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ORCIDStan Franklin
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- affiliation: University of Memphis, Department of Computer Science
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Journal Articles
- 2023
[j31]Alexander Hölken
, Sean Kugele, Albert Newen, Stan Franklin:
Modeling interactions between the embodied and the narrative self: Dynamics of the self-pattern within LIDA. Cogn. Syst. Res. 81: 25-36 (2023)- 2021
- [j30]Sean Kugele, Stan Franklin:
Learning in LIDA. Cogn. Syst. Res. 66: 176-200 (2021) - [j29]Zachariah A. Neemeh, Christian Kronsted, Sean Kugele, Stan Franklin:
Body Schema in Autonomous Agents. J. Artif. Intell. Conscious. 8(1): 113-145 (2021) - [j28]Christian Kronsted, Zachariah A. Neemeh, Sean Kugele, Stan Franklin:
Modeling Long-Term Intentions and Narratives in Autonomous Agents. J. Artif. Intell. Conscious. 8(2): 229-265 (2021) - 2020
- [j27]Kevin Ryan, Pulin Agrawal, Stan Franklin:
The pattern theory of self in artificial general intelligence: A theoretical framework for modeling self in biologically inspired cognitive architectures. Cogn. Syst. Res. 62: 44-56 (2020) - [j26]Ryan James McCall, Stan Franklin, Usef Faghihi, Javier Snaider, Sean Kugele:
Artificial Motivation for Cognitive Software Agents. J. Artif. Gen. Intell. 11(1): 38-69 (2020) - 2018
- [j25]Tamas Madl, Stan Franklin, Ke Chen, Robert Trappl:
A computational cognitive framework of spatial memory in brains and robots. Cogn. Syst. Res. 47: 147-172 (2018) - 2015
- [j24]Daqi Dong, Stan Franklin:
A New Action Execution Module for the Learning Intelligent Distribution Agent (LIDA): The Sensory Motor System. Cogn. Comput. 7(5): 552-568 (2015) - 2014
- [j23]Javier Snaider, Stan Franklin:
Modular Composite Representation. Cogn. Comput. 6(3): 510-527 (2014) - [j22]Daqi Dong, Stan Franklin:
The Action Execution Process Implemented in Different Cognitive Architectures: A Review. J. Artif. Gen. Intell. 5(1): 49-68 (2014) - [j21]Stan Franklin, Tamas Madl, Sidney K. D'Mello, Javier Snaider:
LIDA: A Systems-level Architecture for Cognition, Emotion, and Learning. IEEE Trans. Auton. Ment. Dev. 6(1): 19-41 (2014) - 2013
- [j20]Stan Franklin, Steve Strain, Ryan James McCall, Bernard J. Baars:
Conceptual Commitments of the LIDA Model of Cognition. J. Artif. Gen. Intell. 4(2): 1-22 (2013) - [j19]Javier Snaider, Stan Franklin, Steve Strain, E. Olusegun George:
Integer sparse distributed memory: Analysis and results. Neural Networks 46: 144-153 (2013) - 2012
- [j18]Javier Snaider, Stan Franklin:
Extended Sparse Distributed Memory and Sequence Storage. Cogn. Comput. 4(2): 172-180 (2012) - [j17]Javier Snaider, Ryan James McCall, Stan Franklin:
Time production and representation in a conceptual and computational cognitive model. Cogn. Syst. Res. 13(1): 59-71 (2012) - 2010
- [j16]Wendell Wallach, Stan Franklin, Colin Allen:
A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents. Top. Cogn. Sci. 2(3): 454-485 (2010) - 2007
- [j15]Stan Franklin:
Walter J. Freeman, How Brains Make Up their Minds - Columbia University Press, New York, 2001, 180 pp, $28.95, ISBN 0-297-84257-9. Minds Mach. 17(3): 353-356 (2007) - [j14]Bernard J. Baars, Stan Franklin:
An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA. Neural Networks 20(9): 955-961 (2007) - 2005
- [j13]Arpad Kelemen, Stan Franklin, Yulan Liang:
Constraint Satisfaction In "Conscious" Software Agents--A Practical Application. Appl. Artif. Intell. 19(5): 491-514 (2005) - 2003
- [j12]Ashraf Anwar, Stan Franklin:
Sparse distributed memory for 'conscious' software agents. Cogn. Syst. Res. 4(4): 339-354 (2003) - 2002
- [j11]Lee McCauley, Stan Franklin:
A large-scale multi-agent system for navy personnel distribution. Connect. Sci. 14(4): 371-385 (2002) - 2000
- [j10]Stan Franklin:
Building Life-like 'Conscious' Software Agents. AI Commun. 13(3): 183-194 (2000) - [j9]Hongjun Song, Stan Franklin:
A behaviour instantiation agent architecture. Connect. Sci. 12(1): 21-44 (2000) - 1999
- [j8]Stan Franklin:
Robert G. Burton, ed., Natural and Artificial Minds, SUNY Series, Scientific Studies in Natural and Artificial Intelligence, Albany: State University of New York Press, 1993, vii + 245 pp., $21.95 (paper), ISBN 0-7914-1508-2. Minds Mach. 9(1): 143-156 (1999) - 1997
- [j7]Stan Franklin:
Autonomous Agents as Embodied Ai. Cybern. Syst. 28(6): 499-520 (1997) - 1992
- [j6]Max H. Garzon, Stanley P. Franklin, William Baggett, William S. Boyd Jr., Dinah Dickerson:
Design and Testing of a General-Purse Neurocomputer. J. Parallel Distributed Comput. 14(3): 203-220 (1992) - [j5]Stanley P. Franklin, Max H. Garzon:
On stability and solvability (or, when does a neural network solve a problem?). Minds Mach. 2(1): 71-83 (1992) - 1991
- [j4]Stan Franklin, Max H. Garzon, David E. Goldberg, Bradley Korb, Kalyanmoy Deb, Francesca Aicardi, Andrzej Lech Kawczynski, Wentian Li, Norman H. Packard, David Saad, Emanuel Marom:
Complex Systems: Errata and Changes Volumes 3 and 4. Complex Syst. 5(1) (1991) - 1990
- [j3]Max H. Garzon, Stan Franklin:
Global Dynamics in Neural Networks II. Complex Syst. 4(5) (1990) - 1989
- [j2]Stan Franklin, Max H. Garzon:
Global Dynamics in Neural Networks. Complex Syst. 3(1) (1989) - 1986
- [j1]Yechezkel Zalcstein, Stanley P. Franklin:
Testing homotopy equivalence is isomorphism complete. Discret. Appl. Math. 13(1): 101-104 (1986)
Conference and Workshop Papers
- 2020
- [c33]Sean Kugele, Stan Franklin:
"Conscious" Multi-Modal Perceptual Learning for Grounded Simulation-Based Cognition. CogSci 2020 - 2015
- [c32]Daqi Dong, Stan Franklin, Pulin Agrawal:
Estimating Human Movements Using Memory of Errors. BICA 2015: 1-10 - 2014
- [c31]Javier Snaider, Stan Franklin:
Vector LIDA. BICA 2014: 188-203 - [c30]Steve Strain, Sean Kugele, Stan Franklin:
The learning intelligent distribution agent (LIDA) and medical agent X (MAX): Computational intelligence for medical diagnosis. CIHLI 2014: 78-85 - [c29]Daqi Dong, Stan Franklin:
Sensory Motor System: Modeling the Process of Action Execution. CogSci 2014 - 2012
- [c28]Javier Snaider, Stan Franklin:
Integer Sparse Distributed Memory. FLAIRS 2012 - 2011
- [c27]Javier Snaider, Ryan James McCall, Stan Franklin:
The LIDA Framework as a General Tool for AGI. AGI 2011: 133-142 - [c26]Javier Snaider, Stan Franklin:
Extended Sparse Distributed Memory. BICA 2011: 351-357 - 2010
- [c25]Javier Snaider, Ryan James McCall, Stan Franklin:
The Immediate Present Train Model Time Production and Representation for Cognitive Agents. AAAI Spring Symposium: It's All in the Timing 2010 - [c24]Ryan James McCall, Stan Franklin, David Friedlander:
Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc.. FLAIRS 2010 - [c23]D. Mitchell Wilkes, Stan Franklin, Erdem Erdemir, Stephen M. Gordon, Steve Strain, Karen Miller, Kazuhiko Kawamura:
Heterogeneous artificial agents for triage nurse assistance. Humanoids 2010: 130-137 - 2009
- [c22]Javier Snaider, Ryan James McCall, Stan Franklin:
Time Production and Representation in a Conceptual and Computational Cognitive Model. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2009 - 2008
- [c21]David Friedlander, Stan Franklin:
LIDA and a Theory of Mind. AGI 2008: 137-148 - 2007
- [c20]Sidney K. D'Mello, Stan Franklin:
Exploring the Complex Interplay between AI and Consciousness. AAAI Fall Symposium: AI and Consciousness 2007: 49-54 - [c19]Stan Franklin, Uma Ramamurthy, Sidney K. D'Mello, Lee McCauley, Aregahegn Negatu, Rodrigo Silva L., Vivek V. Datla:
LIDA: A Computational Model of Global Workspace Theory and Developmental Learning. AAAI Fall Symposium: AI and Consciousness 2007: 61-66 - 2006
- [c18]Sidney K. D'Mello, Stan Franklin, Uma Ramamurthy, Bernard J. Baars:
A Cognitive Science Based Machine Learning Architecture. AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems 2006: 40-45 - [c17]Stan Franklin, Ben Goertzel, Alexei V. Samsonovich, Pei Wang:
Four Contemporary AGI Designs: a Comparative Treatment. AGI 2006: 25-35 - [c16]Stan Franklin:
A Foundational Architecture for Artificial General Intelligence. AGI 2006: 36-54 - [c15]Stan Franklin, Hugo de Garis, Sam S. Adams, Eric B. Baum, Pei Wang, Steve Grand, Ben Goertzel, Phil Goetz:
Panel Discussion: What are the bottlenecks, and how soon to AGI? AGI 2006: 283-293 - [c14]Aregahegn Negatu, Sidney K. D'Mello, Stan Franklin:
Cognitively Inspired Anticipatory Adaptation and Associated Learning Mechanisms for Autonomous Agents. SAB ABiALS 2006: 108-127 - 2005
- [c13]Stan Franklin:
Cognitive robots: perceptual associative memory and learning. RO-MAN 2005: 427-433 - 2004
- [c12]Stan Franklin, Dan Jones:
A Triage Information Agent (TIA) based on the IDA Technology. AAAI Technical Report (4) 2004: 18-23 - [c11]Uma Ramamurthy, Sidney K. D'Mello, Stan Franklin:
Modified sparse distributed memory as transient episodic memory for cognitive software agents. SMC (6) 2004: 5858-5863 - 2000
- [c10]Ravikumar Kondadadi, Dipankar Dasgupta, Stan Franklin:
An Evolutionary Approach for Job Assignment. IS 2000: 139-142 - 1999
- [c9]Fergus Nolan, Jarek Wilkiewicz, Dipankar Dasgupta, Stan Franklin:
Evolutionary Economic Agents. AAAI/IAAI 1999: 38-43 - [c8]Ashraf Anwar, Dipankar Dasgupta, Stan Franklin:
Using genetic algorithms for sparse distributed memory initialization. CEC 1999: 1043-1050 - [c7]Lee McCauley, Stan Franklin, Myles Bogner:
An Emotion-Based "Conscious" Software Agent Architecture. IWAI 1999: 107-120 - 1998
- [c6]Zhaohua Zhang, Stan Franklin, Dipankar Dasgupta:
Metacognition in Software Agents Using Classifier Systems. AAAI/IAAI 1998: 83-88 - [c5]Arthur C. Graesser, Stan Franklin, Peter M. Wiemer-Hastings:
Simulating Smooth Tutorial Dialogue with Pedagogical Value. FLAIRS 1998: 163-167 - [c4]Stan Franklin, Arpad Kelemen, Lee McCauley:
IDA: a cognitive agent architecture. SMC 1998: 2646-2651 - 1997
- [c3]Lijia Zhou, Stan Franklin:
Modeling an Environment: Agents in Character Feature Extraction. Agents 1997: 178-184 - 1996
- [c2]Stan Franklin, Arthur C. Graesser:
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents. ATAL 1996: 21-35 - 1983
- [c1]Carter Bays, Stephen Mitchell, Stanley P. Franklin, Ed Dubinsky, Richard H. Austing, William Mitchell:
Retraining of college faculty for computer science (Panel Session). SIGCSE 1983: 125-126
Parts in Books or Collections
- 2015
- [p2]Tamas Madl, Stan Franklin:
Constrained Incrementalist Moral Decision Making for a Biologically Inspired Cognitive Architecture. A Construction Manual for Robots' Ethical Systems 2015: 137-153 - 2008
- [p1]Stan Franklin, Michael H. Ferkin:
Using Broad Cognitive Models to Apply Computational Intelligence to Animal Cognition. Applications of Computational Intelligence in Biology 2008: 363-394
Editorship
- 2008
- [e1]Pei Wang, Ben Goertzel, Stan Franklin:
Artificial General Intelligence 2008, Proceedings of the First AGI Conference, AGI 2008, March 1-3, 2008, University of Memphis, Memphis, TN, USA. Frontiers in Artificial Intelligence and Applications 171, IOS Press 2008, ISBN 978-1-58603-833-5 [contents]
Coauthor Index
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