<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <nonSort>A </nonSort>
    <title>Unifying Framework for Formal Theories of Novelty</title>
    <subTitle>Discussions, Guidelines, and Examples for Artificial Intelligence</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Boult, Terrance.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Scheirer, Walter.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>SpringerLink (Online service)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <reformattingQuality>access</reformattingQuality>
    <extent>XV, 110 p. 35 illus., 33 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games. .</abstract>
  <tableOfContents>A Unifying Framework for Novelty -- Example Application of Framework: CartPole Domain -- Image Classification -- Novelty in Handwriting Recognition -- Visual Media Caption Domain -- Monopoly Multi-Agent Game Domain -- Related Work -- Prior Perspectives on Novelty and Conclusions.</tableOfContents>
  <note type="statement of responsibility">edited by Terrance Boult, Walter Scheirer.</note>
  <subject authority="lcsh">
    <topic>Computer vision</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Image processing</topic>
    <topic>Digital techniques</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Pattern recognition systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Image processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject>
    <topic>Computer Vision</topic>
  </subject>
  <subject>
    <topic>Machine Learning</topic>
  </subject>
  <subject>
    <topic>Computer Imaging, Vision, Pattern Recognition and Graphics</topic>
  </subject>
  <subject>
    <topic>Automated Pattern Recognition</topic>
  </subject>
  <subject>
    <topic>Image Processing</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <classification authority="lcc">TA1634</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Springer Nature eBook</title>
    </titleInfo>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="series">
    <titleInfo>
      <title>Synthesis Lectures on Computer Vision</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9783031330544</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-33054-4</identifier>
  <location>
    <url>https://doi.org/10.1007/978-3-031-33054-4</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">230801</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030110810.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-3-031-33054-4</recordIdentifier>
  </recordInfo>
</mods>
