Results 71 to 80 of about 16,842 (315)

A Replaceable Curiosity-Driven Candidate Agent Exploration Approach for Task-Oriented Dialog Policy Learning

IEEE Access
Task-oriented dialog policy learning is often formulated as a Reinforcement Learning problem whose rewards from the environment are extremely sparse, which means that the agent will often not find the reward by acting randomly.
Xuecheng Niu, Akinori Ito, Takashi Nose
doaj   +1 more source

A Multimodal Emotion Detection System during Human–Robot Interaction

Sensors, 2013
In this paper, a multimodal user-emotion detection system for social robots is presented. This system is intended to be used during human–robot interaction, and it is integrated as part of the overall interaction system of the robot: the Robotics Dialog ...
Miguel A. Salichs, Javier F. Gorostiza, João Sequeira, María Malfaz, Fernando Alonso-Martín   +4 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Quick Starting Dialog Systems with Paraphrase Generation [PDF]

, 2022
Louis Marceau, Raouf Moncef Belbahar, Marc Queudot, Éric Charton, Marie‐Jean Meurs, Meurs, Marie-Jean   +5 more
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Digital Agriculture: Past, Present, and Future

Advanced Intelligent Discovery, EarlyView.
Digital agriculture integrates Internet of Things, artificial intelligence, and blockchain to enhance efficiency and sustainability in farming. This review outlines its evolution, current applications, and future directions, highlighting both technological advances and key challenges for global implementation.
Xiaoding Wang, Chengxian Wu, Qibin Wu, Youxiong Que   +3 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

How whatsappization of the chatbot affects perceived ease of use, perceived usefulness, and attitude toward using in a drive-sharing task

Computers in Human Behavior Reports
With the advent of large language models, a spotlight has been turned onto chatbots. Utilizing the Technology Acceptance Model (TAM), we investigated whether whatsappization of the chatbot – making the conversation more resemble a WhatsApp conversation –
Nirit Yuviler-Gavish, Rotem Halutz, Liad Neta   +2 more
doaj   +1 more source

Luhmann, Lotman and the problem of boundary: a critical reflexion of the theoretical categories of inclusion and exclusion

Revista de Ciências Humanas, 2016
This paper intends to give insight to the recent debate in Germany about inclusion and exclusion and the existing difficulties in the scientific discussion with both categories, especially concerning a theoretical definition.
Jan Steffens, Suene de Souza Dantas
doaj   +1 more source