In logico-linguistic modeling, causal sequences are typically represented through structured frameworks that combine logical analysis with linguistic representation. This involves defining the cause-and-effect relationships in a way that is both logically rigorous and linguistically coherent. Here are some key concepts often involved:

1. Logical Structures: These are used to model the relationships between different parts of a causal sequence. Logical connectors such as 'if', 'then', 'because', and 'therefore' play crucial roles in linking cause and effect.

2. Linguistic Components: Language is employed to articulate these logical relationships in a way that is understandable. This involves syntax (sentence structure) and semantics (meaning), ensuring that the causal connections are clear and precise.

3. Formal Systems: Sometimes formal linguistic systems, like predicate logic or modal logic, are used to represent causal sequences. These systems enable the formalization of language, making the causal relations explicit and testable.

4. Graphical Models: Causal sequences can also be depicted using graphical models such as directed graphs or flowcharts, where nodes represent events or states, and edges represent causal relationships.

5. Computational Models: Algorithms and software are used to simulate and analyze causal sequences. This often involves coding the relationships and running simulations to see how changes in one part of the model affect others.

These representations help in achieving a more comprehensive understanding of causality in complex systems by combining the precision of logical reasoning with the flexibility of linguistic expression. If you're interested in a deeper theoretical background, research papers and resources on formal semantics and computational linguistics might be particularly insightful.

For practical examples or further reading, consider looking into resources like Stanford's Encyclopedia of Philosophy on Causation in Metaphysics or academic papers on computational logic and linguistic modeling.