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
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Giuseppe Biondi-Zoccai is a renowned expert in cardiology, medical research methodology and evidence synthesis
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.
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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...
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