8
votes
Is AI living or non-living?
You're unsure about the definition of life (which the other answers clarify) but also most people are unclear about the definition of AI. Do you mean an AI that can accomplish a routine task (such as ...
7
votes
How do artificial neural networks store data compared to biological neural networks?
Second question first: Data is stored in an ANN in the form of weights in the adjacency matrix between neurons. During training, these weights are updated by a learning algorithm (such as ...
6
votes
Is Artificial Intelligence restricted to electrical based technology?
Not yet. Synthetic virology / Synthetic life are still in their infancy.
We can now synthesize simple bacteria (see Craig Venter's fascinating TED talk and also an article about his recent work) but ...
6
votes
Is Artificial Intelligence restricted to electrical based technology?
Any logic circuit admits a variety of implementations. All programs executing on conventional digital processors can be expressed as logic circuits. Among the possible implementations of logic ...
5
votes
Is artificial life really life or not?
"Life" is a definition humans use to classify objects according to the types of behavior humans perceive as unique to living creatures.
Scientists and philosophers tend to define something ...
5
votes
Is artificial life really life or not?
If you read Steven Levy's book, Artificial Life,you will find, as I did,
the distinction between biological and "artificial" life blurred. If you think about it, what exactly is "life", anyway? A ...
5
votes
Is Artificial Intelligence restricted to electrical based technology?
No, I think electricity is not essential for AI. In theory AI (a sufficient collection of computational processes that can adapt to changes in their input, thus producing 'intelligent' behavior), ...
5
votes
Accepted
What is the importance of the endocannabinoid system for cognitive function?
The release of Adenosine, Dopamine, Endorphin, Endocannabinoids, GABA, Glutamate, Norepinephrine, Oxytocin, Serotonin, and many others into specific regions of the brain are very likely an essential ...
5
votes
What would be a good comprehensive source about the different forms of classical learning in mammals?
I recommend Animal Learning and Cognition: An Introduction by John Pearce.
As an introduction to the field, it's comprehensive. It covers all the topics you mentioned and more. Here is a free preview ...
4
votes
Accepted
Which artificial neural network can mimic biological neurons the most?
Only a small portion of the habituation, sensitization, and classical conditioning behavior of neurons has been primitively simulated in ANN systems. Simulation of actin cytoskeletal machinery1 and ...
4
votes
Is AI living or non-living?
What is life? AND Is AI a living organism? are two different questions.
The first question is more philosophical and dependent. It can change with time, reference to topic of discussion or something ...
4
votes
Accepted
What's the difference between biological and artificial evolution?
Biological and artificial evolution work around pretty much the same principles.
Fitness and selection: In biology, the fittest organisms in an ecosystem are more likely to survive long enough to ...
4
votes
Is AI living or non-living?
Artificial intelligence by definition is the intelligence exhibited by machines. The definition of life in biological terms is the condition that distinguishes organisms from inorganic matter where ...
4
votes
Accepted
How do biological neurons weights get initialized?
In short
I mentioned in another post, how the Artificial Neural Network (ANN) weights are a relatively crude abstraction of connections between neurons in the brain. Similarly, the random weight ...
3
votes
Is artificial life really life or not?
Wikipedia describes life as a characteristic of "physical entities having biological processes". The same source also describes a simulation as "the imitation of the operation of a real-world process ...
3
votes
Is artificial life really life or not?
I like to take an "animist" approach. (It has been suggested to me that part of the reason Japanese designs are so effective is because of the cultural affinity for the concept per the Shinto ...
3
votes
Is AI living or non-living?
A common predilection of what many presume extraterrestrial life is fits general descriptions specific to terrestrial life. No guarantee exists providing for potential extraterrestrial life having any ...
3
votes
How to model inhibitory synapses in the artificial neuron?
Principles of Computational Modelling in Neuroscience by David Sterratt, Bruce Graham, Andrew Gillies and David Willshaw discuss it in Chapter 7 (The synapse) and also in Chapter 8 (Simplified models ...
3
votes
Are Modular Neural Networks more effective than large, monolithic networks at any tasks?
There is indeed an investigation in progress, regarding this topic. A first publication from last march noted that modularity has been done, although not explicitly, since some time ago, but somehow ...
3
votes
Which loss function is the brain optimizing in order to learn advanced visual skills without expert/human supervision?
I think you are slightly confusing 2 problems. 1 being classification of meta visual elements and the other being the visual system itself.
Our visual system, when it comes to processing information, ...
3
votes
Accepted
What effect does a negative output of a neuron have on neighbouring neurons?
In the case of artificial neural networks, your question can be (partially) answered by looking at the definition of the operation that an artificial neuron performs. An artificial neuron is usually ...
2
votes
Accepted
How machine learning can help with sustainable development and biological conservation?
There are a variety of aspects where AI can help for the public good. Future studies of computational methods can contribute to a sustainable management ecosystem by its data acquisition, ...
2
votes
Which artificial neural network can mimic biological neurons the most?
ANNs approximate biological neuronal networks. The approximation began with extreme simplicity in the early perceptron design. Spiking networks are examples of more accurate approximations. More ...
2
votes
Which artificial neural network can mimic biological neurons the most?
Most artificial neurons model biological neurons but in a very simplistic way. Nowadays, the main aim is to achieve better performance at prediction tasks. However, there is a body of literature in ...
Community wiki
2
votes
Is AI living or non-living?
One of the most common requirements to be defined as life is abbreviated to MRS GREN
this means:
M - movement
R - respiration
S - sensitivity
G - growth
R - reproduce
E - excretion
N - nutrition
...
2
votes
Is AI living or non-living?
A definition of life
The property or quality that distinguishes living organisms from dead organisms and inanimate matter, manifested in functions such as metabolism, growth, reproduction, and ...
2
votes
Is artificial life really life or not?
It wouldn't be considered alive if it doesn't have vital functions, such as nutrition, relation with the environment, and reproduction. While the first is easy (use a battery) and the second is the ...
2
votes
Accepted
Motivation that drives a rogue AI agent
Today, prominent machine learning techniques involve trying to minimize some cost function. In many simple cases this cost function is easy to specify, for instance, linear regression is simply trying ...
2
votes
Is artificial life really life or not?
Imho, it is life.
Example: consider the possibility that we synthesized from completethe DNA of a human being, with zero atoms from another human, and grew said human in a lab. Most (and myself) ...
2
votes
How to model inhibitory synapses in the artificial neuron?
The Degree to Which Inhibition is in Common Use
What could loosely be considered inhibitory effect occurs in MLPs (multilayer perceptrons) as they are normally designed and implemented already.
The ...
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