Papers

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2023

Dong, D. (2023). Enabling an autonomous agent sharing its minds, describing its conscious contents. Cognitive Systems Research, 80, 103-109. doi: https://doi.org/10.1016/j.cogsys.2023.03.001 (View: DOC)

Hölken, A., Kugele, S., Newen, A., & Franklin, S. (2023). Modeling Interactions between the Embodied and Narrative Self: Dynamics of the Self-Pattern within LIDA. Cognitive Systems Research. doi: https://doi.org/10.1016/j.cogsys.2023.03.002 (View: PDF)


2022

Kronsted, C., Kugele, S., Neemeh, Z. A., Ryan, K., & Franklin, S. (2022). Embodied Intelligence: Smooth coping in the Learning Intelligent Decision Agent (LIDA) Cognitive Architecture. Frontiers in Psychology, 13. doi: https://doi.org/10.3389/fpsyg.2022.846931 (View: PDF)


2021

Kronsted, C., Neemeh, Z. A., Kugele, S., & Franklin, S. (2021). Modeling long-term intentions and narratives in autonomous agents. Journal of Artificial Intelligence and Consciousness, 8(1), 229-265. doi: https://doi.org/10.1142/S2705078521500107 (View: PDF)

Neemeh, Z. A., Kronsted, C., Kugele, S., & Franklin, S. (2021). Body schema in autonomous agents. Journal of Artificial Intelligence and Consciousness, 8(1), 113-145. doi: https://doi.org/10.1142/S2705078521500065 (View: PDF)

Kugele, S., & Franklin, S. (2021). Learning in LIDA. Cognitive Systems Research, 66, 176-200. doi: https://doi.org/10.1016/j.cogsys.2020.11.001 (View: PDF)


2020

McCall, R., Franklin, S., Faghihi, U., Snaider, J., & Kugele, S. (2020). Artificial Motivation for Cognitive Software Agents. Journal of Artificial General Intelligence, 11(1), 38-69. doi: https://doi.org/10.2478/jagi-2020-0002 (View: PDF)

Ryan, K., Agrawal, P., & Franklin, S. (2020). The pattern theory of self in artificial general intelligence: A theoretical framework for modeling self in biologically inspired cognitive architectures. Cognitive Systems Research, 62, 44-56. doi: https://doi.org/10.1016/j.cogsys.2019.09.018 (View: PDF)

Franklin, S. (2020). Global Workspace Theory, LIDA and IDyOT. Physics of Life Reviews. doi: https://doi.org/10.1016/j.plrev.2020.04.002 (View: PDF)

Kugele, S., & Franklin, S. (2020). "Conscious" multi-modal perceptual learning for grounded simulation-based cognition. In S. Denison, M. Mack, Y. Xu, & B.C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 2459-2465). Cognitive Science Society. (View: PDF)

Kugele, S., & Franklin, S. (2020). A study in activation: Towards a common lexicon and functional taxonomy in cognitive architectures. In Proceedings of the 18th Annual Meeting of the International Conference on Cognitive Modelling (pp. 138-144). (View: PDF)

Kugele, S., & Franklin, S. (2020). General intelligence requires autonomous, cognitive, intentional agents. In Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems. (View: PDF)


2018

Franklin, S., Strain, S., Kugele, S., Madl, T., Ait Khayi, N., & Ryan, K. (2018). New Developments in the LIDA Model. APA Newsletter on Philosophy and Computers, 17(2). (View: PDF)

Ait Khayi, N., & Franklin, S. (2018). Initiating language in LIDA: learning the meaning of vervet alarm calls. Biologically Inspired Cognitive Architectures, 23, 7-18. doi: https://doi.org/10.1016/j.bica.2018.01.003 (View: PDF)

Madl, T., Franklin, S., Chen, K., & Trappl, R. (2018). A computational cognitive framework of spatial memory in brains and robots. Cognitive Systems Research, 47, 147-172. (View: PDF)

Agrawal, P., Franklin, S., & Snaider, J. (2018). Sensory Memory For Grounded Representations in a Cognitive Architecture. In Proceedings of the Sixth Annual Conference on Advances in Cognitive Systems (ACS Poster Collection) (pp. 1-18). (View: PDF)


2016

Franklin, S., Madl, T., Strain, S., Faghihi, U., Dong, D., Kugele, S., Snaider, J., Agrawal, P., Chen, S. (2016). A LIDA cognitive model tutorial. Biologically Inspired Cognitive Architectures, 105-130. doi: https://doi.org/10.1016/j.bica.2016.04.003 (View: PDF)

Madl, T., Franklin, S., Chen, K., Montaldi, D., & Trappl, R. (2016). Towards real-world capable spatial memory in the LIDA cognitive architecture. Biologically Inspired Cognitive Architectures, 87-104. (View: PDF)

Madl, T., Franklin, S., Chen, K., Trappl, R., & Montaldi, D. (2016). Exploring the Structure of Spatial Representations. PloS one, 11(6), e0157343. (View: PDF)


2015

Dong, D., & Franklin, S. (2015). A New Action Execution Module for the Learning Intelligent Distribution Agent (LIDA): The Sensory Motor System. Cognitive Computation. doi: https://doi.org/10.1007/s12559-015-9322-3. (View: PDF)

Dong, D., & Franklin, S. (2015). Modeling Sensorimotor Learning in LIDA Using a Dynamic Learning Rate. Biologically Inspired Cognitive Architectures, 14, 1-9. (View: PDF)

Dong, D., Franklin, S., & Agrawal, P. (2015). Estimating Human Movements Using Memory of Errors. Procedia Computer Science, 71, 1-10. (View: PDF)

Faghihi, U., Estey, C., McCall, R., & Franklin, S. (2015). A Cognitive Model Fleshes Out Kahneman's Fast and Slow Systems. Biologically Inspired Cognitive Architectures, 11, 38-52. (View: PDF)

Madl, T., Franklin, S. (2015). Constrained Incrementalist Moral Decision Making for a Biologically Inspired Cognitive Architecture. A Construction Manual for Robots' Ethical Systems. Cognitive Technologies. Springer. (View: PDF)

Madl, T., Franklin, S., Snaider, J., & Faghihi, U. (2015). Continuity and the Flow of Time: A Cognitive Science Perspective. In B. Mölder, V. Arstila & P. Øhrstrøm (Eds.), Philosophy and Psychology of Time: Springer. (View: PDF)


2014

Agrawal, P., & Franklin, S. (2014). Multi-Layer Cortical Learning Algorithms. Paper presented at 2014 IEEE Symposium Series on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB) (pp. 141, and 147). (View: PDF)

Dong, D., & Franklin, S. (2014). The Action Execution Process Implemented in Different Cognitive Architectures: A Review. Journal of Artificial General Intelligence, 5(1), 47-66. (View: PDF)

Dong, D., & Franklin, S. (2014). Sensory Motor System: Modeling the Process of Action Execution. In M. Bello P., Guarini M., McShane M. & Scassellati B. (Eds.) Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2145-2150). Austin TX: Cognitive Science Society. (View: PDF)

Franklin, S. (2014). History, motivations and core themes of AI. In K. Frankish & W. Ramsey (Eds.), The Cambridge Handbook of Artificial Intelligence (pp. 15-33). Cambridge: Cambridge University Press.
(View: PDF)

Franklin, S., Madl, T., D'Mello, S., & Snaider, J. (2014). LIDA: A Systems-level Architecture for Cognition, Emotion, and Learning. IEEE Transactions on Autonomous Mental Development, 6(1), 19-41.
doi: https://doi.org/10.1109/TAMD.2013.2277589 (View: PDF)

Madl, T., Franklin, S., Chen, K., Montaldi, D., & Trappl, R. (2014). Bayesian Integration of Information in Hippocampal Place Cells. PLoS ONE, 9(3), e89762. doi: https://doi.org/10.1371/journal.pone.0089762

Snaider, J., & Franklin, S. (2014). Modular Composite Representation. Cognitive Computation, 6(3), 510-527. doi: https://doi.org/10.1007/s12559-013-9243-y (View: PDF)

Snaider, J., & Franklin, S. (2014). Vector LIDA. Procedia Computer Science, 41, 188-203. (View: PDF)

Strain, S., Kugele, S., & Franklin, S. (2014). The Learning Intelligent Distribution Agent (LIDA) and Medical Agent X (MAX): Computational Intelligence for Medical Diagnosis. Proceedings of the IEEE Symposium Series on Computational Intelligence, Orlando, FL (SSCI 2014), Symposium on Computational Intelligence for Human-like Intelligence (CIHLI), 78-85. (View: PDF)


2013

Baars, B., Franklin, S., & Rams√ły, T. (2013). Global workspace dynamics: Cortical "binding and propagation" enables conscious contents. Frontiers in Consciousness Research, 4, 200. doi: https://doi.org/10.3389/fpsyg.2013.00200 (View: PDF)

Baars, B. J. (2013). Multiple sources of conscious odor integration and propagation in olfactory cortex. Frontiers in psychology, 4. (View: PDF)

Baars, B. J. (2013). A scientific approach to silent consciousness. Frontiers in psychology, 4.
(View: PDF)

Franklin, S., Strain, S., McCall, R., & Baars, B. (2013). Conceptual Commitments of the LIDA Model of Cognition. Journal of Artificial General Intelligence, 4(2), 1-22. doi: https://doi.org/10.2478/jagi-2013-0002 (View: PDF)

Strain, S. & Franklin, S. (2013). Authors' Response to Commentaries on "Conceptual Commitments of the LIDA Model of Cognition". Journal of Artificial General Intelligence, 4(2), 48-58. (View: PDF)

Madl, T., Franklin, S., Chen, K., & Trappl, R. (2013). Spatial Working Memory in the LIDA Cognitive Architecture. In R. West & T. Stewart (Eds.), Proceedings of the 12th International Conference on Cognitive Modelling (pp. 384-390). Ottawa, Canada: Carleton University. (View: PDF)

McCall, R. & Franklin, S. (2013). Cortical Learning Algorithms with Predictive Coding for a Systems-Level Cognitive Architecture. Proceedings of the Second Annual Conference on Advances in Cognitive Systems (pp. 149-166). Baltimore, MD, USA. (View: PDF)

Snaider, J., Franklin, S., Strain, S., & George, E. O. (2013). Integer sparse distributed memory: Analysis and results. Neural Networks, 46, 144-153.


2012

Snaider, J., & Franklin, S. (2012). Integer Sparse Distributed Memory. Paper presented at the Twenty-Fifth International FLAIRS Conference. (View: PDF)

Baars, B. J., & Edelman, D. B. (2012). Consciousness, biology and quantum hypotheses. Physics of life reviews, 9(3), 285-294. (View: PDF)

Faghihi, U., & Franklin, S. (2012). The LIDA Model as a Foundational Architecture for AGI. In P. Wang & B. Goertzel (Eds.), Theoretical Foundations of Artificial General Intelligence (pp. 105-123). Paris: Atlantis Press. (View: PDF)

Faghihi, U., McCall, R., & Franklin, S. (2012). A Computational Model of Attentional Learning in a Cognitive Agent. Biologically Inspired Cognitive Architectures, 2, 25-36. (View: PDF)

Franklin, S., Strain, S., Snaider, J., McCall, R., & Faghihi, U. (2012). Global Workspace Theory, its LIDA Model and the Underlying Neuroscience. Biologically Inspired Cognitive Architectures, 1, 32-43. doi: https://doi.org/10.1016/j.bica.2012.04.001 (View: PDF)

Madl, T., & Franklin, S. (2012). A LIDA-based Model of the Attentional Blink. Proceedings of the 11th International Conference on Cognitive Modeling (ICCM 2012). (View: PDF)

McCall, R., & Franklin, S. (2012). Meta Learning, Change of Internal Workings, and LIDA: A commentary on Thórisson and Helgasson's "Cognitive architectures and autonomy: A Comparative Review". Journal of Artificial General Intelligence, 3(2), 42-44. doi: https://doi.org/10.2478/v10229-011-0016-2 (View: PDF)

Ramamurthy, U., Franklin, S., & Agrawal, P. (2012). Self-system in a model of cognition. International Journal of Machine Consciousness, 4(2), 325-333. (View: PDF)

Snaider, J., & Franklin, S. (2012). Extended Sparse Distributed Memory and Sequence Storage. Cognitive Computation, 4(2), 172-180. doi: https://doi.org/10.1007/s12559-012-9125-8 (View: PDF)

Snaider, J., McCall, R., & Franklin, S. (2012). Time production and representation in a conceptual and computational cognitive model. Cognitive Systems Research, 13(1), 59-71. doi: https://doi.org/10.1016/j.cogsys.2010.10.004 (View: PDF)


2011

D'Mello, S. K., & Franklin, S. (2011). A Cognitive Model's View of Animal Cognition. Current Zoology, 54(4), 499-512.
(View: DOC)

D'Mello, S., & Franklin, S. (2011). Computational modeling/cognitive robotics complements functional modeling/experimental psychology. New ideas in psychology, 29(3), 217-227. doi: https://doi.org/10.1016/j.newideapsych.2009.07.003 (View: PDF)

Edelman, G. M., Gally, J. A., & Baars, B. J. (2011). Biology of consciousness. Frontiers in Psychology, 2. (View: PDF)

Franklin, S. (2011). Global Workspace Theory, Shanahan, and LIDA. International Journal of Machine Consciousness, 3(2), 327-337. doi: https://doi.org/10.1142/S1793843011000728 (View: PDF)

Lopez De Luise, D., Barrera, G., & Franklin, S. (2011). Robot Localization using Consciousness. Journal of Pattern Recognition Research, 6, 1-23. (View: PDF)

Madl, T., Baars, B. J., & Franklin, S. (2011). The Timing of the Cognitive Cycle. PLoS ONE, 6(4), e14803. (View: PDF)

Ramamurthy, U., & Franklin, S. (2011). Memory Systems for Cognitive Agents. Proceedings of Human Memory for Artificial Agents Symposium at the Artificial Intelligence and Simulation of Behavior Convention (AISB'11), University of York, UK, 2011, p 35-40. (View: PDF)

Ramamurthy, U., & Franklin, S. (2011). Self System in a model of Cognition. Proceedings of Machine Consciousness Symposium at the Artificial Intelligence and Simulation of Behavior Convention (AISB'11), University of York, UK, 2011, p 51-54. (View: PDF)

Snaider, J., & Franklin, S. (2011). Extended Sparse Distributed Memory. Paper presented at the Biological Inspired Cognitive Architectures 2011, Washington D.C. USA. (View: PDF)

Snaider, J., McCall, R., & Franklin, S. (2011). The LIDA Framework as a General Tool for AGI. The Fourth Conference on Artificial General Intelligence. (View: PDF)

Strain, S., & Franklin, S. (2011). Modeling medical diagnosis using a comprehensive cognitive architecture. Journal of Healthcare Engineering, 2(2), 241-257. (View: PDF)

Wallach, W., Allen, C., & Franklin, S. (2011). Consciousness and Ethics: Artificially Conscious Moral Agents. International Journal of Machine Consciousness, 3(1), 177-192. (View: PDF)

Snaider, J., McCall, R., Strain, S., & Franklin, S. (2011). The LIDA Tutorial. Paper presented at the Fourth Conference on Artificial General Intelligence (AGI-11), Mountainview, CA. (View: PDF)


2010

Baars, B. (2010). Spontaneous Repetitive Thoughts Can Be Adaptive: Postscript on "mind wandering". Psychological Bulletin, 136(2), 208-210. (View: PDF)

Franklin, S., & Baars, B. (2010). Two varieties of Unconscious Processes. In E. Perry, D. Collerton, H. Ashton & F. LeBeau (Eds.), New Horizons in the Neuroscience of Consciousness (pp. 91-102). Amsterdam: John Benjamin. (View: DOC)

Franklin, S., & Baars, B. J. (2010). Spontaneous remembering is the norm: What integrative models tell us about human consciousness and memory. In John H. Mace (Ed.), The Act of Remembering: Toward an understanding of how we recall the past. Oxford: Blackwell. (View: DOC)

McCall, R., Franklin, S., Friedlander, D. (2010). Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc.. Paper presented at the FLAIRS-23, Daytona Beach, FL. (View: PDF)

Snaider, J., McCall, R., & Franklin, S. (2010). The Immediate Present Train Model Time Production and Representation for Cognitive Agents. Paper presented at the AAAI Spring Symposium on "It's All In the Timing", Palo Alto, CA. (View: PDF) [This paper is largely similar in content to "Time Production & Representation in a Conceptual & Computational Cognitive Model". These papers are intended for different audiences.]

Wallach, W., Franklin, S., & Allen, C. (2010). A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents. In W. Wallach & S. Franklin (Eds.), Topics in Cognitive Science, special issue on Cognitive Based Theories of Moral Decision Making. pp. 454-485 Cognitive Science Society. (View: PDF)

Wilkes, D. M., Franklin, S., Erdemir, E., Gordon, S., Strain, S., Miller, K., & Kawamura, K. (2010). Heterogeneous Artificial Agents for Triage Nurse Assistance. 2010 IEEE-RAS International Conference on Humanoids Robots (pp. 130-137). Nashville, TN, USA: IEEE. (View: DOC)


2009

Baars, B. J. (2009). William James on the Mind and Its Fringes. In: William P. Banks, (Ed.), Encyclopedia of Consciousness. v. 2, 459-468. Oxford: Elsevier. (View: PDF)

Baars, B. J., & Franklin, S.. (2009). Consciousness is computational: The LIDA model of global workspace theory. International Journal of Machine Consciousness. (View: PDF)

Franklin, S. (2009). Into the Future. In R. Ruggies (Ed.), Knowledge Management Tools (pp. 287-295). Boston: Butterworth-Heinemann. (Reprinted from Artificial Minds)

Franklin, S., D'Mello, S., Baars, B. J., & Ramamurthy, U. (2009). Evolutionary pressures for perceptual stability and self as guides to machine consciousness. International Journal of Machine Consciousness. (View: PDF)

Ramamurthy, U., & Franklin, S. (2009). Resilient Architectures To Facilitate Both Functional Consciousness and Phenomenal Consciousness in Machines. International Journal of Machine Consciousness, 1(2), 243-253. doi: https://doi.org/10.1142/S1793843009000220

Snaider, J., McCall, R., & Franklin, S. (2009). Time Production and Representation in a Conceptual and Computational Cognitive Model. Paper presented at the AAAI Fall Symposium on BICA, Washington, D.C. (View: PDF)


2008

Baars, B. (2008). Velasquez and the Postmodern Circle of Mirrors. Journal of Consciousness Studies, 15, 33-37. (View: PDF)

Baars, B. J., Franklin, S., & Ramamurthy, U. (2008). Quod Erat Demonstrandum. APA Newsletter on Philosophy and Computers, 08(1), 6-7.

Ferkin, M. H., Combs, A., delBarco-Trillo, J., Pierce, A. A., & Franklin, S. (2008). Meadow voles, microtus pennsylvanicus, have the capacity to recall the “what”, “where”, and “when” of a single past event. Animal Cognition 11: 147-159. (View: PDF)

Ferkin, M. H., Pierce, A. A., & Franklin, S. (2008). Self-discrimination in meadow voles, Microtus pennsylvanicus. Ethology, 114(9), 863-874(812). doi: https://doi.org/10.1111/j.1439-0310.2008.01531.x

Ferkin, M. H., Pierce, A. A., & Franklin, S. (2008). Self-referencing and recognition in meadow voles, microtus pennsylvanicus. Animal Cognition, 114, 863-874. (View: PDF)

Franklin, S., Wallach, W., & Allen, C. (2008). A More Human-Like AMA. In W. Wallach & C. Allen (Eds.), Moral Machines: Teaching Robots Right from Wrong. Oxford: Oxford University Press.

Franklin, S., Baars, B. J., & Ramamurthy, U. (2008). A Phenomenally Conscious Robot?. APA Newsletter on Philosophy and Computers, 8(1), 2-4.

Franklin, S., & Ferkin, M. H. (2008). Using Broad Cognitive Models and Cognitive Robotics to Apply Computational Intelligence to Animal Cognition. In T. G. Smolinski, M. M. Milanova & A.-E. Hassanien (Eds.), Applications of Computational Intelligence in Biology: Current Trends and Open Problems (pp. 363-394): Springer-Verlag. (View: DOC)

Friedlander, D., & Franklin, S. (2008). LIDA and a Theory of Mind. In Artificial General Intelligence (AGI-08), ed. Ben Goertzel and Pei Wang. Memphis, TN, USA: IOS Press. (View: PDF


2007

Baars, B., & Franklin, S. (2007). An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA. Neural Networks, 20, 955-961. (View: PDF)

Baars, B. J., Ramamurthy, U., & Franklin, S. (2007). How deliberate, spontaneous and unwanted memories emerge in a computational model of consciousness. In Involuntary memory: New perspectives in memory approach, ed. John H. Mace. Oxford: Blackwell. (View: DOC)

D'Mello, S. K., & Franklin, S. (2007). Exploring the complex interplay between ai and consciousness. In AI and Consciousness: Theoretical Foundations and Current Approaches - AAAI Fall Symposium. Washington, D.C.: AAAI. (View: PDF)

Franklin, S. (2007). A foundational architecture for artificial general intelligence. In Advances in artificial general intelligence: Concepts, architectures and algorithms, Proceedings of the AGI workshop 2006, ed. Ben Goertzel and Pei Wang, 36-54.. (View: DOC)

Franklin, S. (2007). Review of Walter J. Freeman, How Brains Make Up their Minds. Minds and Machines, 17(3), 353-356. (View:PDF)

Franklin, S., Goertzel, B., Samsonovich, A., & Wang, P. (2007). Four Contemporary AGI Designs: a Comparative Treatment. Frontiers in Artificial Intelligence and Applications, 157, 25-35.

Franklin, S., Ramamurthy, U., D'Mello, S. K., McCauley, L., Negatu, A., Silva, R., & Datla, V. (2007). LIDA: A computational model of global workspace theory and developmental learning. In AAAI Fall Symposium on AI and Consciousness: Theoretical Foundations and Current Approaches. Arlington, VA: AAAI. (View: PDF)

McGovern, K., & Baars, B. (2007). Cognitive Theories of Consciousness. In Philip D. Zelazo, Morris Moscovitch, & Evan Thompson (Eds.), The Cambridge Handbook of Consciousness, Cambridge U. Press. (View: PDF)

Negatu, A., D'Mello, S., & Franklin, S. (2007). Cognitively inspired anticipatory adaptation and associated learning mechanisms for autonomous agents. In ABiALS-2006 - Anticipatory Behavior in Adaptive Learning Systems, ed. Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo and Gianluca Baldassarre. Rome, Italy: Springer (View: PDF)

Sun, R., & Franklin, S. (2007). Computational models of consciousness: A taxonomy and some examples. In Cambridge handbook of consciousness, ed. P D Zelazo and Morris Moscovitch:151­174. New York: Cambridge University Press. (View: PDF)


2006

Baars, B. (2006). Some Essential Differences between Consciousness and Attention, Perception, and Working Memory. Consciousness and Cognition, 6, 363-371. (View: PDF)

D'Mello, S. K., Franklin, S., Ramamurthy, U., & Baars, B. J. (2006). A Cognitive Science Based Machine Learning Architecture. AAAI 2006 Spring Symposium Series. American Association for Artificial Intelligence. Stanford University, Palo Alto, California, USA. March 2006. (View: PDF)

D'Mello, S., Ramamurthy, U., & Franklin, S. (2006). Realizing Forgetting in a Modified Sparse Distributed Memory System. Proceedings of the 28th Annual Meeting of the Cognitive Science Society, 1992-1997. (View: PDF)

D'Mello, S. K., Ramamurthy, U., Negatu, A., & Franklin, S. (2006). A Procedural Learning Mechanism for Novel Skill Acquisition. In Workshop on Motor Development: Proceeding of Adaptation in Artificial and Biological Systems, AISB'06, vol. 1, ed. T. Kovacs, and J. A. R. Marshall. Bristol, England: Society for the Study of Artificial Intelligence and the Simulation of Behaviour. (View: PDF)

Franklin, S., & Ferkin, M. (2006). An Ontology for Comparative Cognition: A Functional Approach. In Comparative Cognition & Behavior Reviews, 1, 36-52. (View: PDF)

Franklin, S., & Patterson, F. G. (2006). The LIDA Architecture:  Adding New Modes of Learning to an Intelligent, Autonomous, Software Agent. Integrated Design and Process Technology, IDPT-2006, San Diego, CA, Society for Design and Process Science. (View: PDF)

Franklin, S., & Ramamurthy, U. (2006). Motivations, Values and Emotions: 3 sides of the same coin. Proceedings of the Sixth International Workshop on Epigenetic Robotics, Paris, France, September 2006, Lund University Cognitive Studies, 128, 41-48. (View: PDF)

Negatu, A., Franklin, S., & McCauley, L. (2006). A non-routine problem solving mechanism for a general cognitive agent architecture Problem Solving: Techniques, Steps, and Processes. Hauppauge, NY: Nova Science Publishers.

Ramamurthy, U., Baars, B., D'Mello, S. K., & Franklin, S. (2006). LIDA: A Working Model of Cognition. Proceedings of the 7th International Conference on Cognitive Modeling, 244-249. (View: PDF)

Ramamurthy, U., D'Mello, S. K., & Franklin, S. (2006). LIDA: A computational model of Global Workspace Theory and developmental learning. Paper presented at the BICS 2006: Brain Inspired Cognitive Systems. (View: PDF)


2005

Anwar, A., & Franklin, S. (2005). A Sparse Distributed Memory Capable of Handling Small Cues, SDMSCue. In High Performance Computational Science and Engineering: Ifip tc5 Workshop on High Performance Computational Science and Engineering(HPCSE), World Computer Congress, August 22-27, 2004, Toulouse, France, ed. Michael K Ng, Andrei Doncescu, Laurence T Yang and Tau O. Leng:23-38. New York: Springer Science+Business Media Inc. (View: PDF)

Baars, B. (2005). Subjective experience is probably not limited to humans: The evidence from neurobiology and behavior. Consciousness and Cognition, 14, pp. 7-21. (View: PDF)

D'Mello, S., Ramamurthy, U., & Franklin, S. (2005). Encoding and Retrieval Efficiency of Episodic Data in a Modified Sparse Distributed MemorySystem. Proceedings   of the 27th Annual Meeting of the Cognitive Science Society. Stresa, Italy. (View: PDF)

Franklin, S. (2005). Cognitive Robots: Perceptual associative memory and learning. Proceedings of the 14th Annual International Workshop on Robot and Human Interactive Communication (pp. 427-433). (View: PDF)

Franklin, S. (2005). A “Consciousness” Based Architecture for a Functioning Mind. In Visions of Mind, ed. D. Davis. Hershey, PA: IDEA Group, Inc. (View: PDF)

Franklin, S. (2005). Evolutionary Pressures and a Stable World for Animals and Robots: A Commentary on Merker. Consciousness and Cognition 14:115-118 (View: PDF)

Franklin, S. (2005). Perceptual Memory and Learning: Recognizing, Categorizing, and Relating. Symposium on Developmental Robotics; American Association for Artifical Intelligence (AAAI); Stanford University, Palo Alto CA, USA; March 21-23, 2005 (View: RTF)

Franklin, S., Baars, B. J., Ramamurthy, U., &. Ventura, M. (2005). The Role of Consciousness in Memory. Brains, Minds and Media, Vol.1, bmm150 (urn:nbn:de:0009-3-1505) (View: PDF)

Greenspan, R., & Baars, B. (2005). Consciousness eclipsed: Jacques Loeb, Ivan P. Pavlov, and the rise of reductionistic biology after 1900. Consciousness and Cognition, 14, pp. 219-230. (View: PDF)

Kelemen, A., Franklin, S., & Liang, Y. (2005). Constraint Satisfaction in "Conscious" Software Agents - A Practical Application. Applied Artificial Intelligence 19:491-514   (View: PDF)

Kelemen, A., Franklin, S., & Liang, Y. (2005). Learning High Quality Decisions with Neural Networks in “Conscious” Software Agents. Journal of World Scientific and Engineering Academy and Society on Systems, 4, 1482-1492. (View: DOC)

Ramamurthy, U., D'Mello, S. K., & Franklin, S. (2005). Role of Consciousness in Episodic Memory Processes. Presented at the Ninth Conference of the Association for the Scientific Study of Consciousness (Pasadena, CA, 2005)


2004

Baars, B. (2004). Global workspace theory of consciousness: Toward a cognitive neuroscience of human experience?. Progress in Brain Research, 150, 45-53. (View: PDF)

Franklin, S., & Jones, D. (2004). A Triage Information Agent (TIA) based on the IDA Technology. AAAI Fall Symposium on Dialogue Systems for Health Communication; American Association for Artificial Intelligence; Washington, DC, USA. October22-24,2004. (View: PDF)

Franklin, S., & McCauley, L. (2004). Feelings and Emotions as Motivators and Learning Facilitators. Architectures for Modeling Emotions. AAAI Spring Symposia Technical Series Technical Reports SS-04-02. (View: PDF)

Ramamurthy, U. & Franklin, S. (2004). Self-Preservation Mechanisms for Cognitive Software Agents, First World Congress on Lateral-Computing, Bangalore, India, December 17-19.

Seth, A., & Baars, B. (2004). Neural Darwinism and consciousness. Consciousness and Cognition, 14, pp 140-168. (View: PDF)

Ramamurthy, U., D'Mello, S. K., & Franklin, S. (2004). Modified Sparse Distributed Memory as Transient Episodic Memory for Cognitive Software Agents. IEEE International Conference on Systems, Man and Cybernetics - SMC2004 (The Hague, Netherlands, October 10-13, 2004). (View: PDF)


2003

Anwar, A., & Franklin, S. (2003). Sparse Distributed Memory for “Conscious” Software Agents. Cognitive Systems Research, 4, 339-354. (View: DOC)

Baars, B. (2003). I.P. Pavlov and the Freedom Reflex. Journal of Consciousness Studies, 10(11), 19-40. (View: PDF)

Baars, B. (2003). How Brain Reveals Mind. Neural Studies Support the Fundamental Role of Conscious Experience. Journal of Consciousness Studies, Volume 10, Numbers 9-10, 2003, pp. 100-114. (View: PDF)

Baars, B., & Franklin, S. (2003). How conscious experience and working memory interact. Trends in Cognitive Sciences, 7(4). (View: PDF)

Baars, B., Ramsoy, T., & Laureys, S. (2003). Brain, conscious experience and the observing self. Trends in Neurosciences, 26(12). (View: PDF)

Franklin, S. (2003). An Autonomous Software Agent for Navy Personnel Work: A Case Study. In Human Interaction with Autonomous Systems in Complex Environments: Papers from 2003 AAAI Spring Symposium, ed. D. Kortenkamp, and M. Freed. Palo Alto: AAAI. (View: DOC )

Franklin, S. (2003). A computer-based model of Crick and Koch’s Framework for Consciousness. Editorial Review: Science & Consciousness Review. (View: PDF)

Franklin, S. (2003). IDA: A Conscious Artifact?. Journal of Consciousness Studies, 10(4-5), 47-66. (View: PDF)

Ramamurthy, U., D'Mello, S. K., & Franklin, S. (2003). Modeling Memory Systems with Global Workspace Theory. Presented at the Seventh Conference of the Association for the Scientific Study of Consciousness, May 30 - June 2.


2002

Baars, B. (2002). The conscious access hypothesis: Origins and recent evidence. Trends in Cognitive Science, 6(1), 47-52. (View: PDF)

Franklin, S. (2002). IDA on Will: It’s no Illusion. Editorial Review: Science & Consciousness Review.

Kelemen, A., Liang, Y., & Franklin, S. (2002). A Comparative Study of Different Machine Learning Approaches for Decision Making. In Recent Advances in Simulation, Computational Methods and Soft Computing. Piraeus, Greece: WSEAS Press. (View: PDF)

Kelemen, A., Liang, Y., Kozma, R., & Franklin, S. (2002). Optimizing Intelligent Agents Constraint Satisfaction with Neural Networks. In Innovations in Intelligent Systems, ed. A. Abraham, and B. Nath. Heidelberg, Germany: Springer-Verlag. (View: DOC)

McCauley, L., & Franklin, S. (2002). A Large-Scale Multi-Agent System for Navy Personnel Distribution. Connection Science, 14, 371-385. (View: PDF)

Negatu, A., & Franklin, S. (2002). An action selection mechanism for ‘conscious’ software agents. Cognitive Science Quarterly, 2, 363-386. (View: PDF)


2001

Franklin, S. (2001). An Agent Architecture Potentially Capable of Robust Autonomy. AAAI Spring Symposium on Robust Autonomy; American Association for Artificial Intelligence; Stanford, CA; March 2001. (View: PDF)

Franklin, S. (2001). Automating Human Information Agents. In Practical Applications of Intelligent Agents, ed. Z. Chen, and L. C. Jain. Berlin: Springer-Verlag. (View: PDF)

Franklin, S. (2001). Conscious Software: A Computational View of Mind. In Soft Computing Agents: New Trends for Designing Autonomous Systems, ed. V. Loia, and S. Sessa. Berlin: Springer (Physica-Verlag), 1-46.

Franklin, S. (2001). Models as implementations of a theory, rather than simulations: Dancing to a different drummer. Behavioral and Brain Sciences, 24, 1059. (View: PDF)

Franklin, S., & Graesser, A. (2001). Modeling Cognition with Software Agents. In CogSci2001: Proceedings of the 23rd Annual Conference of the Cognitive Science Society, ed. J. D. Moore, and K. Stenning. Mahwah, NJ: Lawrence Erlbaum Associates; August 1-4, 2001. (View: PDF)

Kondadadi, R., & Franklin, S. (2001). Deliberative Decision Making in “Conscious” Software Agents. In Proceedings Of Sixth International Symposium on Artificial Life and Robotics (AROB-01). (View: PDF)

Ramamurthy, U., Negatu, A., & Franklin, S. (2001). Learning Mechanisms for Intelligent Systems. SSGRR-2001 International Conference on Advances in Infrastructure for e-Business, e-Education and e-Science on the Internet L'Aquila Italy. August 6-12, 2001. (View: PDF)


2000

Bogner, M., Ramamurthy, U., & Franklin, S. (2000). “Consciousness” and Conceptual Learning in a Socially Situated Agent. In Human Cognition and Social Agent Technology, ed. K. Dautenhahn. Amsterdam: John Benjamins. (View: DOC)

Franklin, S. (2000). Building Life-Like “Conscious” Software Agents. Artificial Intelligence Communications, 13, 183-193. (View: PDF)

Franklin, S. (2000). A “Consciousness” Based Architecture for a Functioning Mind. In Proceedings of the Symposium on Designing a Functioning Mind, Birmingham, England, April 2000, ed. A. Sloman. (View:PDF)

Franklin, S. (2000). Deliberation and Voluntary Action in “Conscious” Software Agents. Neural Network World, 10, 505-521. (View: PDF)

Franklin, S. (2000). Learning in "Conscious" Software Agents. In Workshop on Development and Learning, ed. J. Wang. Michigan State University; East Lansing, Michigan USA: NSF; DARPA; April 5-7, 2000. (View: DOC)

Franklin, S. (2000). Modeling Consciousness and Cognition in Software Agents. In Proceedings of the International Conference on Cognitive Modeling, Groeningen, NL, March 2000, ed. N. Taatgen. (View: PDF)

Kondadati, R., Dasgupta, D., & Franklin, S. (2000). An Evolutionary Approach for Job Assignment. Ninth International ISCA Conference on Intelligent Systems, ISCA.

McCauley, L., Franklin, S., & Bogner, M. (2000). An Emotion-Based “Conscious” Software Agent Architecture. In Affective Interactions, Lecture Notes on Artificial Intelligence ed., vol. 1814, ed. A. Paiva. Berlin: Springer. (View: DOC)

Song, H., & Franklin, S. (2000). A Behavior Instantiation Agent Architecture. Connection Science, 12, 21-44.


1999

Anwar, A., Dasgupta, D., & Franklin, S. (1999). Using Genetic Algorithms for Sparse Distributed Memory Initialization. International Conference Genetic and Evolutionary Computation (GECCO). July 1999. (View: DOC)

Franklin, S. (1999). Action Selection and Language Generation in “Conscious” Software Agents. Workshop on Behavior Planning for Life-Like Characters and Avatars I3. Sitges, Spain March 1999. (View: DOC)

Franklin, S., & Graesser, A. (1999). A Software Agent Model of Consciousness. Consciousness and Cognition 8:285-305. (View: DOC)

McCauley, L., Franklin, S., & Bogner, M. (1999). An Emotion-Based “Conscious” Software Agent Architecture. Proceedings of the International Workshop on Affect in Interactions Towards a New Generation of Interfaces, Siena, Italy, October 21-22, 1999. New York:Springer-Verlag.

Negatu, A., & Franklin, S. (1999). Behavioral learning for adaptive software agents. Intelligent Systems: ISCA 5th International Conference; International Society for Computers and Their Applications - ISCA; Denver, Colorado; June 1999. (View: DOC)


1998

Franklin, S., Kelemen, A., & McCauley, L. (1998). IDA: A Cognitive Agent Architecture. In IEEE Conference on Systems, Man and Cybernetics. IEEE Press. (View: DOC)

McCauley, T. L., & Franklin, S. (1998). An Architecture for Emotion. In AAAI Fall Symposium Emotional and Intelligent: The Tangled Knot of Cognition. Menlo Park, CA:AAAI Press. (View: DOC)

Ramamurthy, U., Franklin, S., & Negatu, A. (1998). Learning Concepts in Software Agents. In From Animals to Animats 5: Proceedings of The Fifth International Conference on Simulation of Adaptive Behavior, ed. R. Pfeifer, B. Blumberg, J.-A. Meyer, and S. W. Wilson. Cambridge, Mass:MIT Press. (View: PDF)

Ramamurthy, U., Bogner, M., & Franklin, S. (1998). Conscious Learning in an Adaptive Software Agent. In Proceedings of the Second Asia Pacific Conference on Simulated Evolution and Learning. (View: PDF)

Zhang, Z., Dasgupta, D., & Franklin, S. (1998). Metacognition in software agents using classifier systems. Proceedings of the Fifteenth National Conference on Artificial Intelligence, Madison, Wisconsin. Cambridge: MIT Press, 83-88. (View:DOC)

Zhang, Z., Franklin, S., Olde, B., Wan, Y., & Graesser, A. (1998). Natural language sensing for autonomous agents. Proceedings of the IEEE Joint Symposia on Intelligence and Systems, Rockville, Maryland, 374-381. (View: HTML)


1997

Franklin, S. & Graesser, A. (1997). Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages, published as Intelligent Agents III, Springer-Verlag, 1997, 21-35. (View: HTML)

Franklin, S. (1997). Autonomous Agents as Embodied AI. Cybernetics and Systems, special issue on Epistomological Issues in Embodied AI, 28:6 1997 499-520. (View: HTML)

Franklin, S. (1997). Action patterns, conceptualization, and artificial intelligence. Behavioral and Brain Sciences, 20(1), 23-24. doi: https://doi.org/10.1017/S0140525X97270019

Doran, J. E., Franklin, S., Jennings, N. E., & Norman, T. J. (1997). On Cooperation in Multi-Agent Systems. The Knowledge Engineering Review, 12(3), 309-314.

Franklin, S. (1997) Global Workspace Agents. Journal of Consciousness Studies, 4(4), 322-234.

Newman, J., Baars, B., & Cho, S. (1997). A Neural Global Workspace Model for Conscious Attention. Neural Networks 10 (7), pp. 1195-1206. (View PDF )


1996

Franklin, S., Graesser, A., Olde, B., Song, H., & Negatu, A. (1996). Virtual Mattie: an Intelligent Clerical Agent. Symposium on Embodied Cognition and Action. AAAI. Cambridge, MA. Nov. (View: HTML)

Franklin, S., Song, H., & Negatu, A. (1996). SUMPY: A Fuzzy Software Agent. Proceedings of the 5th Conference of the International Society for Computers and Their Applications (ISCA) (pp. 124-129). (View: HTML)


1995

Franklin, S. (1995). Artificial Minds, MIT Press.


1994

Franklin, S., Zhou, L. (1995). Character Recognition Agents, Proceedings of Artificial Life IV, MIT Press, 1994, 301-306.


1988

Baars, B. J. (1988). A Cognitive Theory of Consciousness. Cambridge University Press. (View: PDF)


Unpublished

McCall, R., Snaider, J., & Franklin, S. (2010). Sensory and perceptual scene representation. [Unpublished manuscript]. (View: DOC)

Franklin, S. (2006). How the IDA model supports the Crick and Koch Framework. [Unpublished manuscript]. (View:Abstract or PDF)

Bogner, M., Maletic, J., & Franklin, S. (n.d.). ConAg: a reusable framework for developing "conscious" software agents. [Unpublished manuscript.] (View:Abstract or PDF)

Franklin, S. (1996). Coordination without Communication. [Unpublished manuscript]. (View: HTML)


Posters

Baars, B., & Franklin, S. (2008). 10 Hertz Poster. (View: PDF)

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