Cooperative Artificial Intelligence (ICAMSAC 2023, Bali, Indonesia)

Beschreibung

Whether you believe in Artificial General Intelligence (AGI) where machines will stand in tandem with humans in their ability to reason, learn, solve problems, and make decisions or not, there will be a day not far in the future where machines need to cooperate, collaborate and even compete with other machines and humans to achieve the goals assigned to them. This will be the time when the interdependencies of activities of humans and machines need to be managed efficiently for which frameworks/tools are required. We call this framework "Cooperative Artificial Intelligence" or CAI for short. CAI is the study of the process of machines and humans working together toward a goal or goals using artificial intelligence approaches and tools. Advances in machine learning especially in the field of reinforcement learning focus on a single AI entity that acts in an environment where only one agent is doing the sensing, planning and decision making which fails to capture many real world scenarios in which an agent needs to make decisions in an environments that contains multiple actors/agents. In recent years, researchers approached the problem of cooperative artificial intelligence from two perspectives one is multi-agent reinforcement learning in which a zero-sum games are assumed most of the time and the second is the deployment of AI tools to facilitate human cooperation such as language translation, HCI, social networks, etc., in which the focus is on solving the problems of cooperation. The aim of this talk is to establish a solid theoretical foundation for Cooperative Artificial Intelligence and to elaborate on the machine learning concepts, tools and practices to promote human-AI cooperation.

Zeitraum	21 Nov. 2023
Ereignistitel	International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023), Udayana University, 21st – 22nd November 2023
Veranstaltungstyp	Konferenz
Ort	IndonesienAuf Karte anzeigen