AI modelling pure animal instincts

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In summary, AI modelling of pure animal instincts involves using artificial intelligence to replicate and simulate the innate behaviors and instincts of animals. This process involves analyzing and studying the behaviors of various animals and creating algorithms and models that mimic their actions and decision-making processes. This technology has potential applications in various fields, such as animal behavior research, wildlife conservation, and even robotics. By studying and replicating pure animal instincts, AI can potentially enhance our understanding of the natural world and aid in the development of advanced technologies.
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Ephant
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When AI is mentioned, it is about trying to simulate human thinking. But how about an AI that can model pure animals like Lions. What do you call AI that simulates raw animal instinct.

While I'm at it (animal). I'd like to know the following.

1. When Lions eat the Buffalo alive. Are Lions aware they are killing other creatures? If yes, how does it differ to murderers? I mean, when murderers kill their victims. Are they considered as a Lion?

2. Do animals like Lions, tigers, Hyenas see other creatures like we see fried chicken already cooked that have 2 feet that can for example run. And so imagine all the animals are already cooked but alive. We can try to catch them and eat them immediately? Just want to know what is in the mind of animals when they hunt other animals and eat them immediately.

3. Would Androids with pure animal instinct without thinking be indistinguishable from animals like Lions? This is in order to understand the entire neural underpinnings or networks of animals. So far, what insect or animals can our AI fully simulate such that it can act like a real fly with behavior like that of a fly?
 
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Ephant said:
Are Lions aware they are killing other creatures?
For sure they understand that after they act, something that was isn't the same anymore. What do you think when you remove a carrot from the ground and eat it? Do you realize you have just killed it?
Ephant said:
If yes, how does it differ to murderers?
Murder is a human concept where a law must be involved: It is murder when killing is forbidden by a law.
Ephant said:
Just want to know what is in the mind of animals when they hunt other animals and eat them immediately.
Most likely they look at it just like you look at an apple in a tree or a carrot in the ground.

Also, note that there is often more than a "food source" point of view for the animal, even though it is most likely the endpoint. For example, animals will often hunt even when they are already well-fed. It's in their DNA, the hunt gives them pleasure and they cannot resist the urge.
Ephant said:
This is in order to understand the entire neural underpinnings or networks of animals.
I don't think animals are so much different from humans. They also think up to a certain level. How else can a cat learn to open a door on its own?

 
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Ephant said:
1. When Lions eat the Buffalo alive. Are Lions aware they are killing other creatures? If yes, how does it differ to murderers? I mean, when murderers kill their victims. Are they considered as a Lion?
Did you take into account that the animals that human beings eat have to be killed first?

If your idea is to bring back criminal trials for animals, you perhaps should read this first

https://en.m.wikipedia.org/wiki/Animal_trial
 
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Lion?

You understand that the best AI might be almost as smart as a flatworm, right?
 
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Ephant said:
2. Do animals like Lions, tigers, Hyenas see other creatures like we see fried chicken already cooked that have 2 feet that can for example run. And so imagine all the animals are already cooked but alive. We can try to catch them and eat them immediately? Just want to know what is in the mind of animals when they hunt other animals and eat them immediately.
Have you ever been hunting? When you hunt with a rifle or pistol or shotgun or bow or knife, you are doing your best to kill your prey with the intention of eating it later. They never look cooked while you are hunting; they are doing their best to hide or get away, and you are doing your best to find them and not let them get away.

There are certainly times when you cook and eat your prey the same day there in the field, but more often you bring it back home for the feasting.

I get the feeling that you have little experience with both hunting and AI...
 
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Had a friend get a moose license. Never bagged one, but if he did, shooting one is only the first of your problems.
 
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PeroK said:
If your idea is to bring back criminal trials for animals, you perhaps should read this first
Not sure if it has gone away
as an example,
dog bites woman <-- provoked or unprovoked attack, circumstance and character of the animal can come into play

A wild animal would usually not put on trial for an incident, but given by living decree a status as a group, say as being protected, vermin, or something other.

I would tend to think the evolution of the human legal system , in part due to adaptation of property rights and tort law over the centuries, does involve the legal status of animals.
 
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Ephant said:
Just want to know what is in the mind of animals when they hunt other animals and eat them immediately.
What is in your mind when you go hunting for food at the store.

Think deeply instead of just off the cuff " deep fried chicken' for my family.
 
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berkeman said:
Have you ever been hunting?
1704065188585.png
 
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The bottom line is. Before we can create pure AI that think like us (for example, replacing your lover with AI and indistinguishable from human). You need to create AI based on animals first. Is it not?
 
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Thread is closed for Moderation. Lordy.
 
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After a Mentor discussion, this thread is done.
 
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FAQ: AI modelling pure animal instincts

What is AI modeling of pure animal instincts?

AI modeling of pure animal instincts involves creating artificial intelligence systems that can replicate or simulate the natural behaviors and responses of animals. This can include instinctual actions such as hunting, mating, fleeing from predators, and other survival behaviors. The goal is to understand these instincts better and potentially apply this knowledge in fields like robotics, conservation, and behavioral science.

How do researchers gather data for AI models of animal instincts?

Researchers gather data through various methods such as direct observation, video recordings, GPS tracking, and sensor data from animals in their natural habitats. They may also use controlled experiments in laboratory settings to record specific behaviors. This data is then analyzed and used to train AI models to recognize and replicate these behaviors.

What are the potential applications of AI models that simulate animal instincts?

Potential applications include enhancing wildlife conservation efforts by predicting animal movements and behaviors, improving the realism of virtual environments and video games, developing better animal-robot interactions, and advancing the field of robotics by incorporating instinctual behaviors for more natural and adaptive robotic responses.

What challenges do scientists face in AI modeling of animal instincts?

Challenges include the complexity and variability of animal behaviors, the difficulty of accurately capturing and interpreting data from animals, ethical considerations in data collection and experimentation, and the computational demands of creating and training sophisticated AI models. Additionally, ensuring that the AI models are generalizable across different species and environments can be difficult.

How accurate are current AI models in replicating animal instincts?

The accuracy of current AI models in replicating animal instincts varies widely depending on the species, the specific behaviors being modeled, and the quality of the data used. While there have been significant advancements, many models still struggle with the nuances and unpredictability of real animal behavior. Continuous improvements in data collection techniques, machine learning algorithms, and computational power are helping to enhance the accuracy and reliability of these models.

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