Distributed Task Models

Distributed Task Models is a computational framework within task modeling that characterizes the decomposition, coordination, and execution of interdependent tasks across multiple autonomous or semi-autonomous agents or systems, distinguished by its explicit representation of spatial, temporal, or organizational distribution in task performance.

55

Publications

3.5K

Citations

146

Authors

80

Institutions

Publications per year

2017–2026

9

Authors

146

  1. JC
    J. Carlos Palencia

    Universidad de Cantabria, Spain

    3 publications · 156 citations

    3

    h-index

  2. AL
    André Luckow

    BMW Group (Germany), Germany

    3 publications · 82 citations

    3

    h-index

  3. MS
    Mark Santcroos

    University of Amsterdam, Netherlands

    3 publications · 82 citations

    3

    h-index

  4. OW
    Ole Weidner

    Louisiana State University, United States

    3 publications · 82 citations

    3

    h-index

  5. MG
    Michael González Harbour

    Universidad de Cantabria, Spain

    3 publications · 156 citations

    3

    h-index

1–5 of 146

Venues

  1. Journal of Parallel and Distributed Computing

    2 publications · 124 citations

    2

    h-index

  2. Cognitive Science

    2 publications · 1.3K citations

    2

    h-index

  3. Journal of Embedded Computing

    2 publications · 51 citations

    2

    h-index

  4. Knowledge-Based Systems

    1 publications · 33 citations

    1

    h-index

  5. IEEE Transactions on Computers

    1 publications · 21 citations

    1

    h-index

1–5