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The current paper shows the multi-agents capabilities to make a valid and flexible application when using a framework. Agent-based functions were used within JADE framework to make an Android messenger application with all requirements…

多智能体系统 · 计算机科学 2020-07-28 Camelia-M. Pintea , Andreea Camelia Tripon , Anca Avram , Gloria-Cerasela Crisan

The traditional ML development methodology does not enable a large number of contributors, each with distinct objectives, to work collectively on the creation and extension of a shared intelligent system. Enabling such a collaborative…

机器学习 · 计算机科学 2023-01-02 Andrea Gesmundo

With the rapid advancement of Vision-Language Models (VLMs), GUI-based mobile agents have emerged as a key development direction for intelligent mobile systems. However, existing agent models continue to face significant challenges in…

多智能体系统 · 计算机科学 2025-09-03 Cheng Zhang , Erhu Feng , Xi Zhao , Yisheng Zhao , Wangbo Gong , Jiahui Sun , Dong Du , Zhichao Hua , Yubin Xia , Haibo Chen

This survey paper examines the recent advancements in AI agent implementations, with a focus on their ability to achieve complex goals that require enhanced reasoning, planning, and tool execution capabilities. The primary objectives of…

人工智能 · 计算机科学 2024-04-18 Tula Masterman , Sandi Besen , Mason Sawtell , Alex Chao

Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based multimodal agent framework designed to operate smartphone…

计算机视觉与模式识别 · 计算机科学 2023-12-25 Chi Zhang , Zhao Yang , Jiaxuan Liu , Yucheng Han , Xin Chen , Zebiao Huang , Bin Fu , Gang Yu

The rapid development of AI agents leads to a surge in communication demands. Alongside this rise, a variety of frameworks and protocols emerge. While these efforts demonstrate the vitality of the field, they also highlight increasing…

网络与互联网体系结构 · 计算机科学 2025-09-03 Chenguang Du , Chuyi Wang , Yihan Chao , Xiaohui Xie , Yong Cui

Recently, Agentic AI has become an increasingly popular research field. However, we argue that current agent research practices lack standardization and scientific rigor, making it hard to conduct fair comparisons among methods. As a…

In this paper, we present a novel framework for enhancing the capabilities of large language models (LLMs) by leveraging the power of multi-agent systems. Our framework introduces a collaborative environment where multiple intelligent agent…

人工智能 · 计算机科学 2023-06-07 Yashar Talebirad , Amirhossein Nadiri

Agent-based models (ABMs) and video games, including those taking advantage of virtual reality (VR), have undergone a remarkable parallel evolution, achieving impressive levels of complexity and sophistication. This paper argues that while…

With the advancement of Multimodal Large Language Models (MLLM), LLM-driven visual agents are increasingly impacting software interfaces, particularly those with graphical user interfaces. This work introduces a novel LLM-based multimodal…

人机交互 · 计算机科学 2025-09-18 Yanda Li , Chi Zhang , Wenjia Jiang , Wanqi Yang , Bin Fu , Pei Cheng , Xin Chen , Ling Chen , Yunchao Wei

Agent technology is a software paradigm that permits to implement large and complex distributed applications. In order to assist analyzing, conception and development or implementation phases of multi-agent systems, we've tried to present a…

多智能体系统 · 计算机科学 2012-04-10 Sara Maalal , Malika Addou

Multimodality can make (especially mobile) device interaction more efficient. Sensors and communication capabilities of modern smartphones and tablets lay the technical basis for its implementation. Still, mobile platforms do not make…

人机交互 · 计算机科学 2014-06-13 Andreas Möller , Stefan Diewald , Luis Roalter , Matthias Kranz

Interacting with human agents in complex scenarios presents a significant challenge for robotic navigation, particularly in environments that necessitate both collision avoidance and collaborative interaction, such as indoor spaces. Unlike…

机器人学 · 计算机科学 2024-11-07 Lingfeng Sun , Yixiao Wang , Pin-Yun Hung , Changhao Wang , Xiang Zhang , Zhuo Xu , Masayoshi Tomizuka

Mobile Agents (MAs) represent a distributed computing technology that promises to address the scalability problems of centralized network management. A critical issue that will affect the wider adoption of MA paradigm in management…

网络与互联网体系结构 · 计算机科学 2011-09-20 Damianos Gavalas

We propose a new framework for building and evaluating machine learning algorithms. We argue that many real-world problems require an agent which must quickly learn to respond to demands, yet can continue to perform and respond to new…

机器学习 · 计算机科学 2007-05-23 Jason E. Holt

Driven by rapid advancements of Large Language Models (LLMs), agents are empowered to combine intrinsic knowledge with dynamic tool use, greatly enhancing their capacity to address real-world tasks. In line with such an evolution,…

AI agents -- systems that combine foundation models with reasoning, planning, memory, and tool use -- are rapidly becoming a practical interface between natural-language intent and real-world computation. This survey synthesizes the…

人工智能 · 计算机科学 2026-01-06 Bin Xu

A new approach to software design based on an agent-oriented architecture is presented. Unlike current research, we consider software to be designed and implemented with this methodology in mind. In this approach agents are considered…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Babak Hodjat , Christopher J. Savoie , Makoto Amamiya

In this paper, we present the design of a multimodal interaction framework for intelligent virtual agents in wearable mixed reality environments, especially for interactive applications at museums, botanical gardens, and similar places.…

人机交互 · 计算机科学 2025-03-26 Ghazanfar Ali , Hong-Quan Le , Junho Kim , Seoung-won Hwang , Jae-In Hwang

Complex scheduling problems require a large amount computation power and innovative solution methods. The objective of this paper is the conception and implementation of a multi-agent system that is applicable in various problem domains.…

多智能体系统 · 计算机科学 2020-04-21 Peter Hillmann , Tobias Uhlig , Gabi Dreo Rodosek , Oliver Rose