Animal — Communication Laurent Romary Charles Riondet rev5 Inria 2017-03-29

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Parthenos

this specification document is based on the Encoded Archival Description Tag Library EAD Technical Document No. 2 Encoded Archival Description Working Group of the Society of American Archivists Network Development and MARC Standards Office of the Library of Congress 2002 and on EAD 2002 Relax NG Schema 200804 release SAA/EADWG/EAD Schema Working Group

Foreword

About EAD

EAD stands for Encoded Archival Description, and is a non-proprietary de facto standard for the encoding of finding aids for use in a networked (online) environment. Finding aids are inventories, indexes, or guides that are created by archival and manuscript repositories to provide information about specific collections. While the finding aids may vary somewhat in style, their common purpose is to provide detailed description of the content and intellectual organization of collections of archival materials. EAD allows the standardization of collection information in finding aids within and across repositories.

Animal — Communication

The field is characterized by two distinct approaches to understanding how animals "speak": Using AI to Decode Animal Communication with Aza Raskin

: Includes melodic songs in birds, echolocation in bats, and complex vocalizations in whales and dolphins.

Animals use a variety of sensory channels to transmit signals:

: Uses body language such as chest beating in primates, tail-tucking in dogs, and "dances" in honeybees to indicate food locations.

The study of , often referred to as zoosemiotics , examines how non-human species exchange information to survive, reproduce, and maintain social structures. Current research ranges from traditional ethological observations to the cutting-edge use of artificial intelligence to decode complex vocal patterns. Core Modalities of Communication

Scope

The EAD ODD is a XML-TEI document made up of three main parts. The first one is, like any other TEI document, the teiHeader, that comprises the metadata of the specification document. Here we state, among others pieces of information, the sources used to create the specification document in a sourceDesc element. Our two sources are the EAD Tag Library and the RelaxNG XML schema, both published on the Library of Congress website. The second part of the document is a presentation of our method (the foreword) with an introduction to the EAD standard and a description of the structure of the document. This part contains some text extracted from the introduction of the EAD Tag Library. The third part is the schema specification itself : the list of EAD elements and attributes and the way they relate to each others.

Normative references EAD: Encoded Archival Description (EAD Official Site, Library of Congress) Library of Congress Library of Congress 2015-11-24T09:17:34Z http://www.loc.gov/ead/ Encoded Archival Description Tag Library - Version 2002 (EAD Official Site, Library of Congress) Library of Congress 2017-05-31T13:12:01Z http://www.loc.gov/ead/tglib/index.html Records in Contexts, a conceptual model for archival description. Consultation Draft v0.1 Records in Contexts, a conceptual model for archival description. Experts group on archival description (ICA) Conseil international des Archives 2016 http://www.ica.org/sites/default/files/RiC-CM-0.1.pdf

The field is characterized by two distinct approaches to understanding how animals "speak": Using AI to Decode Animal Communication with Aza Raskin

: Includes melodic songs in birds, echolocation in bats, and complex vocalizations in whales and dolphins.

Animals use a variety of sensory channels to transmit signals:

: Uses body language such as chest beating in primates, tail-tucking in dogs, and "dances" in honeybees to indicate food locations.

The study of , often referred to as zoosemiotics , examines how non-human species exchange information to survive, reproduce, and maintain social structures. Current research ranges from traditional ethological observations to the cutting-edge use of artificial intelligence to decode complex vocal patterns. Core Modalities of Communication