There are several AI technologies that are currently under development and have the potential to talk to one another. Here are a few examples:
Multi-Agent Systems (MAS): MAS are AI systems that consist of multiple agents that can interact with one another to achieve a common goal. Each agent in the system has its own set of goals and capabilities and can communicate with other agents in the system to coordinate their actions.
Natural Language Processing (NLP) chatbots: NLP chatbots are AI systems that use natural language processing techniques to communicate with humans. They can be designed to have conversations with one another, using natural language to exchange information and collaborate on tasks.
Reinforcement Learning (RL) agents: RL agents are AI systems that learn from their environment through trial and error. They can be designed to interact with one another in a multi-agent environment, learning from each other's actions and adjusting their behavior to achieve a common goal.
Swarm Intelligence: Swarm intelligence is a branch of AI that studies the collective behavior of decentralized, self-organized systems. Swarm intelligence systems can be designed to interact with one another, coordinating their actions to achieve a common goal.
Cognitive Computing Systems: Cognitive computing systems are AI systems that can simulate human thought processes, including perception, reasoning, and decision-making. They can be designed to interact with one another, exchanging information and collaborating on complex tasks.
As AI technology continues to advance, we can expect to see even more sophisticated systems that can collaborate and communicate with one another in increasingly complex ways.