Francisco Grimaldo

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Francisco Grimaldo

Institution

Universitat de València

Personal homepage

http://www.uv.es/grimo

Professional homepage

http://www.uv.es

ORCID more info

No associated orcid account.

GitHub more info

No associated github account.

No bio entered.

Research Interests

My main research interests are agent-based modeling, simulation of social complexity, computational social choice, distributed systems and applied artificial intelligence.

PR-M: The Peer Review Model

Francisco Grimaldo Mario Paolucci | Published Sun Nov 10 12:55:52 2013 | Last modified Wed Jul 1 15:44:39 2015

This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.

PR-M: The Peer Review Model

Francisco Grimaldo Mario Paolucci | Published Sun Nov 10 12:55:52 2013 | Last modified Wed Jul 1 15:44:39 2015

This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.

PR-M: The Peer Review Model

Francisco Grimaldo Mario Paolucci | Published Sun Nov 10 12:55:52 2013 | Last modified Wed Jul 1 15:44:39 2015

This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.

This is a model of paper publication and consumption that allows to study the effect of two different evaluation mechanisms, peer review and reputation, on the quality of the manuscripts accessed by a scientific community.

NetLogo software for the Peer Review Game model. It represents a population of scientists endowed with a proportion of a fixed pool of resources. At each step scientists decide how to allocate their resources between submitting manuscripts and reviewing others’ submissions. Quality of submissions and reviews depend on the amount of allocated resources and biased perception of submissions’ quality. Scientists can behave according to different allocation strategies by simply reacting to the outcome of their previous submission process or comparing their outcome with published papers’ quality. Overall bias of selected submissions and quality of published papers are computed at each step.

Under development.

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