Automata

Overview
Automata are autonomous robots designed to perform simple tasks in the environment. They are essentially walking (or flying or rolling or burrowing) physical functions.
Sometimes, automata are connected to a nearby local compute platform, including System endpoints. They can look like inanimate parts of the environment, or mechanical insects and animals, and many things in between. Common automata include the static gondolas and other moving platforms found across GATA, and the βbugsβ that maintain natural and artificial ecosystems.
Automata are constructed using advanced materials and hard-coded components. While some automata are starkly artificial, living plastic and fiber optics are used to produce many complex bio-mimicking morphologies with features that resemble musculature, tendons, and nervous systems.
In a broad sense, automata can be simply understood as bodies without minds. Their βthinkingβ lives elsewhere:
COGs are hard-coded cognitive systems that fill the role Old World artificial intelligence once did. A cog can drive many automata, but it is typically housed in a separate, immobile installation.
Constructs are virtual or astral environments. Agents inside constructs may control automata, but constructs themselves are not robots; they are places, not bodies.
In modern architecture, automata provide sensors, actuators, and mobility, while COGs and other Asimovian systems provide cognition and decision-making. Links, endpoints, constructs, and other mechanisms provide interfaces between people, cogs, and automata.
Types of Automata
Anthros


Anthro is short for anthropomorphic automata. Like all other automata, they do almost no processing onboard due to the limitations imposed by AIC regulation, thus requiring a separate platform to drive them (or a human conduit to embody them as surrogates). Connecting an athro to local hardware can give them a wide range of capabilities, and they are particularly popular in luxury contexts, customer service, and as companions.
The use of anthros is fairly strictly regulated across GATA due to provisions in the NDA that limit the use of human resemblance in enterprise due to hard lessons learned during the mid-21st century in the Old World where fake human identities were used to sow social and political discord.
Rates of anthro use and manufacture are highest in the African Union where they have defined their own paradigms. AU anthros are considered to be the highest quality, and adhere closely to the technical word of the law laid out in the NDA, even though the AU's interpretation differs from that of the AIC in GATA.
Bugs


Small robotic automata that perform basic status assessment and maintenance in public spaces. They can climb walls, slip between cracks and perform a variety of functions, but in order to be NDA-compliant their onboard computation capacity is very limited.
Trajectoids


Multi-purpose machines and computational platforms with and without articulating parts, that use their shape and topology to control how they move through and interact with their environment.
Most often take the form of large contextual automata that transform shape or orientation based on needs, and come in a wide variety of forms and functions. If a spaceβs use might change, or a variety of tasks must be performed in the space, trajectoids can simply be activated and moved into the needed orientation without requiring a skilled conduit (or cogs) thanks to their geometrically precise shapes, allowing them to easily roll, slide, or bend into the correct position.
Terminology & Distinctions
Because automata sit at the intersection of machinery, artificial intelligence, and infrastructure, several related terms are often confused. In NDA-compliant jurisdictions, these terms are used with specific meanings.
Automata
βAutomataβ is the formal term for autonomous machines built on hard-code and Asimovian architecture, designed to perform bounded tasks in the physical environment.
They are treated as complex physical functions rather than independent agents.
Their design, scale, and permitted behaviors are constrained by tech regulation and the New Dawn Accords (NDA).
In most districts, when authorities or engineers say βautomataβ, they are referring specifically to this regulated class of hard-coded robotic bodies.
Legacy βrobotsβ and robotics
In historical and technical writing, βrobotsβ and βroboticsβ usually refer to Old World machines built using legacy processors and software.
These systems often combined mechanical bodies with software-driven autonomy and adaptive learning, and were later found to be vulnerable to destructive algorithms like the Daemon virus.
Under modern tech regulation, most such systems, their designs, and their enabling components fall under Class 1 βred techβ and are illegal to possess or operate inside districts.
As a result, βrobotβ has become a somewhat dated or cautionary term, often used when discussing the Old World or the early Dark Decade, or colloquially, as a loose synonym for βmechanical helperβ, especially among those not concerned with NDA distinctions or regulations.
In technical and legal language within GATA, however, βautomataβ has replaced βrobotsβ as the standard term for NDA-compliant robotic devices.
Common vernacular
In ordinary speech, people are not always precise:
Individuals may casually call small automata βbotsβ or βrobotsβ, especially bugs and other small maintenance units.
Enterprises, the AIC, and technical curricula prefer βautomataβ for NDA-compliant systems, reserving βrobotsβ and βroboticsβ for Old World technology, speculative discussion, or comparisons between systems.
From a historical perspective, automata can be seen as the safe, Asimovian subset of what the Old World would have called robotics. In contemporary practice, however, βautomataβ is its own categoryβin a sense, a replacement and rebrand of classical roboticsβdefined by its substrate and regulatory constraints.
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