The analogical intelligence could be emulated by the unicist AI using unicist logic that allowed building expert systems to solve the difficulty of integrating the multiple aspects that participate in the occurrence of events in adaptive systems or environments.
Unicist analogical intelligence is based on the use of unicist logic that emulates the functionality, dynamics, and evolution of adaptive environments. It is a reasoning process that allows adapting to the environment by recognizing patterns of a particular object and transferring them to another. It implies inferring arguments from one entity to another similar entity.
Analogical intelligence drives the majority of everyday decisions. It is based on the observable aspects of events. It differs structurally from abductive, inductive, and deductive reasoning processes, which deal with the root causes of the functionality of entities.
The unicist logic establishes the inference rules for analogical reasoning. The inference process begins by defining the gravitational force that establishes the basics of something in order to be believed and then the functionality of a catalyst that establishes a space that makes things exist and drives the synchronicity of actions.
When these two elements are given, the functionality of an entity is defined by a purpose and is integrated by a maximal strategy, that drives its growth, and a minimum strategy, that sustains its survival. The maximal strategies are based on establishing a supplementary relationship with the purpose and the minimum strategies are based on a complementary relationship.
This abstract approach can be understood by explaining the functionality of the expert system for innovative value propositions.
Application: Innovative Value Propositions Building
An innovative value proposition is feasible if the proposal has a sponsor within or outside the potential client. It should not be made if this is not the case. The first stage is ensuring the existence of sponsors. A sponsor is a witness of the functionality of the solution that is being proposed.
Based on the existence of a sponsor, the next stage is to confirm a functional positioning of the proponent in the market that allows being perceived as having an authoritative role.
Value propositions begin to be meaningful when there exist sponsors and the positioning of the company is influential.
The development of innovative value propositions to companies requires segmenting according to their type of business process organization. The segmented approach according to the role of the person who is contacted allows materializing the value propositions.
The business approach is complemented by the personal attitude of the participants of the buying processes, who need to be addressed in a way that makes the value proposition desirable.
The objective of the use of unicist logic is understanding the operational functionality of entities to define the actions needed to achieve objectives that have been established.
This analogical approach allows establishing four different types of actions that drive the influential actions in a business environment:
- UBA1a: Installing the catalyst based on the brand positioning
- UBA1b: Making the credibility based on the functionality of the sponsors
- UBA2a: Ensuring the value of the propositions according to the role of the participants
- UBA2b: Making a value proposition that is desirable based on the personal characteristics of the participants
The Categorization of the Elements of an Adaptive System
The categorization of the entities, to make inferences, is based on a unicist logical approach, which implies using the implicit double dialectics of the logic. This categorization of an entity implies the definition of its orientation. The category is on the one hand, oriented either towards expansion or contraction and, on the other, it is oriented towards freedom or security.
By just classifying the data or facts based on these alternatives, the positioning of an entity will have been defined and allows establishing the complementary or supplementary relationships with the other components of the system.
The Unicist Homological AI
There is a homological intelligence to manage the root causes of the functionality of adaptive systems and environments, which is based on the use of the ontogenetic map of their functionality. It is based on the use of abductive, inductive, and deductive reasoning processes, which allow dealing with the solution of complex problems in adaptive environments.
The unicist expert systems are based on unicist analogical AI because they allow making an intuitive approach to business processes. The homological approach is used to learn from the environment and modify the content of the expert systems.
NOTE: The Unicist Research Institute (TURI) is a world leader in its segment. Since 1976, it has been specialized in complexity sciences applied to the research on the roots of evolution and its application to social, institutional, business and individual evolution.