IEEE Signal Processing Magazine最新文献_第2页

IEEE Feedback IEEE 反馈

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3470088

引用次数: 0

Socially Intelligent Networks: A framework for decision making over graphs 社会智能网络：图上决策框架

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3431168

Virginia Bordignon;Vincenzo Matta;Ali H. Sayed

{"title":"Socially Intelligent Networks: A framework for decision making over graphs","authors":"Virginia Bordignon;Vincenzo Matta;Ali H. Sayed","doi":"10.1109/MSP.2024.3431168","DOIUrl":"https://doi.org/10.1109/MSP.2024.3431168","url":null,"abstract":"By “social learning,” in this article we refer to mechanisms for opinion formation and decision making over graphs and the study of how agents’ decisions evolve dynamically through interactions with neighbors and the environment. The study of social learning strategies is critical for at least two reasons. On one hand, it allows for a deeper understanding of the fundamental cognitive mechanisms that enable opinion formation over networks and the propagation of information or misinformation over them. On the other hand, these same learning strategies are effective for decision making by networked agents under challenging conditions, such as highly dynamic environments, nonstationary models and data, untruthful or malicious agents, sparsely connected graphs, and constrained communication. The article presents a unifying framework that covers several cases of interest, such as single-agent Bayesian learning, multiagent non-Bayesian learning, adaptive social learning, social machine learning, partial information sharing, influence discovery, and many others. The presentation highlights important limitations of the traditional social learning strategies. One limitation is the inability to track well drifting conditions. Traditional approaches lead to stubborn agents, which resist new states of information and are slow to react to changes in the environment, like an opinion that changes over time. Another limitation of the traditional strategies is that they assume perfect knowledge of the data models, which is seldom available in practice. The article illustrates recent advances that address these issues. We show how to endow multiagent networks with adaptation abilities and how to build social machine learning solutions that learn the necessary models directly from the data. These are fundamental steps toward the construction of socially intelligent networks, capable of exploiting cooperation and diversity across the agents to guarantee reliable learning performance under nonstationary, heterogeneous, and uncertain environments.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 4","pages":"20-39"},"PeriodicalIF":9.4,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142408900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ICIP 2024 ICIP 2024

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3464928

引用次数: 0

Incipit [President’s Message] 主席致辞

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3454940

Kostas Plataniotis

引用次数: 0

From Space-Central to Space-Time Balanced: A Perspective for Moore’s Law 2.0 and a Holistic Paradigm for Emergence [Perspectives] 从时空中心到时空平衡：摩尔定律 2.0 的视角和新兴的整体范式 [视角］

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3405110

Liming Xiu

{"title":"From Space-Central to Space-Time Balanced: A Perspective for Moore’s Law 2.0 and a Holistic Paradigm for Emergence [Perspectives]","authors":"Liming Xiu","doi":"10.1109/MSP.2024.3405110","DOIUrl":"https://doi.org/10.1109/MSP.2024.3405110","url":null,"abstract":"The history of electronics is studied from physical and evolutionary viewpoints, identifying a crisis of “space overexploitation.” This space-central practice is signified by Moore’s Law, the 1.0 version. Electronics is also examined in philosophical standing, leading to an awareness that a paradigm was formed around the late 1940s. It is recognized that this paradigm is of reductionist nature and consciousness is not ready to emerge therein. A new paradigm is suggested that diverts from the space-central practice to the foresight of putting space and time on equal footing. By better utilizing time, it offers a detour from the space crisis. Moreover, the paradigm is prepared for holism by balancing the roles of space and time. Integrating the entwined narratives of physical, evolutionary, and philosophical, an argument is made that, after decades of adventure, electronics is due for an overhaul. The two foundational pillars, space and time, ought to be used more meticulously to rectify the electronics edifice. This perspective of shifting from space-central to balanced space-time is proposed as Moore’s Law 2.0 and is embodied as second paradigm, a holistic one. The aim is to transcend reductionism to holism, paving the way for the likely emergence of consciousness.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"41 4","pages":"10-18"},"PeriodicalIF":9.4,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142409071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast Fourier Transform-Based Computation of Uniform Linear Array Beam Patterns [Tips & Tricks] 基于快速傅里叶变换的均匀线性阵列光束模式计算 [技巧与窍门］

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3436488

José Antonio Apolinário

引用次数: 0

Honoring Prof. Sophocles J. Orfanidis [In Memoriam] 纪念索福克勒斯-J-奥尔法尼蒂斯教授[悼念］

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3442648

Aggelos Bletsas

引用次数: 0

Interdisciplinarity: The Clear Path Forward [From the Editor] 跨学科：明确的前进道路 [编者的话］

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3465068

Tülay Adali

引用次数: 0

SP Media SP 媒体

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3464908

引用次数: 0

Calendar [Dates Ahead] 日历 [日期在前]

IF 9.4 1区工程技术

IEEE Signal Processing Magazine Pub Date : 2024-10-11 DOI: 10.1109/MSP.2024.3455968

引用次数: 0