding Possible Worlds Semantics in Experiential Semantics, 2010 AGI Conference, Università della Svizzera Italiana, Lugano, Switzerland

Economic Attention Networks: Associative Memory and Resource Allocation for General

Intelligence, 2009 AGI conference, Arlington, VA

Indefinite Probabilities with Fuzzy Quantifiers, 2008 AGI conference, University of

Memphis FedEx Institute of Technology

Alamos National Laboratories, 2005

AMS-MAA Meeting, San Antonio, 1993

AMS-MAA Meeting, Cincinnati, 1994

Intelligence and Social and Emotional Robotics, 2015-2018, $501,159, (PI: Matthew Ikle)

Involving four students annually in research utilizing NAO and RoboKind humanoid robots and powerful “personal supercomputers.” The internships encompass research into numerous AI technologies and their integration with robotics, including robot vision, object classification, social and emotional robotics, reasoning under uncertainty, and attention and resource allocation.

NSF TUES: Coalition for Undergraduate Computational Science & Engineering

Education Proof of Concept grant, joint proposal between Embry-Riddle

Aeronautical University and Adams State University, $199,044 total award, $31,000 sub-award to ASU (PI: Hong Liu)

Army High Performance Computing Research Center Infrastructure Grant, Adams State

University, 2010-11, $113,360.73, (PI: Matthew Ikle)

Installed, characterized, administered, developed programming for, and experimented with high-performance computing infrastructure. Grant provided three personal supercomputers, advanced robotics, visualization and numerical hardware, software, and support equipment. Updated course curricula to engage students in parallel computing optimization techniques throughout all stages of the computer science curriculum

Teaching Improvement Grant, Title V, Adams State University, 2002-04

Webmind, Inc., 1999-2000

Created models and computer simulations of Webmind dynamics

University of Nevada-Las Vegas, 1993-94

Created models and computer simulations of coagulation-fragmentation gas

dynamics
Professional Service
Organizing committee, AGI 2016, New York City

Program committee, AGI 2016, New York City

Program committee, AGI 2015, Berlin

Program committee, IEEE International Conference on Robotics and Automation 2014 Workshop:

General Intelligence for Humanoid Robots, Hong Kong

Program committee, AGI-2014, Quebec City, Canada

Workshop co-organizer, Probability or Not? Practical and Theoretical  Concerns on

Uncertainty Handling in AGI, AGI-2013, Beijing, China

Program committee, AGI-2013, Beijing, China

Organizing committee, Special Session on General Intelligence in Embodied Agents,

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence,

Singapore, 2013

Program committee co-chair, Rocky Mountain Section MAA spring meeting, Alamosa,

CO, 2013

Program committee, AGI-2011, Mountain View, CA

Program committee, ICAI 2010, Beijing, China

Lead code developer of ECAN: The Open Cognition Project, 2008-

AGI-09 Planning Committee

AGI-08 Workshop Program Committee

1993