MyceliumKNOWLEDGE & REASONING

ANALOGICAL REASONING FOR AI

Beyond retrieval;
abstract Analogical reasoning.

Turn experience into reusable understanding. Mycelium gives your AI tools to abstract patterns, connect ideas across domains, and reason through unfamiliar problems.

STRUCTURE · ANALOGY · EVIDENCE

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FROM RETRIEVING INFORMATION TO REASONING WITH IT

Discover what experiences share.
Explore what that makes possible.

Retrieval brings relevant information into a conversation. Abstract analogical reasoning asks what connects it: which relationships recur, how a mechanism works, and where that understanding could apply next. Mycelium gives language models tools to develop those abstractions, map them onto new situations, and test the resulting ideas against evidence.

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01 / ABSTRACT

Find the pattern
within the particulars.

Compare cases to identify shared relationships, event sequences and constraints. Build reusable generalizations while preserving the details and differences that give each case its meaning.

Commonality · Variability · Layered generalization
02 / TRANSFER

Carry an insight
into unfamiliar territory.

Look for the same underlying structure in another domain. Map roles and mechanisms between situations to develop possible explanations, approaches and questions worth investigating.

Structural analogies · Role mappings · Hypotheses
03 / REFINE

Let new evidence
reshape understanding.

Examine where an analogy holds and where it breaks. Record tests, outcomes and counterexamples so future reasoning can draw on both useful patterns and their limits.

Evidence · Counterexamples · Retained learning

ONE ABSTRACTION, DIFFERENT DOMAINS

A traffic jam.
A slow service.
A shared bottleneck?

Cars and software requests are different things. Their relationships can reveal a common pattern: arrivals exceed the rate a system can process them. That abstraction opens a new line of investigation.

Illustrative reasoning workflow
  1. Extract the relationship.Represent arrivals, limited capacity and queue growth as a pattern that can be compared across systems.
  2. Map it onto the new problem.Connect vehicles to requests and road capacity to service throughput. Ask whether the same relationship explains the observed slowdown.
  3. Find the limits and test the idea.Account for retries, parallel workers and dropped requests. Check the hypothesis against observations, then retain the outcome with its conditions.

ABSTRACTIONS WITH A BASIS

Keep every insight
connected to its evidence.

Useful abstractions preserve the conditions under which they apply. Mycelium keeps supporting cases, observations, assumptions and contradictions inspectable, so a promising analogy can be challenged and refined.

UNDERSTANDING THAT ACCUMULATES

Give each conversation
something to build on.

Connect a compatible language model through MCP to work with cases, generalizations and recorded reasoning across conversations. Explore that developing body of understanding in the web workspace, from broad patterns down to the evidence behind them.

Abstract from experience. Reason across domains. Build understanding.Get started with Mycelium