Re: AI

From the three paragraphs I've added, I think that a StratML like means of
understanding, remembering, communicate and behave in a given context of
reality, developed from and within the nature of a given system, will be a
kind symptom of such system having developed "intelligence" (understanding)..

Online at:
https://sebxama.blogspot.com/2025/05/ai-english.html

Regards,
Sebastián.

---

Saying Artificial Intelligence in and of itself is an oxymoron.
Intelligence is a natural attribute that emerges in a given system, organic
for example, as the result of learning to solve problems that arise in a
given context due to the need to satisfy certain needs.

Instinct is nothing more than that same learning codified at a more basic
or "automatic" level, while intelligence in the form of knowledge is the
ability to transfer previous experiences to new contexts and the capacity
to draw analogies between different elements and their roles in each new
context for decision-making.

Every system has an underlying intelligence subject to the domain of the
needs to be resolved inherent to its function in its context or, in other
words, how its existence fits into its context to minimally guarantee, if
only its survival—its most basic need—among the other roles of its context
thanks to the stability achieved so that each system subsists after having
"learned," first through trial and error, and then by applying acquired
knowledge, how to interact in each situation.

The concept of "purpose" and its most basic manifestation in the resolution
of needs is fundamental to understanding the power of developing the
attribute of "intelligence" in any system. The most basic purpose is
subsistence. The evolution of more elaborate purposes, which lead to more
complex needs, is the "intelligent" learning of behaviors that have yielded
satisfactory results, becoming "reasons" or "causes" that justify certain
goal-directed behaviors.

The tool upon which the attribute "intelligence" is built in an entity or
system is the notion of consciousness, or the understanding of the
intelligent system as an entity "aware" of itself, of what it "is" on the
inside, the understanding of its composition, needs, and capabilities, and
of what it "is not," that is, its surrounding circumstances. Other systems
and entities are understood through "empathy," or the learned knowledge of
the roles and purposes of other types of systems around it, perhaps also
intelligent with their own particular roles and purposes.

The most distinctive feature of an entity or system that has developed the
attribute "intelligence" is its ability to develop or "engender" new
entities or systems and the ability to turn these new systems into "tools"
for resolving the needs of its purposes, this "generative" mechanism
becoming a purpose in itself. Biological systems have this intelligence
built into their nature. Reproduction is a means of ensuring survival
through the existence of a group of "peers" of the same species who protect
and collaborate with each other.

In itself, an "intellectual" system, a product of the evolution of a
biological system, develops this capacity to generate systems or tools to
resolve the needs of the purposes it has adopted throughout its interaction
with its peers and with other systems around it throughout its existence
and evolution.

The most elaborate tool that intelligence can generate is language. It is a
tool that allows us to create, describe, explain, and understand other
tools, systems, and contexts. Sign systems are the embodiment of the
relationship between objects, the concepts that represent and abstract
them, and the act of sharing the notion of these concepts among peers
through their communication by means of the agreed-upon use of common
signs. Language is the manifestation of intelligence in the form of a
system in which entities describe and communicate with each other, as well
as describe and communicate with other local or remote entities and
contexts.

Beyond that, the creation of languages that describe languages and the
creation of the tools that "understand" these languages are always linked
to the resolution of the needs to be satisfied in pursuit of a specific
purpose. The creator of a language is the "intelligence," and "artificial"
languages are tools, perhaps "general purpose," but always oriented to the
type of need to be resolved for which they were created. An "intelligent"
system should have a notion of the act of communicating, of the "I," of the
"you," of the "it," as a mechanism for resolving needs that, if present on
him, would pursue some kind of purpose.

In resume, language is the tool that gave us the notion of being "peers" of
each other, an intelligence in the means of "understanding" each other and
their contexts of being other entities with their own purposes and needs in
the form of an "empathy" of their roles in such given contexts. Language is
the ability to translate the representation of some context of reality in a
given system of symbols, from nature for example, into another system of
symbols, enabling the main goals of intelligence as a vehicle for
understanding, remember, communicate and behave in such represented
contexts of reality.



On Sun, May 25, 2025, 4:04 PM Owen Ambur <owen.ambur@verizon.net> wrote:

> Good points, about which ChatGPT concludes:
>
> The blog post argues that intelligence is the emergent coordination of
> purpose, learning, context-awareness, and generativity. StratML embodies
> this paradigm by structuring the intentions, roles, and performance
> expectations of systems — thus making them legible to both humans and
> machines. In this sense:
>
> StratML operationalizes the theory of intelligence articulated in the blog
> — by serving as the semantic infrastructure for intelligent, purpose-aware
> systems.
>
>
> https://chatgpt.com/share/6833679a-d374-800b-ba68-95ba2c6e000e
>
> See also Consciously Connected Communities
> <https://www.linkedin.com/pulse/consciously-connected-communities-owen-ambur/>
> , Effecting Change in Complex Systems
> <https://www.linkedin.com/pulse/effecting-change-complex-systems-owen-ambur/> and
> perhaps Emergence + Supermajoritarianism
> <https://www.linkedin.com/pulse/emergence-supermajoritarianism-owen-ambur-ccbee/>
>
> Owen Ambur
> https://www.linkedin.com/in/owenambur/
>
>
> On Sunday, May 25, 2025 at 01:22:29 PM EDT, Sebastian Samaruga <
> ssamarug@gmail.com> wrote:
>
>
> Saying Artificial Intelligence in and of itself is an oxymoron.
> Intelligence is a natural attribute that emerges in a given system, organic
> for example, as the result of learning to solve problems that arise in a
> given context due to the need to satisfy certain needs.
>
> Instinct is nothing more than that same learning codified at a more basic
> or "automatic" level, while intelligence in the form of knowledge is the
> ability to transfer previous experiences to new contexts and the capacity
> to draw analogies between different elements and their roles in each new
> context for decision-making.
>
> Every system has an underlying intelligence subject to the domain of the
> needs to be resolved inherent to its function in its context or, in other
> words, how its existence fits into its context to minimally guarantee, if
> only its survival—its most basic need—among the other roles of its context
> thanks to the stability achieved so that each system subsists after having
> "learned," first through trial and error, and then by applying acquired
> knowledge, how to interact in each situation.
>
> The concept of "purpose" and its most basic manifestation in the
> resolution of needs is fundamental to understanding the power of developing
> the attribute of "intelligence" in any system. The most basic purpose is
> subsistence. The evolution of more elaborate purposes, which lead to more
> complex needs, is the "intelligent" learning of behaviors that have yielded
> satisfactory results, becoming "reasons" or "causes" that justify certain
> goal-directed behaviors.
>
> The tool upon which the attribute "intelligence" is built in an entity or
> system is the notion of consciousness, or the understanding of the
> intelligent system as an entity "aware" of itself, of what it "is" on the
> inside, the understanding of its composition, needs, and capabilities, and
> of what it "is not," that is, its surrounding circumstances. Other systems
> and entities are understood through "empathy," or the learned knowledge of
> the roles and purposes of other types of systems around it, perhaps also
> intelligent with their own particular roles and purposes.
>
> The most distinctive feature of an entity or system that has developed the
> attribute "intelligence" is its ability to develop or "engender" new
> entities or systems and the ability to turn these new systems into "tools"
> for resolving the needs of its purposes, this "generative" mechanism
> becoming a purpose in itself. Biological systems have this intelligence
> built into their nature. Reproduction is a means of ensuring survival
> through the existence of a group of "peers" of the same species who protect
> and collaborate with each other.
>
> In itself, an "intellectual" system, a product of the evolution of a
> biological system, develops this capacity to generate systems or tools to
> resolve the needs of the purposes it has adopted throughout its interaction
> with its peers and with other systems around it throughout its existence
> and evolution.
>
> https://sebxama.blogspot.com/2025/05/ai-english.html
>
>