Retraining of college faculty for computer science (Panel Session). - Carter Bays; Stephen Mitchell; Stanley P. Franklin; Ed Dubinsky; Richard H. Austing; William Mitchell 001 (SIGCSE, 1983)

Testing homotopy equivalence is isomorphism complete. - Yechezkel Zalcstein; Stanley P. Franklin (Discret. Appl. Math., 1986)

Global Dynamics in Neural Networks. - Stan Franklin; Max H. Garzon (Complex Syst., 1989)

Global Dynamics in Neural Networks II. - Max H. Garzon; Stan Franklin (Complex Syst., 1990)

Complex Systems: Errata and Changes Volumes 3 and 4. - 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 Syst., 1991)

Design and Testing of a General-Purse Neurocomputer. - Max H. Garzon; Stanley P. Franklin; William Baggett; William S. Boyd Jr.; Dinah Dickerson (J. Parallel Distributed Comput., 1992)

On stability and solvability (or, when does a neural network solve a problem?). - Stanley P. Franklin; Max H. Garzon (Minds Mach., 1992)

Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents. - Stan Franklin; Arthur C. Graesser (ATAL, 1996)

Modeling an Environment: Agents in Character Feature Extraction. - Lijia Zhou; Stan Franklin (Agents, 1997)

Autonomous Agents as Embodied Ai. - Stan Franklin (Cybern. Syst., 1997)

Metacognition in Software Agents Using Classifier Systems. - Zhaohua Zhang; Stan Franklin; Dipankar Dasgupta (AAAI/IAAI, 1998)

Simulating Smooth Tutorial Dialogue with Pedagogical Value. - Arthur C. Graesser; Stan Franklin; Peter M. Wiemer-Hastings (FLAIRS, 1998)

IDA: a cognitive agent architecture. - Stan Franklin; Arpad Kelemen; Lee McCauley (SMC, 1998)

Evolutionary Economic Agents. - Fergus Nolan; Jarek Wilkiewicz; Dipankar Dasgupta; Stan Franklin (AAAI/IAAI, 1999)

Using genetic algorithms for sparse distributed memory initialization. - Ashraf Anwar; Dipankar Dasgupta; Stan Franklin (CEC, 1999)

An Emotion-Based "Conscious" Software Agent Architecture. - Lee McCauley; Stan Franklin; Myles Bogner (IWAI, 1999)

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. - Stan Franklin (Minds Mach., 1999)

An Evolutionary Approach for Job Assignment. - Ravikumar Kondadadi; Dipankar Dasgupta; Stan Franklin (IS, 2000)

Building Life-like 'Conscious' Software Agents. - Stan Franklin (AI Commun., 2000)

A behaviour instantiation agent architecture. - Hongjun Song; Stan Franklin (Connect. Sci., 2000)

A large-scale multi-agent system for navy personnel distribution. - Lee McCauley; Stan Franklin (Connect. Sci., 2002)

Sparse distributed memory for 'conscious' software agents. - Ashraf Anwar; Stan Franklin (Cogn. Syst. Res., 2003)

A Triage Information Agent (TIA) based on the IDA Technology. - Stan Franklin; Dan Jones (AAAI Technical Report (4), 2004)

Modified sparse distributed memory as transient episodic memory for cognitive software agents. - Uma Ramamurthy; Sidney K. D'Mello; Stan Franklin (SMC (6), 2004)

Cognitive robots: perceptual associative memory and learning. - Stan Franklin (RO-MAN, 2005)

Constraint Satisfaction In "Conscious" Software Agents–A Practical Application. - Arpad Kelemen; Stan Franklin; Yulan Liang (Appl. Artif. Intell., 2005)

A Cognitive Science Based Machine Learning Architecture. - Sidney K. D'Mello; Stan Franklin; Uma Ramamurthy; Bernard J. Baars (AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems, 2006)

A Foundational Architecture for Artificial General Intelligence. - Stan Franklin (AGI, 2006)

Panel Discussion: What are the bottlenecks, and how soon to AGI? - Stan Franklin; Hugo de Garis; Sam S. Adams; Eric B. Baum; Pei Wang 002; Steve Grand; Ben Goertzel; Phil Goetz (AGI, 2006)

Four Contemporary AGI Designs: a Comparative Treatment. - Stan Franklin; Ben Goertzel; Alexei V. Samsonovich; Pei Wang 002 (AGI, 2006)

Cognitively Inspired Anticipatory Adaptation and Associated Learning Mechanisms for Autonomous Agents. - Aregahegn Negatu; Sidney K. D'Mello; Stan Franklin (SAB ABiALS, 2006)

Exploring the Complex Interplay between AI and Consciousness. - Sidney K. D'Mello; Stan Franklin (AAAI Fall Symposium: AI and Consciousness, 2007)

LIDA: A Computational Model of Global Workspace Theory and Developmental Learning. - Stan Franklin; Uma Ramamurthy; Sidney K. D'Mello; Lee McCauley; Aregahegn Negatu; Rodrigo Silva L.; Vivek V. Datla (AAAI Fall Symposium: AI and Consciousness, 2007)

Walter J. Freeman, How Brains Make Up their Minds - Columbia University Press, New York, 2001, 180 pp, $28.95, ISBN 0-297-84257-9. - Stan Franklin (Minds Mach., 2007)

An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA. - Bernard J. Baars; Stan Franklin (Neural Networks, 2007)

LIDA and a Theory of Mind. - David Friedlander; Stan Franklin (AGI, 2008)

Using Broad Cognitive Models to Apply Computational Intelligence to Animal Cognition. - Stan Franklin; Michael H. Ferkin (Applications of Computational Intelligence in Biology, 2008)

The Immediate Present Train Model Time Production and Representation for Cognitive Agents. - Javier Snaider; Ryan James McCall; Stan Franklin (AAAI Spring Symposium: It's All in the Timing, 2010)

Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc.. - Ryan James McCall; Stan Franklin; David Friedlander (FLAIRS, 2010)

Heterogeneous artificial agents for triage nurse assistance. - D. Mitchell Wilkes; Stan Franklin; Erdem Erdemir; Stephen M. Gordon; Steve Strain; Karen Miller; Kazuhiko Kawamura (Humanoids, 2010)

A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents. - Wendell Wallach; Stan Franklin; Colin Allen (Top. Cogn. Sci., 2010)

The LIDA Framework as a General Tool for AGI. - Javier Snaider; Ryan James McCall; Stan Franklin (AGI, 2011)

Extended Sparse Distributed Memory. - Javier Snaider; Stan Franklin (BICA, 2011)

Integer Sparse Distributed Memory. - Javier Snaider; Stan Franklin (FLAIRS, 2012)

Extended Sparse Distributed Memory and Sequence Storage. - Javier Snaider; Stan Franklin (Cogn. Comput., 2012)

Time production and representation in a conceptual and computational cognitive model. - Javier Snaider; Ryan James McCall; Stan Franklin (Cogn. Syst. Res., 2012)

Conceptual Commitments of the LIDA Model of Cognition. - Stan Franklin; Steve Strain; Ryan James McCall; Bernard J. Baars (J. Artif. Gen. Intell., 2013)

Integer sparse distributed memory: Analysis and results. - Javier Snaider; Stan Franklin; Steve Strain; E. Olusegun George (Neural Networks, 2013)

Vector LIDA. - Javier Snaider; Stan Franklin (BICA, 2014)

The learning intelligent distribution agent (LIDA) and medical agent X (MAX): Computational intelligence for medical diagnosis. - Steve Strain; Sean Kugele; Stan Franklin (CIHLI, 2014)

Sensory Motor System: Modeling the Process of Action Execution. - Daqi Dong; Stan Franklin (CogSci, 2014)

Modular Composite Representation. - Javier Snaider; Stan Franklin (Cogn. Comput., 2014)

The Action Execution Process Implemented in Different Cognitive Architectures: A Review. - Daqi Dong; Stan Franklin (J. Artif. Gen. Intell., 2014)

LIDA: A Systems-level Architecture for Cognition, Emotion, and Learning. - Stan Franklin; Tamas Madl; Sidney K. D'Mello; Javier Snaider (IEEE Trans. Auton. Ment. Dev., 2014)

Estimating Human Movements Using Memory of Errors. - Daqi Dong; Stan Franklin; Pulin Agrawal (BICA, 2015)

A New Action Execution Module for the Learning Intelligent Distribution Agent (LIDA): The Sensory Motor System. - Daqi Dong; Stan Franklin (Cogn. Comput., 2015)

Constrained Incrementalist Moral Decision Making for a Biologically Inspired Cognitive Architecture. - Tamas Madl; Stan Franklin (A Construction Manual for Robots' Ethical Systems, 2015)

A computational cognitive framework of spatial memory in brains and robots. - Tamas Madl; Stan Franklin; Ke Chen 001; Robert Trappl (Cogn. Syst. Res., 2018)

"Conscious" Multi-Modal Perceptual Learning for Grounded Simulation-Based Cognition. - Sean Kugele; Stan Franklin (CogSci, 2020)

The pattern theory of self in artificial general intelligence: A theoretical framework for modeling self in biologically inspired cognitive architectures. - Kevin Ryan; Pulin Agrawal; Stan Franklin (Cogn. Syst. Res., 2020)

Artificial Motivation for Cognitive Software Agents. - Ryan James McCall; Stan Franklin; Usef Faghihi; Javier Snaider; Sean Kugele (J. Artif. Gen. Intell., 2020)

Learning in LIDA. - Sean Kugele; Stan Franklin (Cogn. Syst. Res., 2021)

Modeling Long-Term Intentions and Narratives in Autonomous Agents. - Christian Kronsted; Zachariah A. Neemeh; Sean Kugele; Stan Franklin (J. Artif. Intell. Conscious., 2021)

Body Schema in Autonomous Agents. - Zachariah A. Neemeh; Christian Kronsted; Sean Kugele; Stan Franklin (J. Artif. Intell. Conscious., 2021)

Modeling interactions between the embodied and the narrative self: Dynamics of the self-pattern within LIDA. - Alexander Hölken; Sean Kugele; Albert Newen; Stan Franklin (Cogn. Syst. Res., 2023)