Encoding geometric and non-geometric information: a study with evolved agents

被引:0
|
作者
Michela Ponticorvo
Orazio Miglino
机构
[1] University of Naples “Federico II”,Laboratory of Artificial and Natural Cognition, Department of Relational Sciences
[2] Institute of Cognitive Sciences and Technologies,Laboratory of Artificial Life and Autonomous Robotics
[3] National Research Council,undefined
来源
Animal Cognition | 2010年 / 13卷
关键词
Spatial orientation; Geometric module; Artificial agents;
D O I
暂无
中图分类号
学科分类号
摘要
Vertebrate species use geometric information and non-geometric or featural cues to orient. Under some circumstances, when both geometric and non-geometric information are available, the geometric information overwhelms non-geometric cues (geometric primacy). In other cases, we observe the inverse tendency or the successful integration of both cues. In past years, modular explanations have been proposed for the geometric primacy: geometric and non-geometric information are processed separately, with the geometry module playing a dominant role. The modularity issue is related to the recent debate on the encoding of geometric information: is it innate or does it depend on environmental experience? In order to get insight into the mechanisms that cause the wide variety of behaviors observed in nature, we used Artificial Life experiments. We demonstrated that agents trained mainly with a single class of information oriented efficiently when they were exposed to one class of information (geometric or non-geometric). When they were tested in environments that contained both classes of information, they displayed a primacy for the information that they had experienced more during their training phase. Encoding and processing geometric and non-geometric information was run in a single cognitive neuro-representation. These findings represent a theoretical proof that the exposure frequency to different spatial information during a learning/adaptive history could produce agents with no modular neuro-cognitive systems that are able to process different types of spatial information and display various orientation behaviors (geometric primacy, non-geometric primacy, no primacy at all).
引用
收藏
页码:157 / 174
页数:17
相关论文
共 50 条
  • [1] Encoding geometric and non-geometric information: a study with evolved agents
    Ponticorvo, Michela
    Miglino, Orazio
    ANIMAL COGNITION, 2010, 13 (01) : 157 - 174
  • [2] Development of navigation: encoding of geometric and non-geometric properties of spatial environment in children
    Labadi, Beatrix
    Vagvolgyi, Reka
    COGNITIVE PROCESSING, 2012, 13 : S62 - S62
  • [3] The Non-Geometric Elwood
    Lih, Lars T.
    CANADIAN SLAVONIC PAPERS, 2012, 54 (1-2) : 185 - 213
  • [4] Geometric versus non-geometric rough paths
    Hairer, Martin
    Kelly, David
    ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 2015, 51 (01): : 207 - 251
  • [5] Geometric and non-geometric compactifications of IIB supergravity
    Reid-Edwards, R. A.
    JOURNAL OF HIGH ENERGY PHYSICS, 2008, (12):
  • [6] Renormalisation from non-geometric to geometric rough paths
    Bruned, Yvain
    ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 2022, 58 (02): : 1078 - 1090
  • [7] Navigation in Evolving Robots: Insight from Vertebrates The Case of Geometric and Non-geometric Information
    Ponticorvo, Michela
    Miglino, Orazio
    AI (ASTERISK) IA 2009: EMERGENT PERSPECTIVES IN ARTIFICIAL INTELLIGENCE, 2009, 5883 : 222 - 231
  • [8] Calibration of geometric and non-geometric errors of an industrial robot
    Jang, JH
    Kim, SH
    Kwak, YK
    ROBOTICA, 2001, 19 (19) : 311 - 321
  • [9] Non-geometric Veering Triangulations
    Hodgson, Craig D.
    Issa, Ahmad
    Segerman, Henry
    EXPERIMENTAL MATHEMATICS, 2016, 25 (01) : 17 - 45
  • [10] A geometry for non-geometric string backgrounds
    Hull, CM
    JOURNAL OF HIGH ENERGY PHYSICS, 2005, (10): : 1625 - 1654