Murray Shanahan
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Murray Shanahan is a person.
- Context:
- See: Cognitive Robotics.
References
- Professional Homepage: http://www.doc.ic.ac.uk/~mpsha/
- Google Scholar Author Page: http://scholar.google.com/citations?user=00bnGpAAAAAJ
2024
- (Gabriel et al., 2024) ⇒ Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomašev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, and James Manyika. (2024). “The Ethics of Advanced AI Assistants.” doi:10.48550/arXiv.2404.16244
2014
- http://www.doc.ic.ac.uk/~mpsha/Research.html
- I am primarily interested in cognitive architecture, both as it is found in Nature and as it might be realised artificially. Because I'm committed to the view that cognition and embodiment are initmately related, I also have a strong interest in robotics. Robots, for me, are a vehicle for testing theories of cognition. Of course, if we have a good theory of cognition - one that passes the test of implementability on a robot - then it will help us build better, more intelligent robots. I'm also interested in consciousness, and I see consciousness and cognition as closely related. Furthermore, in my opinion, to understand these themes properly entails a certain degree of engagement with philosophy, particularly philosophy of mind. Finally, I am interested in the long-term implications of AI technology, both its potential and its risks.
Here are some of the specific themes I'm interested in. ...
- Brain networks, in particular small-world networks and modular networks. The brain's structural (white matter) and functional networks are known to exhibit these properties, and they are also related to the generation of dynamical complexity.
- Dynamical complexity. Many systems, including the brain, exhibit very complex behaviour, and it has been proposed that this is the result of a balance of segregated and integrated activity. I am interested in building models of such systems, especially based on complex network topologies and using spiking neurons.
- Robotics. Ultimately, the acid test for all of the ideas here is robot implementation. I am especialy interested in humanoid robotics.
- Global workspace theory. This is Bernard Baars's theory of consciousness, which is based on global workspace architecture. The architecture comprises a set of parallel specialist processes and a global workspace. The specialists compete and co-operate for access to the global workspace, which if granted allows them to broadcast information back to the whole set of parallel specialists.
- Possible neural substrates of a global workspace. In particular, the hypothesis is that the white matter incorporates a limited capacity communications infrastructure that allows information and influence to be disseminated throughout the brain. My interest is in building models of this communications infrastructure using the methods of computational neuroscience.
- The simulation hypothesis. This is the idea that the brain is capable of internally simulating interactions with the environment. This capacity can be likened to the operation of the "imagination", and it works by rehearsing trajectories through sensorimotor space.
- The frame problem. Originally this was a problem that arose in logic-based AI (which I worked on extensively), but my recent interest relates more to the philosophers' interpretation of the term.
- The technological singularity. Without subscribing either to alarmist or to evangelist views, I am interested in understanding the long-term implications for humanity of AI technology.
- I am primarily interested in cognitive architecture, both as it is found in Nature and as it might be realised artificially. Because I'm committed to the view that cognition and embodiment are initmately related, I also have a strong interest in robotics. Robots, for me, are a vehicle for testing theories of cognition. Of course, if we have a good theory of cognition - one that passes the test of implementability on a robot - then it will help us build better, more intelligent robots. I'm also interested in consciousness, and I see consciousness and cognition as closely related. Furthermore, in my opinion, to understand these themes properly entails a certain degree of engagement with philosophy, particularly philosophy of mind. Finally, I am interested in the long-term implications of AI technology, both its potential and its risks.
2006
- (Shanahan, 2006) ⇒ Murray Shanahan. (2006). “A Cognitive Architecture that Combines Internal Simulation with a Global Workspace.” In: Consciousness and Cognition, 15(2).
1999
- (Shanahan, 1999) ⇒ Murray Shanahan. (1999). The event calculus explained." In Artificial intelligence today, pp. 409-430. Springer Berlin Heidelberg.
1997
- (Shanahan, 1997) ⇒ Murray Shanahan. (1997). “Solving the Frame Problem: a mathematical investigation of the common sense law of inertia." MIT press.
1989
- (Shanahan, 1989) ⇒ Murray Shanahan. (1989). “Prediction is Deduction but Explanation is Abduction.” In: Proceedings of IJCAI 1989 (IJCAI 1989).