Robohub.org
 

ShanghAI Lectures 2012: Lecture 3 “Towards a theory of intelligence”


by
09 March 2013



share this:
ShanghAIGlobeColorSmall

In this lecture Rolf Pfeifer presents some first steps toward a “theory of intelligence”., followed by guest lectures by Vincent C. Müller (Anatolia College, Greece) on computers and cognition, and Alex Waibel (Karlsruhe Institute of Technology, Germany/Carnegie Mellon University, USA) who demonstrates a live lecture translation system.

The ShanghAI Lectures are a videoconference-based lecture series on Embodied Intelligence run by Rolf Pfeifer and organized by me and partners around the world.

Vincent C Müller: Computers Can Do Almost Nothing – Except Cognition (Perhaps)

The basic idea of classical cognitive science and classical AI is that if the brain is a computer then we could just reproduce brain function on different hardware. The assumption that this function (cognition) is computing has been much criticized; I propose to assume it is true and to see what would follow.

Let us take it as definitional that computing is ‘multiply realizable’: Strictly the same computing procedure can be realized on different hardware. (This is true if computing is understood as digital algorithmic procedures, in the sense of Church and Turing.) But in multiple realizations only the syntactic computational properties are retained from one realization to the other, while the physical and semantic properties may or may not be. So, even if the brain is indeed a computer, realizing it in different hardware might not have the desired effects because the hardware-dependent effects are not computational: Just computing can’t even switch on a red light; a computer model of an apple tree will not produce apples. But perhaps cognition is different. Is cognition one the properties that are retained in different realizations?

References:

 

Alex Waibel: Bridging the Language Divide

Related links:



tags: , , , , , , , , , , , , , ,


Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.
Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.





Related posts :



Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Robot Talk at the Smart City Robotics Competition

  22 Oct 2025
In a special bonus episode of the podcast, Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

  17 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Yuen Ting Chan from Natural History Museum about using robots to automate molecular biology experiments.

What’s coming up at #IROS2025?

  15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.

From sea to space, this robot is on a roll

  13 Oct 2025
Graduate students in the aptly named "RAD Lab" are working to improve RoboBall, the robot in an airbag.

Robot Talk Episode 128 – Making microrobots move, with Ali K. Hoshiar

  10 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Ali K. Hoshiar from University of Essex about how microrobots move and work together.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence