Book contents
- Frontmatter
- Contents
- List of Figures and Tables
- Preface
- Prologue
- 1 GPS: The Origins of AI
- 2 Deep Blue: Supercomputing AI
- 3 Cyborgs: Cybernetic AI
- 4 Cyc: Knowledge-Intensive AI
- 5 Coach and Chef: Case-Based AI
- 6 Language Learning: Connectionist AI
- 7 Mathematical Models: Dynamical AI
- 8 Cog: Neorobotic AI
- 9 Copycat: Analogical AI
- Epilogue
- Appendix A Minimax and Alpha-Beta Pruning
- Appendix B An Introduction to Connectionism
- Appendix C The Language Acquisition Debate
- Notes
- Bibliography
- Author Index
- Subject Index
7 - Mathematical Models: Dynamical AI
Hume's Majestic Dream
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- List of Figures and Tables
- Preface
- Prologue
- 1 GPS: The Origins of AI
- 2 Deep Blue: Supercomputing AI
- 3 Cyborgs: Cybernetic AI
- 4 Cyc: Knowledge-Intensive AI
- 5 Coach and Chef: Case-Based AI
- 6 Language Learning: Connectionist AI
- 7 Mathematical Models: Dynamical AI
- 8 Cog: Neorobotic AI
- 9 Copycat: Analogical AI
- Epilogue
- Appendix A Minimax and Alpha-Beta Pruning
- Appendix B An Introduction to Connectionism
- Appendix C The Language Acquisition Debate
- Notes
- Bibliography
- Author Index
- Subject Index
Summary
Here is then the only expedient … to leave the tedious lingering method, which we have hitherto followed, and instead of taking now and then a castle or village on the frontier, to march up directly to the capital or center of these sciences, to human nature itself; which once being masters of, we may every where else hope for an easy victory.
– David Hume (1739): A Treatise of Human NatureComplex systems and processes evade simple analysis. Cognition, for example, is a complex process that emerges from the joint activity of the brain, the body, and the environment. Each of these is, in turn, a complex system with millions and billions of components – neurons, cells, individuals – which, to make things even more complex, are also diverse in form and capability. Would it not be ideal if we could treat all of these complex systems, subsystems, and sub-subsystems using a single analytical tool? Advocates of the dynamical approach in AI and cognitive science take this question seriously. Their approach is strongly motivated by the search for a universal tool – or, as Scott Kelso, a leading light in the dynamical school, has put it, for “a common vocabulary and theoretical framework within which to couch mental, brain, and behavioral events” (Kelso 1995).
Cognition, furthermore, is a temporal event, so it should be studied as such – that is, as a process that unfolds in time. This is a key intuition behind the dynamical approach.
- Type
- Chapter
- Information
- Artificial DreamsThe Quest for Non-Biological Intelligence, pp. 219 - 247Publisher: Cambridge University PressPrint publication year: 2008