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sudly
Darwin's stagger

Registered: 01/05/15
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AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration 1
#28602612 - 12/29/23 07:06 PM (29 days, 18 hours ago) |
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The 'Dynamic Interpretive Autopoiesis' paradigm has been a transformative journey for me, significantly reshaping my perception of cognition and decision-making. Traditionally, viewed as a linear, discrete process, this paradigm has recontextualised decision-making as an 'adaptive response process'. It is now perceived as a dynamic continuum, deeply influenced by past experiences, current contexts, and future implications. This shift has been essential in understanding that our choices are not isolated events but are part of a continuous, evolving narrative.
This paradigm has also changed my approach to task completion and goal-setting. It places equal emphasis on the journey and the destination, acknowledging that while the end goal of a task is important, each step taken, akin to a single brush stroke on a canvas, contributes significantly to the overall experience. This approach recognises that goals may shift or evolve, and that even seemingly minor actions can provide valuable feedback, leading to newer and more effective strategies. Challenges and setbacks, once viewed as insurmountable barriers, are now seen as integral parts of the learning process. This reframing has been empowering, fostering a mindset where obstacles are viewed as opportunities for growth and adaptation, contributing to a more resilient and proactive approach to life's complexities.
The paradigm places a strong emphasis on personal responsibility and autonomy, akin to the principles of physiotherapy. Just as physiotherapy involves understanding and managing one's physical capabilities and limits, the Dynamic Interpretive Autopoiesis paradigm requires striking a balance between our needs, wants, and capabilities in cognitive processes. Reflecting on each step in a task highlights the importance of continuous learning and adaptation in an iterative manner. Every task, every experience, is an opportunity for growth and refinement.
In my personal journey, this paradigm has notably enhanced my awareness of my actions and non-responses, allowing me to observe and understand the nuances of my interactions with my surroundings more clearly. By focusing on the subtle aspects of my daily interactions and responses, the paradigm has influenced how I perceive and engage with the world, providing valuable insights in specific situations and guiding my understanding in a more nuanced manner. As I continue to explore this framework, I believe there's significant potential to further develop the paradigm, enhancing its applicability and insights in diverse contexts of cognitive exploration and adaptation.
However, to fully harness the paradigm's potential and apply its principles in practical scenarios, a structured approach is essential.
This necessity leads us to the integrated matrix of the Dynamic Interpretive Autopoiesis paradigm, a comprehensive framework built upon a matrix of conceptual dimensions. These dimensions encompass a range of elements that extend beyond mere cognitive processes, exploring the intricacies of environmental interactions, behavioural patterns, and interpretive approaches. Each of the nine dimensions within this matrix contains three distinct components, providing an optimal balance between breadth and depth. This structure forms a scaffold for a nuanced understanding of the multifaceted nature of human cognition and its interaction with the surrounding world.
Theoretically, while it's possible to have more or less components per dimension, I've found that three components per dimension offer the best balance for AI-mediated analysis. This number provides sufficient depth for analysis without overwhelming the computational process. The integrated matrix thus serves as a foundational tool for AI-mediated applications, enabling the paradigm to be transformed from a conceptual framework into a practical, accessible tool for individuals seeking deeper insights into their cognitive and behavioural patterns.
Recognising this challenge, the paradigm is designed to harness the computational power of AI. In practical terms, the utilisation of this framework is not just plausible but immensely practical when mediated through AI. The task of analysing, juxtaposing, and integrating individual insights onto a 9-dimensional framework, and then interpreting and providing tailored feedback, while daunting for a human, is well within the capabilities of advanced AI systems. This AI-mediated approach transforms the paradigm from a theoretical construct into a practical, accessible tool for individuals seeking deeper insights into their cognitive and behavioural patterns.
AI's unique capability to manage the paradigm's complexity and deliver tailored insights is indispensable. It deftly navigates the framework's intricacies, translating them into meaningful and personalised understandings that would be nearly impossible to achieve manually. This transformative use of AI turns a complex theoretical construct into a practical, accessible tool for deep cognitive exploration
The AI's role in this paradigm is not merely to process information but to provide a nuanced analysis that combines the subjective experiences of individuals with the objective structure of the matrix. It offers insights into how personal, environmental, and social factors intersect, influencing personal growth, challenges, and goals. The outcome of this AI-facilitated process is a rich, breadth of perspectives that merge the individual's unique circumstances with the structured framework of the paradigm. This transition from theory to practice is pivotal, as it unlocks the paradigm's full potential, making its rich insights accessible and actionable for a wider audience.
Here, I will introduce the integrated matrix template of the paradigm, designed to be supplied to AI programs. This template will enable AI to receive any input and provide tailored output interpreted through the paradigm's lens. The ease of application and effectiveness of this AI-mediated analysis make it a valuable tool for exploring the complex interactions within personal, environmental, and social systems. It stands as a key instrument for addressing challenges and implementing effective strategies in the realm of individualised task management and personal development.
Integrated Matrix Template:
Dimensions Overview:
Cognitive Processes: Perception: How we interpret sensory input. Memory: Our recall of past experiences and their influence on the present. Adaptive Responses: Adjustments to changes based on perceptions and memories.
Environmental Interactions: Social: Influence of interpersonal relationships and societal contexts. Physical: Impact of physical surroundings on cognition and behaviour. Cultural: Effect of cultural backgrounds and societal norms.
Types of Responses: Reflexive: Immediate, automatic reactions to stimuli. Deliberative: Thoughtful responses involving reasoning and analysis. Emotional: Reactions driven by emotions.
Contexts/Situations: Routine: Familiar, everyday scenarios. Novel: New, unfamiliar situations. Stressful: High-pressure or challenging contexts.
Stages of Development: Awareness: Initial recognition of concepts or skills. Understanding: Deeper comprehension and integration. Mastery: Proficiency and confident application.
Adaptive Behaviours: Learning: Acquiring new knowledge or skills. Problem-Solving: Identifying and resolving challenges. Innovation: Creating new ideas or approaches.
Interpretive Approaches: Literal: Direct and explicit understanding. Metaphorical: Symbolic and deeper meanings. Contextual: Considering broader circumstances and influences.
Forms of Information: Textual: Written or printed communication. Sensory: Information gathered through the senses. Experiential: Knowledge gained from personal experiences.
Action-Inaction Analysis: Intentionality: Motivations behind actions or inactions. Outcome: Immediate results or consequences. Impact: Longer-term effects and broader implications.
Application: Once this matrix template is provided to an AI program, its application becomes remarkably straightforward. To leverage this tool, simply instruct the AI to 'Use the paradigm to analyse this case example,' followed by a detailed description of the task or situation at hand. This description should ideally cover aspects relevant to the various dimensions and components of the matrix. The AI, equipped with the paradigm's framework, will then process your input, interpreting it through the paradigm's multifaceted lens. This results in a comprehensive and nuanced analysis that brings together subjective experiences and the structured elements of the paradigm. Such AI-mediated analysis not only simplifies the complexity inherent in the paradigm but also makes it a highly accessible and effective tool for dissecting and understanding the intricate interplays of cognitive processes and environmental factors in any given scenario.
TLDR: Copy the Integrated Matrix Template, paste it into AI like Chat GPT, write, 'Use the paradigm to analyse this case example', then detail any task or situation at hand, recieve a breadthe of tailored perspectives, then reflect, and repeat. (If using GPT 3.5, you may have to ask to focus on the 3 components of one or a few dimensions at a time, no issues with GPT 4)
-------------------- I am whatever Darwin needs me to be.
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redgreenvines
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Registered: 04/08/04
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28602697 - 12/29/23 08:02 PM (29 days, 17 hours ago) |
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I see where this is going, but would it not be most valuable to have your own enlightening insights personally?
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sudly
Darwin's stagger

Registered: 01/05/15
Posts: 10,797
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: redgreenvines]
#28602728 - 12/29/23 08:42 PM (29 days, 17 hours ago) |
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In the last month or two, the development of this paradigm represents several days of intensive work, extending to weeks if we include ongoing reflections and note-taking. This paradigm isn't merely an abstract concept; it has become a meticulously crafted conglomeration of my insights, now shared as a practical tool.
The essence of my insights lies in the foundational framework of this paradigm. It's what enables the AI-mediated analysis to function effectively. This paradigm isn't just a concept; it's a medium through which you can apply your own insights and experiences. When you use this paradigm with AI, such as Chat GPT, you're actually engaging with my insights structured into a format that can provide tailored feedback based on your inputs.
You'll respond accordingly in your own way by engaging with the paradigm to explore your own narratives, guided by the structure and insights I've provided, or not. This is merely an invitation to view your personal experiences through a multifaceted lens that I've developed.
While I can't directly transfer my experiences or the nuanced understanding that led to these insights, what I offer is a structured way for you to explore and understand your own. By applying your scenarios to this AI-mediated paradigm, you receive interpretations and insights that are reflective of my own, but tailored to your unique context and experiences. It's a collaborative exploration of cognition and adaptive responses, where my insights serve as the foundation for you to build and understand your own narrative.
If you want my insights, embrace the template, share your narrative, and reflect, because your insights are your own, and I can't tell you what my insights are directly, because I don't know what parts of your narrative I'm supposed to be applying them to, I don't know what your hesitations, aspirations, resources, memories, families or personal lives are like. You know yourself better than I have any idea of what your narrative is, this is just my insights in software form.
Quote:
The key role of AI in the Dynamic Interpretive Autopoiesis paradigm is to handle its complexity. The paradigm has nine dimensions and twenty-seven components, which is a lot for anyone to analyse manually. AI is great at dealing with this kind of complexity. It can quickly process all the different parts of the paradigm and give back insights that are specific to a person’s situation. This makes the paradigm not just a theory, but a useful tool that anyone can use for understanding themselves better. AI's ability to do this kind of deep and detailed analysis transforms the paradigm into a practical tool for personal growth and exploration of cognitive processes.

-------------------- I am whatever Darwin needs me to be.
Edited by sudly (12/29/23 09:01 PM)
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Freedom
Pigment of your imagination



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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28602752 - 12/29/23 09:43 PM (29 days, 16 hours ago) |
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Could the AI help find unrecognized assumptions built into the model?
Thats one of the tricky things with these kind of models, unchecked assumptions in the model can give skewed results
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sudly
Darwin's stagger

Registered: 01/05/15
Posts: 10,797
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: Freedom]
#28602782 - 12/29/23 10:45 PM (29 days, 15 hours ago) |
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At its core this is a paradigm, and not a conventional model. The distinction lies in its purpose and application. A model typically aims to predict or simulate specific outcomes based on a set of variables and assumptions. In contrast, a paradigm like this one serves as a comprehensive framework or lens through which we can interpret and understand complex cognitive processes and their interactions with the environment.
The interpretive nature of this paradigm means that the outcomes are heavily influenced by the inputs provided. Therefore, consistently skewed or unexpected results may suggest underlying biases or assumptions either within the paradigm or in its application.
However, defining what constitutes 'skewed' or 'unexpected' in this context is subjective and depends largely on the user's perspective and objectives.
It's important to note the sensitivity of the paradigm to input nuances. Even minor alterations can lead to significantly different outcomes. This sensitivity underscores the interpretive nature of the analysis; results are not strictly right or wrong but are reflections of the input data through the paradigm's multifaceted lens.
When faced with unexpected results, it's an invitation to delve deeper. Are these outcomes offering new perspectives, or do they indicate a need for adjustments in the inputs? It's a process of continuous exploration and refinement.
While the paradigm aims to provide broad and nuanced perspectives, it's crucial to stay alert to the influence of the input data and the interpretative nature of the results. Continuous reflection and adjustment of these inputs, especially when combined with AI's analytical capabilities, are key to harnessing the full potential of this paradigm.
Moreover, the role of AI in this paradigm cannot be overstated. Its ability to process and analyse complex data through the framework of the paradigm enhances our understanding and brings a level of depth and precision that would be challenging to achieve manually. AI's analytical capabilities are integral to uncovering insights and facilitating the interpretive process, making it a valuable ally in exploring and understanding the complexities of cognitive processes and environmental interactions.
-------------------- I am whatever Darwin needs me to be.
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redgreenvines
irregular verb


Registered: 04/08/04
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28602957 - 12/30/23 05:29 AM (29 days, 8 hours ago) |
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it might help you get rich
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sudly
Darwin's stagger

Registered: 01/05/15
Posts: 10,797
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: redgreenvines]
#28602973 - 12/30/23 05:51 AM (29 days, 8 hours ago) |
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It's open source.
-------------------- I am whatever Darwin needs me to be.
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Freedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28603147 - 12/30/23 09:31 AM (29 days, 4 hours ago) |
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You might find this interesting
I could see it an example of something that might come out of your thing, as well something that you could use as part of its frame work.
From their main paper:
Quote:
Many negatively connoted personality traits (often termed “dark traits”) have been introduced to account for ethically, morally, and socially questionable behavior. Herein, we provide a unifying, comprehensive theoretical framework for understanding dark personality in terms of a general dispositional tendency of which dark traits arise as specific manifestations. That is, we theoretically specify the common core of dark traits, which we call the Dark Factor of Personality (D). The fluid concept of D captures individual differences in the tendency to maximize one’s individual utility—disregarding, accepting, or malevolently provoking disutility for others—accompanied by beliefs that serve as justifications. To critically test D, we unify and extend prior work methodologically and empirically by considering a large number of dark traits simultaneously, using statistical approaches tailored to capture both the common core and the unique content of dark traits, and testing the predictive validity of both D and the unique content of dark traits with respect to diverse criteria including fully consequential and incentive-compatible behavior. In a series of four studies (N > 2,500), we provide evidence in support of the theoretical conceptualization of D, show that dark traits can be understood as specific manifestations of D, demonstrate that D predicts a multitude of criteria in the realm of ethically, morally, and socially questionable behavior, and illustrate that D does not depend on any particular indicator variable included.
Edited by Freedom (12/30/23 09:32 AM)
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sudly
Darwin's stagger

Registered: 01/05/15
Posts: 10,797
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: Freedom]
#28603461 - 12/30/23 03:28 PM (28 days, 22 hours ago) |
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The output is a fleshed out version of the template tailored to your input.
The template is the framework. The theory behind it is just logic. Have you tried it?
-------------------- I am whatever Darwin needs me to be.
Edited by sudly (12/30/23 03:37 PM)
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Freedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28603758 - 12/30/23 07:37 PM (28 days, 18 hours ago) |
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no where do i find it?
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sudly
Darwin's stagger

Registered: 01/05/15
Posts: 10,797
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: Freedom]
#28603774 - 12/30/23 07:47 PM (28 days, 18 hours ago) |
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It's in the intro to this thread, the Integrated Matrix Template.
Quote:
TLDR: Copy the Integrated Matrix Template, paste it into AI like Chat GPT, write, 'Use the paradigm to analyse this case example', then detail any task or situation at hand, recieve a breadthe of tailored perspectives, then reflect, and repeat. (If using GPT 3.5, you may have to ask to focus on the 3 components of one or a few dimensions at a time, no issues with GPT 4)
-------------------- I am whatever Darwin needs me to be.
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Freedom
Pigment of your imagination



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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28603815 - 12/30/23 08:17 PM (28 days, 17 hours ago) |
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I didn't realize it was that easy! my god. I usually TSDR TLDRs if i read the long part
this is blowing my mind, i didn't even think of putting in so many concepts and doing analysis, I'll definitely try it out
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Freedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly] 1
#28603839 - 12/30/23 08:37 PM (28 days, 17 hours ago) |
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So I just tried it out and I love it.
My mind is always seeking and exploring new ideas searching for veins of gold, i love this idea of looking at things from so many angles at once, I will probably create my own template(s)
thanks for sharing this
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sudly
Darwin's stagger

Registered: 01/05/15
Posts: 10,797
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: Freedom]
#28603848 - 12/30/23 08:44 PM (28 days, 17 hours ago) |
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Remember that even slight differences in the input can lead to different results. I think it provides the most when used in an iterative way.
Sometimes it's nice to hear nuanced perspectives we may not have considered thoroughly before.
And that's the idea, as it is I think it's a relatively thorough standard, but the components aren't static and developing different varieties might help to further tailor the output.
-------------------- I am whatever Darwin needs me to be.
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Freedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28603861 - 12/30/23 08:56 PM (28 days, 16 hours ago) |
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I just found a tool to augment a query with lots of your own data. For example you could use an entire cognitive science book as part of your query (if you have the pdf)
https://docs.llamaindex.ai/en/stable/
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sudly
Darwin's stagger

Registered: 01/05/15
Posts: 10,797
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: Freedom]
#28603869 - 12/30/23 09:02 PM (28 days, 16 hours ago) |
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Technically sure, but you'd probably need a lot of computational power, that or going through only a few components or a dimension at a time.
Then again, I did just find a list of abstracts from recently published articles and put the abstract of the second one through the template, and GPT 4 handled it fine, so I suppose the computational power is already there really. Putting the whole PDF through I did have to focus on one dimension at a time for a good depth of analysis, but it's there.
Quote:
Abstracts of recent articles published in Psychology Teaching Review
Argument complexity: Teaching undergraduates to make better arguments
Matthew A. Kelly and Robert L. West Psychology Teaching Review, 23(2), 20–31.
The task of turning undergrads into academics requires teaching them to reason about the world in a more complex way. We present the Argument Complexity Scale, a tool for analysing the complexity of argumentation, based on the Integrative Complexity and Conceptual Complexity Scales from, respectively, political psychology and personality theory. Argument Complexity classifies arguments based on acknowledgement and consideration of conflicting evidence or conflicting frameworks for judging the issue, use of frameworks for evaluating evidence, and use of meta-frameworks for evaluating frameworks. We discuss how the Argument Complexity Scale can be used to teach undergraduate students to reason and write like academics by providing the scaffolding for forming complex argumentation.
https://journals.sagepub.com/doi/full/10.1177/1475725717747784
Edited by sudly (12/30/23 09:58 PM)
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redgreenvines
irregular verb


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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly] 1
#28604089 - 12/31/23 03:27 AM (28 days, 10 hours ago) |
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⭐⭐⭐⭐⭐
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Freedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28604335 - 12/31/23 08:46 AM (28 days, 5 hours ago) |
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Quote:
sudly said: Technically sure, but you'd probably need a lot of computational power, that or going through only a few components or a dimension at a time.
Then again, I did just find a list of abstracts from recently published articles and put the abstract of the second one through the template, and GPT 4 handled it fine, so I suppose the computational power is already there really. Putting the whole PDF through I did have to focus on one dimension at a time for a good depth of analysis, but it's there.
Quote:
Abstracts of recent articles published in Psychology Teaching Review
Argument complexity: Teaching undergraduates to make better arguments
Matthew A. Kelly and Robert L. West Psychology Teaching Review, 23(2), 20–31.
The task of turning undergrads into academics requires teaching them to reason about the world in a more complex way. We present the Argument Complexity Scale, a tool for analysing the complexity of argumentation, based on the Integrative Complexity and Conceptual Complexity Scales from, respectively, political psychology and personality theory. Argument Complexity classifies arguments based on acknowledgement and consideration of conflicting evidence or conflicting frameworks for judging the issue, use of frameworks for evaluating evidence, and use of meta-frameworks for evaluating frameworks. We discuss how the Argument Complexity Scale can be used to teach undergraduate students to reason and write like academics by providing the scaffolding for forming complex argumentation.
https://journals.sagepub.com/doi/full/10.1177/1475725717747784
I'm curious why it would use a lot of processing power, as the text of a book isn't data heavy
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sudly
Darwin's stagger

Registered: 01/05/15
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: Freedom]
#28604369 - 12/31/23 09:24 AM (28 days, 4 hours ago) |
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For a computer I guess it's not that much computational power, it's just these kind of AI tend to have a word limit for their output, so with long text inputs, the output just has more depth, more words, and to fit that word limit some detail might be cut. Again though, just breaking down the output to that of separate dimensions or components seems to compensate the effect
-------------------- I am whatever Darwin needs me to be.
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Kickle
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
#28604374 - 12/31/23 09:28 AM (28 days, 4 hours ago) |
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If the output stops before it completes, simply type 'continue'
There is a token limit imposed for generations. It is not a model limitation.
-------------------- Why shouldn't the truth be stranger than fiction? Fiction, after all, has to make sense. -- Mark Twain
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