The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Don Ringe - One of the best experts on this subject based on the ideXlab platform.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

Esra Erdem - One of the best experts on this subject based on the ideXlab platform.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

Luay Nakhleh - One of the best experts on this subject based on the ideXlab platform.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

Vladimir Lifschitz - One of the best experts on this subject based on the ideXlab platform.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

  • reconstructing the evolutionary history of indo european Languages using answer set programming
    Practical Aspects of Declarative Languages, 2003
    Co-Authors: Esra Erdem, Vladimir Lifschitz, Luay Nakhleh, Don Ringe
    Abstract:

    The evolutionary history of Languages can be modeled as a tree, called a phylogeny, where the leaves represent the extant Languages, the internal vertices represent the ancestral Languages, and the edges represent the genetic relations between the Languages. Languages not only inherit characteristics from their ancestors but also sometimes borrow them from other Languages. Such borrowings can be represented by additional non-tree edges. This paper addresses the problem of computing a small number of additional edges that turn a phylogeny into a "perfect phylogenetic network". To solve this problem, we use answer set programming, which represents a given computational problem as a logic program whose answer sets correspond to solutions. Using the answer set solver smodels, with some heuristics and optimization techniques, we have generated a few conjectures regarding the evolution of Indo-European Languages.

Hannes Schroeder - One of the best experts on this subject based on the ideXlab platform.

  • an ancient genome from the indus valley civilization
    Cell, 2019
    Co-Authors: Maanasa Raghavan, Hannes Schroeder, Annasapfo Malaspinas
    Abstract:

    Shinde et al. report the first genome-wide data from an ancient individual from the Indus Valley Civilization in South Asia. Their findings have implications for the origins and spread of farming and Indo-European Languages in the region and the makings of the South Asian gene pool.

  • population genomics of bronze age eurasia
    Nature, 2015
    Co-Authors: Morten E Allentoft, Hannes Schroeder, Peter De Barros Damgaard, Simon Rasmussen, Martin Sikora, Karlgoran Sjogren, Morten Rasmussen, Jesper Stenderup, Torbjorn Ahlstrom
    Abstract:

    The Bronze Age of Eurasia (around 3000-1000 BC) was a period of major cultural changes. However, there is debate about whether these changes resulted from the circulation of ideas or from human migrations, potentially also facilitating the spread of Languages and certain phenotypic traits. We investigated this by using new, improved methods to sequence low-coverage genomes from 101 ancient humans from across Eurasia. We show that the Bronze Age was a highly dynamic period involving large-scale population migrations and replacements, responsible for shaping major parts of present-day demographic structure in both Europe and Asia. Our findings are consistent with the hypothesized spread of Indo-European Languages during the Early Bronze Age. We also demonstrate that light skin pigmentation in Europeans was already present at high frequency in the Bronze Age, but not lactose tolerance, indicating a more recent onset of positive selection on lactose tolerance than previously thought.