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IEEE Intelligent Systems

Issue 1 • Jan.-Feb. 2017

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Displaying Results 1 - 22 of 22
  • Front Cover 
  • Front Cover

    Publication Year: 2017, Page(s): c1
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  • IEEE Computer Society Harlan D. Mills Award

    Publication Year: 2017, Page(s): c2
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  • Table of Contents 
  • Table of Contents

    Publication Year: 2017, Page(s):1 - 2
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  • A Letter from the Editor 
  • The Golden Age of AI

    Publication Year: 2017, Page(s):3 - 4
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  • Guest Editors' Introduction 
  • AI and Economics [Guest editors' introduction]

    Publication Year: 2017, Page(s):5 - 7
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  • AI and Economics 
  • Agent Failures in All-Pay Auctions

    Publication Year: 2017, Page(s):8 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB) | HTML iconHTML

    All-pay auctions, a common mechanism for various human and agent interactions, suffers (like many other mechanisms) from the possibility of players' failure to participate in the auction. The authors model such failures and fully characterize equilibrium for this class of games, presenting a symmetric equilibrium and showing that under some conditions the equilibrium is unique. They also reveal va... View full abstract»

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  • Cooperation and Competition When Bidding for Complex Projects: Centralized and Decentralized Perspectives

    Publication Year: 2017, Page(s):17 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (319 KB) | HTML iconHTML

    To successfully complete a complex project, agents (companies or individuals) must form a team with the required competencies and resources. A team can be formed either by the project issuer based on individual agents' offers (centralized formation) or by the agents themselves (decentralized formation) bidding for a project as a consortium. The authors investigate rational strategies for agents, p... View full abstract»

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  • Mechanism Design for Demand-Side Management

    Publication Year: 2017, Page(s):24 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (387 KB) | HTML iconHTML

    As the penetration of renewables into the grid increases, so do the uncertainty and constraints that need to be taken into account during demand-side management (DSM). Mechanism design (MD) provides effective DSM solutions that incorporate end-user preferences and uncertain capabilities, without jeopardizing comfort. The authors discuss the state of the art in DSM methods, which they broadly class... View full abstract»

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  • An Algorithm for the Myerson Value in Probabilistic Graphs with an Application to Weighted Voting

    Publication Year: 2017, Page(s):32 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (470 KB) | HTML iconHTML

    Myerson's graph-restricted games are a well-known formalism for modeling cooperation that's subject to restrictions. In particular, Myerson considered a coalitional game in which cooperation is possible only through an underlying network of links between agents. A unique fair solution concept for graph-restricted games is called the Myerson value. One study generalized these results by considering... View full abstract»

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  • Multiwinner Voting in Genetic Algorithms

    Publication Year: 2017, Page(s):40 - 48
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (599 KB) | HTML iconHTML

    Genetic algorithms are a group of powerful tools for solving ill-posed global optimization problems in continuous domains. When insensitivity in the fitness function is an obstacle, the most desired feature of a genetic algorithm is its ability to explore plateaus of the fitness function surrounding its minimizers. The authors suggest a way of maintaining diversity of the population in the plateau... View full abstract»

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  • IEEE Computer Society

    Publication Year: 2017, Page(s): 49
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  • AI and Economics 
  • Multidefender Security Games

    Publication Year: 2017, Page(s):50 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1112 KB) | HTML iconHTML

    Current Stackelberg security game models primarily focus on isolated systems in which only one defender is present, despite being part of a more complex system with multiple players. However, many real systems such as transportation networks and the power grid exhibit interdependencies among targets and, consequently, between decision makers jointly charged with protecting them. To understand such... View full abstract»

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  • Online Prediction via Continuous Artificial Prediction Markets

    Publication Year: 2017, Page(s):61 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (581 KB) | HTML iconHTML

    Prediction markets are well-established tools for aggregating information from diverse sources into accurate forecasts. Their success has been demonstrated in a wide range applications, including presidential campaigns, sporting events, and economic outcomes. Recently, they've been introduced to the machine learning community in the form of artificial prediction markets, in which algorithms trade ... View full abstract»

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  • Can You Invent a Better World through Technologies?

    Publication Year: 2017, Page(s): 69
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  • Speech Recognition 
  • An Intelligent System for Spoken Term Detection That Uses Belief Combination

    Publication Year: 2017, Page(s):70 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (887 KB) | HTML iconHTML

    Spoken term detection (STD) can be considered a subpart of automatic speech recognition that aims to extract partial information from speech signals in the form of query utterances. A variety of STD techniques available in the literature employ a single source of evidence for query utterance match/mismatch determination. In this article, the authors develop an acoustic signal processing-based appr... View full abstract»

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  • Duplication Detection 
  • A Quantum-Inspired Feature Fusion Method Based on Maximum Fidelity

    Publication Year: 2017, Page(s):80 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (430 KB) | HTML iconHTML

    To better reduce redundant data and improve the completeness and conciseness of existing feature data, this article applies the theories of fidelity and quantum computation to feature fusion and proposes a novel quantum-inspired method based on maximum fidelity.In contrast to current quantum-inspired feature fusion methods,this method uses the fidelity between feature samples and takes the maximum... View full abstract»

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  • Expert Opinion 
  • Regulating Autonomous Systems: Beyond Standards

    Publication Year: 2017, Page(s):88 - 91
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (177 KB) | HTML iconHTML

    Autonomous systems are on the verge of widespread use, but there are significant challenges to ensuring their safe and appropriate development, deployment, and application. The authors argue that autonomous systems cannot, in general, be regulated using traditional performance standards. They contend that these systems should instead be evaluated by a staged, iterative regulatory approach similar ... View full abstract»

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  • AI and Web Science 
  • Redecentralizing the Web with Distributed Ledgers

    Publication Year: 2017, Page(s):92 - 95
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (275 KB) | HTML iconHTML

    The web was originally conceived as decentralized and universal, but during its popularization, its big value was built on centralized servers and nonuniversal access. A key element to redecentralize the web is to be able to generate trustable, secure, and accountable updates among autonomous participants without a central server. The authors believe that the marriage between distributed ledgers a... View full abstract»

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  • Internet of Things 
  • An Open Semantic Framework for the Industrial Internet of Things

    Publication Year: 2017, Page(s):96 - 101
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (463 KB) | HTML iconHTML

    This article introduces the Open Semantic Framework (OSF), a one-stop shop for creating and deploying semantic applications as well as their lifecycle management. The authors discuss how the OSF supports knowledge acquisition into semantic knowledge models via novel interface technologies, manages these models internally within core ontologies and pluggable knowledge packs, and provides moderated ... View full abstract»

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  • Affective Computing and Sentiment Analysis 
  • Lexicon Generation for Emotion Detection from Text

    Publication Year: 2017, Page(s):102 - 108
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    General-purpose emotion lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion detection. However, the static and formal nature of their vocabularies make them an inadequate resource for detecting emotions in domains that are inherently dynamic in nature. This calls for lexicons that are not only adaptive to the lexical variations in a domain but which... View full abstract»

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  • Back Covers 
  • New Membership Options for a Better Fit

    Publication Year: 2017, Page(s): c3
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  • TechIgnite

    Publication Year: 2017, Page(s): c4
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Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Daniel Zeng
University of Arizona