Difference between revisions of "Negotiation"

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* [[Assistants]] ..[[Hybrid Assistants]]
 
* [[Assistants]] ..[[Hybrid Assistants]]
 
* [[Agents]]
 
* [[Agents]]
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* [[ChatGPT]] | [[OpenAI]]
 
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* [[Attention]] Mechanism/[[Transformer]] Model
 
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* [[Reinforcement Learning (RL) from Human Feedback (RLHF)]]
 
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* [[Proximal Policy Optimization (PPO)]]
 
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* [[Natural Language Generation (NLG)]]
 
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* [[Natural Language Tools & Services]]
 
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"Hybrid [[Assistants|assistants]]" or "hybrid chatbots" architecture links the [[Assistants|assistant]] to [[Agents|agent(s)]] when the [[Assistants|assistant]] is unable to answer a user's query, the conversation can be transferred to an software [[Agents|agent]] or live person to obtain the required information. The goal of this integration is to provide a seamless and efficient user experience, where the [[Assistants|assistant]] can handle simple inquiries and the [[Agents|agent(s)]] can handle more complex issues to improve user satisfaction.  The [[Assistants|assistant]] can interface with the software [[Agents|agent]] by sending and receiving data between the two systems. The [[Assistants|assistant]] acts as the interface for the user, receiving inputs and providing outputs, while the software [[Agents|agent]] performs actions based on the information received from the [[Assistants|assistant]].
 
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Here's an example of how a [[Assistants|assistant]] might interface with a software [[Agents|agent]]:
 
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* The user interacts with the [[Assistants|assistant]], providing information about a task they want to accomplish.
 
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* The [[Assistants|assistant]] processes the user's request and sends the relevant information to the software [[Agents|agent]].
 
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* The software [[Agents|agent]] performs the necessary actions based on the information received from the [[Assistants|assistant]], such as accessing a database, making calculations, or automating a process.
 
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* The software [[Agents|agent]] sends the results back to the [[Assistants|assistant]], which then presents the information to the user in a conversational format.
 
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This type of interface allows the [[Assistants|assistant]] to perform complex tasks and access information that might not be immediately available to the [[Assistants|assistant]] alone, while still providing the user with an easy-to-use conversational interface.
 
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= Negotiation =
 
 
* [[ChatGPT]] | [[OpenAI]]
 
* [[ChatGPT]] | [[OpenAI]]
 
* [[Gaming]]
 
* [[Gaming]]

Revision as of 22:45, 11 February 2023

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Meta

“An agent that can play at the level of humans in a game as strategically complex as Diplomacy is a true breakthrough for cooperative AI.” - Yann LeCun


Cicero couples a dialogue module with a strategic reasoning engine. Each turn, CICERO models the other players’ policies based on the game state and shared dialogue. It forms a plan, and the dialogue module generates messages conditional on the plan. Diplomacy is a game whose main element is negotiation. For this reason, in order for AI to play Diplomacy and win, ``talk with other players without discomfort and call for cooperation, ``interpret strategies from other players' negotiations, ``see other players' lies and It is necessary to perform difficult processing for existing AI, such as 'laying a lie to the player of'. In order to solve these problems, Meta uses both 'strategic reasoning' used in the strongest Go AI 'AlphaGo' and 'natural language processing' used in sentence generation AI 'GPT-3'. Meta develops AI ` Cicero ' that manipulates ` lies ' to deceive humans and bites into the top 10% of the friendship destruction game ` Diplomacy ' | Maxime Bonzi - Gigazine


Meta's new AI can beat human players at Diplomacy | Matt Cox - Rock Paper Shotgun ... It never "intentionally" lies

Google DeepMind

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