Agent talks about itself: an implementation using Jason, CArtAgO and Speech Acts

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2023-06-07 DOI:10.3233/IA-230005
V. Seidita, Angelo Maria Pio Sabella, Francesco Lanza, A. Chella
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Abstract

 Thinking to oneself is a prerogative of man when he needs to think about or repeat what he is doing or experiencing. It is a way of processing information and setting in motion a decision-making process. When this is done aloud, there is also a chance that someone else will understand the meaning or reasons for the action. Equipping an agent with the ability to reveal the reasons for its decisions is both a way to improve human interaction and a way to improve the triggering of a decision process. In this work, we propose to use the speech act to enable a coalition of agents to exhibit inner speech capabilities to explain their behavior, but also to guide and reinforce the creation of an inner model. The BDI agent paradigm, Jason, and CArtAgO are used to give agents the ability to act in a human-like manner. The BDI reasoning cycle has been extended to include inner speech. The proposed solution continues the research path that started with the definition of a cognitive model and architecture for human-robot teaming interaction and aims to integrate the believable interaction paradigm in it.
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Agent谈论自己:一个使用Jason、CArtAgO和Speech Acts的实现
当人需要思考或重复他正在做或经历的事情时,思考自己是他的特权。这是一种处理信息和启动决策过程的方式。当大声说出这个动作时,其他人也有机会理解这个动作的含义或原因。让一个智能体具备揭示其决策原因的能力,既是改善人际互动的一种方式,也是改善决策过程触发的一种方法。在这项工作中,我们建议使用言语行为,使代理人联盟能够表现出内部言语能力来解释他们的行为,同时也可以指导和加强内部模型的创建。BDI代理范式Jason和CArtAgO用于赋予代理以类似人类的方式行事的能力。BDI推理周期已经扩展到包括内心言语。所提出的解决方案延续了从定义人机团队交互的认知模型和架构开始的研究路径,并旨在将可信交互范式融入其中。
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
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