INTRODUCING COGNISIM
INTRODUCING COGNISIM
INTRODUCING COGNISIM
INTRODUCING COGNISIM
A look at how CogniSim is transforming strategy gaming with adaptive, AI-driven experiences.
JONAS BJERING
Chief Creative Officer
3
MIN READ
Imagine being able to pick up and play a deep and complex strategy game with thousands of intelligent agents, anytime you want, tailored exactly to your preferences. These agents are designed for your enjoyment, with their skill and behavior tailored to provide exactly the experience you seek. As you can accelerate time and restart the game whenever you want to, you are free to experiment and find strategies you enjoy.
This is the promise the future holds for strategy gamers.
It is not a question of if, it is a question of when.
We founded CogniSim to make this happen sooner.
CogniSim is a deep-tech game studio startup, and our mission is to reinvent strategy gaming by implementing cutting-edge AI.
As a programmer, I have a special appreciation for the word implementing. While we do embrace and use the most recent AI tools whenever they help us, that is not what defines us. We are about building something new and unique - something we believe is possible thanks to the recent advances of machine learning algorithms when implementing our AI agents.
We want to create complex strategy games that offer deep and meaningful choices. This means games full of interesting, interwoven systems that reflect the richness of strategic choices encountered in the real world.
Many fascinating real-life phenomena only emerge at a certain level of complexity, in particular, many phenomena require large groups of people to interact. To simulate these phenomena well, we need intelligent agents that can be implemented in a computationally efficient manner.
When done correctly, this allows us to create games that capture the intricate interactions of real-world systems, resulting in completely new and exciting player experiences.
Deep reinforcement learning offers a way to develop such agents, through self-play they learn to navigate complex game systems effectively.
We firmly believe that the space of computationally feasible simulation games has expanded significantly due to the recent revolution in machine learning. Machine learning algorithms in inference mode are far more efficient than many traditional AI methods, and modern hardware is well-suited to run them. This efficiency allows us to design ambitious simulations that remain feasible. Building games in this expanded space represents a tremendous opportunity to give players something completely new.
We are incredibly excited to take on this challenge and we welcome you along on our journey. We do not expect this to be easy and frequent feedback from future players will be essential. We look forward to working closely with our community.
Imagine being able to pick up and play a deep and complex strategy game with thousands of intelligent agents, anytime you want, tailored exactly to your preferences. These agents are designed for your enjoyment, with their skill and behavior tailored to provide exactly the experience you seek. As you can accelerate time and restart the game whenever you want to, you are free to experiment and find strategies you enjoy.
This is the promise the future holds for strategy gamers.
It is not a question of if, it is a question of when.
We founded CogniSim to make this happen sooner.
CogniSim is a deep-tech game studio startup, and our mission is to reinvent strategy gaming by implementing cutting-edge AI.
As a programmer, I have a special appreciation for the word implementing. While we do embrace and use the most recent AI tools whenever they help us, that is not what defines us. We are about building something new and unique - something we believe is possible thanks to the recent advances of machine learning algorithms when implementing our AI agents.
We want to create complex strategy games that offer deep and meaningful choices. This means games full of interesting, interwoven systems that reflect the richness of strategic choices encountered in the real world.
Many fascinating real-life phenomena only emerge at a certain level of complexity, in particular, many phenomena require large groups of people to interact. To simulate these phenomena well, we need intelligent agents that can be implemented in a computationally efficient manner.
When done correctly, this allows us to create games that capture the intricate interactions of real-world systems, resulting in completely new and exciting player experiences.
Deep reinforcement learning offers a way to develop such agents, through self-play they learn to navigate complex game systems effectively.
We firmly believe that the space of computationally feasible simulation games has expanded significantly due to the recent revolution in machine learning. Machine learning algorithms in inference mode are far more efficient than many traditional AI methods, and modern hardware is well-suited to run them. This efficiency allows us to design ambitious simulations that remain feasible. Building games in this expanded space represents a tremendous opportunity to give players something completely new.
We are incredibly excited to take on this challenge and we welcome you along on our journey. We do not expect this to be easy and frequent feedback from future players will be essential. We look forward to working closely with our community.
Imagine being able to pick up and play a deep and complex strategy game with thousands of intelligent agents, anytime you want, tailored exactly to your preferences. These agents are designed for your enjoyment, with their skill and behavior tailored to provide exactly the experience you seek. As you can accelerate time and restart the game whenever you want to, you are free to experiment and find strategies you enjoy.
This is the promise the future holds for strategy gamers.
It is not a question of if, it is a question of when.
We founded CogniSim to make this happen sooner.
CogniSim is a deep-tech game studio startup, and our mission is to reinvent strategy gaming by implementing cutting-edge AI.
As a programmer, I have a special appreciation for the word implementing. While we do embrace and use the most recent AI tools whenever they help us, that is not what defines us. We are about building something new and unique - something we believe is possible thanks to the recent advances of machine learning algorithms when implementing our AI agents.
We want to create complex strategy games that offer deep and meaningful choices. This means games full of interesting, interwoven systems that reflect the richness of strategic choices encountered in the real world.
Many fascinating real-life phenomena only emerge at a certain level of complexity, in particular, many phenomena require large groups of people to interact. To simulate these phenomena well, we need intelligent agents that can be implemented in a computationally efficient manner.
When done correctly, this allows us to create games that capture the intricate interactions of real-world systems, resulting in completely new and exciting player experiences.
Deep reinforcement learning offers a way to develop such agents, through self-play they learn to navigate complex game systems effectively.
We firmly believe that the space of computationally feasible simulation games has expanded significantly due to the recent revolution in machine learning. Machine learning algorithms in inference mode are far more efficient than many traditional AI methods, and modern hardware is well-suited to run them. This efficiency allows us to design ambitious simulations that remain feasible. Building games in this expanded space represents a tremendous opportunity to give players something completely new.
We are incredibly excited to take on this challenge and we welcome you along on our journey. We do not expect this to be easy and frequent feedback from future players will be essential. We look forward to working closely with our community.
