Even in all their sophistication and complexity, artificial neural network models remain gross simplifications of the biological neural activity which they seek to model. In particular they fail to take into account the global and analogue effects of neurotransmitters and this has profound implications for the possibility of modelling a number of mental phenomena, including (crucially) attention and the emotions
MATT CARTER
55
375 reads
CURATED FROM
IDEAS CURATED BY
Matt Carter's Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence explores the philosophical questions surrounding AI, focusing on theories like computationalism and functionalism. It examines the relationship between human minds and computers, the nature of mental representation, and the potential of AI to replicate human cognition. This interdisciplinary approach is vital for understanding AI’s future in cognitive science.
“
Similar ideas
Modeling & AI
Mathematical modelling consists of 3 components:
- Assumptions: These are taken from our experience and intuition to be the basis of our thinking about a problem.
- Model: This is the representation of our assumptions in a way that we can reason (i...
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates