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Intelligent Agents V: Agents Theories, Architectures, and Languages : 5th International Workshop, ATAL’98 Paris, France, July 4–7, 1998 Proceedings

Overview of attention for book
Cover of 'Intelligent Agents V: Agents Theories, Architectures, and Languages : 5th International Workshop, ATAL’98 Paris, France, July 4–7, 1998 Proceedings'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Belief-Desire-Intention Model of Agency
  3. Altmetric Badge
    Chapter 2 BDI Models and Systems: Reducing the Gap
  4. Altmetric Badge
    Chapter 3 Information-Passing and Belief Revisionin Multi-agent Systems
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    Chapter 4 On the Relationship between BDI Logics and Standard Logics of Concurrency
  6. Altmetric Badge
    Chapter 5 Intention Reconsideration Reconsidered
  7. Altmetric Badge
    Chapter 6 Making SharedPlans More Concise and Easier to Reason About
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    Chapter 7 Autonomous Norm Acceptance
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    Chapter 8 Moral Sentiments in Multi-agent Systems
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    Chapter 9 Social Structure in Artificial Agent Societies: Implications for Autonomous Problem-Solving Agents
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    Chapter 10 The Bases of Effective Coordination in Decentralized Multi-agent Systems
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    Chapter 11 A Model Checking Algorithm for Multi-agent Systems
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    Chapter 12 Compositional Verification of Multi-agent Systems in Temporal Multi-epistemic Logic
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    Chapter 13 Emergent Mental Attitudes in Layered Agents
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    Chapter 14 The Right Agent (Architecture) to Do the Right Thing
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    Chapter 15 Representing Abstract Agent Architectures
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    Chapter 16 HEIR - A Non-hierarchical Hybrid Architecture for Intelligent Robots
  18. Altmetric Badge
    Chapter 17 A-Teams: An Agent Architecture for Optimization and Decision-Support
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    Chapter 18 Goal-Satisfaction in Large-Scale Agent Systems: A Transportation Example
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    Chapter 19 Task Decomposition and Dynamic Role Assignment for Real - Time Strategic Teamwork
  21. Altmetric Badge
    Chapter 20 Agent Languages and Their Relationship to Other Programming Paradigms
  22. Altmetric Badge
    Chapter 21 A Survey of Agent-Oriented Methodologies
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    Chapter 22 The Agentis Agent InteractionModel
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    Chapter 23 Content-Based Routing as the Basis for Intra-Agent Communication
  25. Altmetric Badge
    Chapter 24 Agent Communication Language: Towards a Semantics based on Success, Satisfaction, and Recursion
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    Chapter 25 Control Structures of Rule-Based Agent Languages
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    Chapter 26 A Reactive Approach for Solving Constraint Satisfaction Problems
  28. Altmetric Badge
    Chapter 27 Increasing Resource Utilization and Task Performance by Agent Cloning
  29. Altmetric Badge
    Chapter 28 An Index to Volumes 1–5 of the Intelligent Agents Series
Attention for Chapter 1: The Belief-Desire-Intention Model of Agency
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 news outlet
twitter
2 X users
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

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25 Dimensions

Readers on

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412 Mendeley
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1 CiteULike
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Chapter title
The Belief-Desire-Intention Model of Agency
Chapter number 1
Book title
Intelligent Agents V: Agents Theories, Architectures, and Languages
Published in
Lecture notes in computer science, January 1998
DOI 10.1007/3-540-49057-4_1
Book ISBNs
978-3-54-065713-2, 978-3-54-049057-9
Authors

Michael Georgeff, Barney Pell, Martha Pollack, Milind Tambe, Michael Wooldridge, Georgeff, Michael, Pell, Barney, Pollack, Martha, Tambe, Milind, Wooldridge, Michael

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 412 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 12 3%
United States 11 3%
France 5 1%
United Kingdom 5 1%
Brazil 5 1%
Romania 4 <1%
Portugal 3 <1%
Australia 3 <1%
Colombia 2 <1%
Other 16 4%
Unknown 346 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 134 33%
Student > Master 63 15%
Researcher 54 13%
Student > Doctoral Student 27 7%
Student > Bachelor 23 6%
Other 77 19%
Unknown 34 8%
Readers by discipline Count As %
Computer Science 228 55%
Engineering 53 13%
Social Sciences 13 3%
Business, Management and Accounting 12 3%
Psychology 12 3%
Other 50 12%
Unknown 44 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 November 2023.
All research outputs
#2,263,148
of 24,889,544 outputs
Outputs from Lecture notes in computer science
#393
of 8,150 outputs
Outputs of similar age
#2,225
of 97,274 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 29 outputs
Altmetric has tracked 24,889,544 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,150 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 97,274 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.