1 / 10

Commentary on Searle

Commentary on Searle. David Florey. Fodor’s Commentary. On Robot’s Why place the man inside instead of the computer? This is not the right kind of causal linkage, but it’s tough to say what is Causal relations of the right kind Why is it that only our brains maintain causal relations?

wildman
Download Presentation

Commentary on Searle

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Commentary on Searle David Florey

  2. Fodor’s Commentary • On Robot’s • Why place the man inside instead of the computer? • This is not the right kind of causal linkage, but it’s tough to say what is • Causal relations of the right kind • Why is it that only our brains maintain causal relations? • How are thoughts made up of hydrocarbons so unique? • Can I not also hold that thought in some other form?

  3. Fodor’s Commentary • On formal systems • What of the work in linguistics? • Searle claims that “no purely formal model will ever be sufficient for intentionality because the formal properties are not by themselves constitutive of intentionality” • But, our minds work over symbols • In other words our mental processes, our intentions use symbols • How can Searle claim that this is not a necessary condition for mental processing?

  4. Haugeland’s Commentary • Focusing on the right causal powers • Searle’s Demon (a super fast man) • Performs according to the “right” causal powers • Can take the place of neuron communication • Can take the place of chlorophyll • Does he not have the “right causal powers?” • Of course he does • Searle skates a thin line when discussing the right “stuff” • Humans, or perhaps aliens – but NOT computers! • What about silicon-based aliens?

  5. Haugeland’s Commentary • Original vs derivative intentionality • Original is intentionality “in its own right” • Humans have this • Searle argues that computers can never have this • Derivative is intentionality “borrowed from” something • Linguistic tokens have this • Computers/programs can also have this • Haugeland argues that semantically active states constitute the “right” causal power for original intentionality • Therefore, he argues, AI Systems can be intelligent

  6. Hofstadter’s Commentary • Searle does not believe a soul can exist in a machine • And what of the formal systems that make us up? • Physics is a formal system and our brains work within this formal system • How can we have intentionality then if we are built on stuff that has none?

  7. Hofstadter’s Commentary • And what of the little man? • This is an emotional ploy • You feel for the little man toiling hard all day to pretend he is a machine

  8. Lycan’s Commentary • Behaviorism • If it walks and talks like a duck… • Species-chauvinistic view “functionalist” • Not good enough • It must process information in the same manner that we do as well

  9. Lycan’s Commentary • Where is the understanding in this system? • You are too small, looking at the pipes and water • Forget the little man • What if the pipes were neurons and the water electricity? • While present day computers don’t have this capability • Nothing says future computers could not • The point is that present day computers are not forced through the same environment as us

  10. Minsky’s Commentary • Decentralized Minds • We seem to have many minds (those that understand certain abstract terms and those that don’t) • Perhaps Searle’s model is too simple – where is the collaboration of the many minds? • Caution of Terminology • Using terms like “mean” and “intend” • One the one hand we understand these terms, but on the other its hard to draw a concrete representation • Caution of Bad Logic • Look to new empirical studies to better understand the discussion not only of AI • But also of our own minds

More Related