The society of mind
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
On designing a visual system# (towards a Gibsonian computational model of vision)
Journal of Experimental & Theoretical Artificial Intelligence
Today the earwig, tomorrow man?
Artificial Intelligence
Computing machinery and intelligence
Computers & thought
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
The Cognitive Brain
A Computer Model of Skill Acquisition
A Computer Model of Skill Acquisition
Kantian Philosophy of Mathematics and Young Robots
Proceedings of the 9th AISC international conference, the 15th Calculemas symposium, and the 7th international MKM conference on Intelligent Computer Mathematics
What enables a machine to understand?
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
A versatile computer-controlled assembly system
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
The altricial-precocial spectrum for robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Robotics and Autonomous Systems
Creating Brain-Like Intelligence
Creating Brain-Like Intelligence
Nonverbal robot-group interaction using an imitated gaze cue
Proceedings of the 6th international conference on Human-robot interaction
Emotional contribution process implementations on parallel processors
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part II
Communications of the ACM
Biological, computational and robotic connections with Kant's theory of mathematical knowledge
AI Communications - ECAI 2012 Turing and Anniversary Track
Hi-index | 0.02 |
Some issues concerning requirements for architectures, mechanisms, ontologies and forms of representation in intelligent human-like or animal-like robots are discussed. The tautology that a robot that acts and perceives in the world must be embodied is often combined with false premises, such as the premiss that a particular type of body is a requirement for intelligence, or for human intelligence, or the premiss that all cognition is concerned with sensorimotor interactions, or the premiss that all cognition is implemented in dynamical systems closely coupled with sensors and effectors. It is time to step back and ask what robotic research in the past decade has been ignoring. I shall try to identify some major research gaps by a combination of assembling requirements that have been largely ignored and design ideas that have not been investigated --- partly because at present it is too difficult to make significant progress on those problems with physical robots, as too many different problems need to be solved simultaneously. In particular, the importance of studying some abstract features of the environment about which the animal or robot has to learn (extending ideas of J.J.Gibson) has not been widely appreciated.