The constructed belief framework is a perception management system that models how interconnected beliefs and experiences produce our active understanding.
The primary purpose of the constructed belief framework is to challenge us to determine why we believe what we believe. At a high level, we often like to say that we're just perceiving reality or using common sense, but the process of building a personal CBF forces us to question why we think what we think.
Paradigms are collections of interdependent beliefs. There are clusters of beliefs that only have validity because of their relation to each other. The CBF allows us to track these paradigm relationships, which then makes it easier to understand the impact of any single belief being challenged.
The human mind only has so much "RAM" to work with. We can only track so many variables at once when trying to do cognitive reflection. It can be hard for us to understand how one belief conflicts with another when we adopt it, and we often pick up new beliefs that conflict with existing ones, causing dissonance. The CBF allows us to use technology to support the consideration of new ideas, highlighting conflicts for us that might not be top of mind in the moment.
Humanity's current method of knowledge management is to create a centralized authority that determines "good" knowledge and assuming that people will use these resources to learn it properly.
This method has very obvious flaws, introducing corruption within academic authority who are decreeing the knowledge as well as inefficient "one-size
Humanity's current method of knowledge management is to create a centralized authority that determines "good" knowledge and assuming that people will use these resources to learn it properly.
This method has very obvious flaws, introducing corruption within academic authority who are decreeing the knowledge as well as inefficient "one-size-fits-all" education systems that requires an atypical amount of drive.
Instead, the constructed belief framework allows various institutions to put forth entire bodies of knowledge that they have authorized.
These institutions can then interact with other individuals to compare and correct structures using a shared framework.
And when it comes to education, students can have their CBF compared to the target paradigm for targeted plans.
Nearly all issues with communication and consensus building are resolved simply by virtue of having a better structure to facilitate discourse beyond vague assumptions of undefined common sense.
When people are able to see how people's beliefs come together, and how we all have variance that we can't necessarily address directly, we can embrace the nuance needed for effective collaboration.
When assimilating beliefs into a framework, the least important thing to track is whether or not they are true. The metadata about the beliefs contain more truth than the beliefs themselves. It is by pragmatic processing using this metadata that we can dynamically determine the most accurate truth in any given moment.
One of the most egregious errors of perfectionist epistemology is the dismissal of any and all beliefs that haven't already met some arbitrary burden of proof. The information about beliefs, such as where they came from, what dependencies do they have, whether they aim to be idealistic or pragmatic, etc, all help us determine truth dynamically. Dismissing "irrelevant" beliefs is nonsense; metadata makes every belief relevant.
By incorporating all beliefs and their meta-data into a broader system, it is much easier to find connections and contradictions. Anytime a paradigm expands or is challenged, technology can immediately highlight previously "false" beliefs that become more viable given the proposed changes.
Every belief originates from a source—whether a published work, personal experience, intuition, or a cultural narrative. The source provides context for how the belief emerged and influences its perceived validity. Some sources, like scientific studies, offer structured methodologies, while others, like intuition, arise from subconscious
Every belief originates from a source—whether a published work, personal experience, intuition, or a cultural narrative. The source provides context for how the belief emerged and influences its perceived validity. Some sources, like scientific studies, offer structured methodologies, while others, like intuition, arise from subconscious pattern recognition. By tracking sources, we can assess a belief’s foundation and understand how different types of knowledge contribute to our perspective.
Beliefs do not exist in isolation; they form an interconnected web. Dependencies track how beliefs relate to one another—whether a belief is foundational for others or contingent on existing assumptions. By mapping dependencies, we can identify structural weaknesses in our understanding, see how changes in one belief cascade through the s
Beliefs do not exist in isolation; they form an interconnected web. Dependencies track how beliefs relate to one another—whether a belief is foundational for others or contingent on existing assumptions. By mapping dependencies, we can identify structural weaknesses in our understanding, see how changes in one belief cascade through the system, and determine which beliefs serve as keystones for entire paradigms.
Every belief exists within a larger conceptual framework. Paradigm membership categorizes beliefs based on the structured perspectives they contribute to, such as scientific theories, religious doctrines, or philosophical worldviews. By identifying which paradigms a belief belongs to, we can analyze how different frameworks interpret the
Every belief exists within a larger conceptual framework. Paradigm membership categorizes beliefs based on the structured perspectives they contribute to, such as scientific theories, religious doctrines, or philosophical worldviews. By identifying which paradigms a belief belongs to, we can analyze how different frameworks interpret the same idea, recognize cognitive biases, and explore alternative perspectives more effectively.
To ground beliefs in reality, they must be linked to empirical data, testimony, reasoning, or direct experience. Real data serves as an anchor, preventing a belief from drifting into pure abstraction. Whether it’s a scientific measurement, a well-reasoned argument, or a firsthand account, this component ensures that beliefs remain connect
To ground beliefs in reality, they must be linked to empirical data, testimony, reasoning, or direct experience. Real data serves as an anchor, preventing a belief from drifting into pure abstraction. Whether it’s a scientific measurement, a well-reasoned argument, or a firsthand account, this component ensures that beliefs remain connected to something verifiable. Tracking real data also helps distinguish between beliefs that are testable and those that rely purely on interpretation or faith.
The most basic feature of the CBF app will be a database of all submitted beliefs with available metadata. This alone is useful for tracking various claims and any information or arguments that may support them.
Both individuals and institutions will be able to use the framework to curate and present complex claims or entire bodies of knowledge as authorized representations of their perspective to facilitate intersubjective explorations.
Both individual claims and entire bodies of knowledge can be compared to determine where they agree, where they conflict, and where each option makes claims that the other doesn't have an equivalent for.
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