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 # Concepts
 
 This is a collection of concepts that are necessary for following & contributing to discussions within the open memetics commuity. It's a community curated shared language that tries to balance onboarding newcomers with expressing the necessary complexity at the frontier. 
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+there are a few basic components that make up the relationships in an environment and i wrote up a small hopefully usable and buildable definition that we can start with to explain some other virtualist concepts:
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+Agents
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+Agents act according to their desires and along a pre-predictive (not pre-determined) path. 
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+Agents receive inputs, they process the information through their existing knowledge and experiences, and they compose an output for the world
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+The Environment 
+-The environment refers to the space where agents are contained.
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+In most contexts, it will refer to specific websites, locations, or “the internet” as a whole.
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+Environments can be modified in various ways
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+In an environment, agents produce signals.
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+they do this (generally) in response to a different signal, or as a way to express some internal need.
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+Not all agents are authentic.
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+While many agents are genuine and truthseeking, some are either intentionally malevolent, uninformed, or a bot.
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+In these cases, we can use a few different terms for the ways signals are perceived 
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+For now, lets keep it simple with “signaling that is true”, or “signaling that is false” (for whatever reason)
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+these concepts allow us to learn more later, about infowar and information engagements
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+When considering agents in the environment from an outside perspective, we need to also keep in perspective the subjective experiences of the agent. 
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+For example, there will be times where the agent is presenting a truth that is a truth for them, but is a false in the “universal” sense of information.
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+With many agents in an environment, there is cross contamination of signals, and dissonance between signals. 
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+This can be thought of as a kind of “epistemic overload”, where it is unknown what is true and what is false.
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+This generates what Defender calls epistemic noise. Many agents are overwhelmed and unable to process enough information, even with advanced tactics. 
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+Many would say that this is a disaster. Having bots, malicious agents, tricksters, and more taking up the internet away from all the kind hearted truthers out there IN ADDITION to all the good kind hearted truthers.
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+Through this overload of information, agents can develop a sense for wading through epistemic noise. Codex called this “using nyquist theorem”, combining bits and pieces from multiple sources and comparing them to determine “real” information. 
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+Familiarity with certain patterns of information can help form and craft the understanding space of an agent
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+Understanding space
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+The understanding space is the information space that an agent contains.
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+In this paper https://vec2vec.github.io Harnessing the Universal Geometry of Embeddings
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+the idea that is explored, is that all models share a universal “platonic representation space”.
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+This is the universal understanding space. It contains “information gathered” from all agents within, because it’s a superset that contains everything.
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+Each agent inside of this superset has their own coordinates within “information embedding space”. They have their own understanding space that interacts with information in its own unique way.
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+This influences the way that incoming information, incoming entropy, interacts with their agent and the predicted response of the agent
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