Bio-Inspired Protocols for Embodied Multi-Agent Systems

Jesus, Vinicius Souza de; Pantoja, Carlos Eduardo; Manoel, Fabian; Alves, Gleifer Vaz; Viterbo, José; Bezerra, Eduardo

doi:10.5220/0010257803120320

Cited by 5 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It describes how the experience and knowledge obtained from social interactions and with the world can influence decision-making, reflected in a chain of plans and actions to achieve individual goals. Technologically, there are frameworks for developing intelligent agents that allow applications in different domains to be created, such as community [Pereira dos Santos et al 2016], biology [Souza de Jesus. et al 2021], social modeling [Rocha Costa 2022], among others.…”

Section: Introductionmentioning

confidence: 99%

Towards a Toolkit for Teaching AI Supported by Robotic-agents: Proposal and First Impressions

Lazarin¹,

Pantoja²,

Viterbo³

2023

Anais Do XXXI Workshop Sobre Educação Em Computação (WEI 2023)

View full text Add to dashboard Cite

Using hardware platforms combined with other paradigms stimulates learning and has become an apparent trend in education. The Multi-Agent Systems domain studies the use of autonomous entities to solve complex problems. When combined with the Belief-Desire-Intention (BDI), a cognitive model close to human thinking, it can contribute to facilitating the teaching of Artificial Intelligence (AI) and Computational Thinking (CT). This work presents a toolkit to support the teaching of AI supported by BDI intelligent agents using a prototyping approach. Four workshops were held at different levels, and a technological acceptance questionnaire was designed to analyze the proposed toolkit.

show abstract

Section: Introductionmentioning

confidence: 99%