Postext - A mind for society

Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg, Eran Shir, Sorin Solomon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present Postext (pronounced POS-TEH) - a platform for collective thinking. This generic system was originally created in order to assist the community of complexity research to self-organize (the system is operative and can be found at http://complexity.huji.ac.il). In this paper we describe the basic philosophical ideas that promoted its creation, and the circumstances of its specific application to the complexity community.

Original languageEnglish
Title of host publicationAdaptive Agents and Multi-Agent Systems II - Adaptation and Multi-Agent Learning
EditorsDaniel Kudenko, Dimitar Kazakov, Eduardo Alonso
Pages24-40
Number of pages17
DOIs
StatePublished - 2005
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3394 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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