[SECTION_REASONING]

COMPLEX REASONING SYSTEMS
“Reasoning Boxes”

> Our team, led by the founding father and international authority in the discipline of complex reasoning systems design, Luis Martín “The Druid”, is a world leader in R&D and innovative design in this field.

CRS_DEFINITION

We use the concept of “Complex Reasoning Systems” to refer to the AI sub-discipline whose antecedents are bioneurocognitive automatic reasoning systems and complex systems, designed to link model structures, submodels and reasoning techniques to generate adaptive and evolutionary sequences of search-inference-learning.

Its purpose is to fulfill both self-imposed objectives and those defined by the intelligent ecosystem to which it belongs, generating emergent properties of self-repair, self-preservation and self-reference of conventional and non-conventional reasoning.

Luis Martín “The Druid”, 2025
[KNOWLEDGE_MAP]

CRS_KNOWLEDGE_MAP

[FILE_001]

CONCEPTUAL_MODELS

Deductive, Inductive, Abductive, Retroductive and Non-Conventional

DeductiveInductiveAbductiveRetroductiveNon-Conventional
[FILE_002]

CRS_SUBMODELS

Hundreds of associated reasoning techniques

analyticalsyntheticanalogicalqualitativeargumentativecausaldeliveryinvestigativesituationalspatialstrategicprobabilisticpredictiveheuristiccounterfactualcriticalcommon senserefutablestate transitioncomplex domainsgeneticquantumetc.
[FILE_003]

MODELING_APPROACH

  • >rule-based
  • >evidence-based
  • >case-based
  • >ontology-based
  • >constraint-based
  • >uncertainty-based
  • >goal-based
  • >bayesian
  • >fuzzy
[FILE_004]

CRS_SOFTWARE_TECHNIQUES

  • >KB/LLMs inference engines
  • >BDI/SIL/GOSIL agents
  • >SRS thought chains
  • >hypothesis testing and measurement
  • >neural/rational/belief networks
  • >evolutionary DecTrs
  • >CogCubes
  • >CellularRsn
  • >MicroTbl RSS
[FILE_005]

CRS_ENGINEERING

CRS Bio Engineering
CRS Neuro Engineering
CRS Cognitive Engineering
[CRS_CAPABILITIES]

CRS_CAPABILITIES

Multidimensional Situational Awareness

P&E Strategy

Real-Time Decision Making

Real World Problem Solving

Goal Management

Multiple Learning

Creativity Development

GTA Behavior

[APPS_HPI]

CRS_HPI_APPLICATIONS

  • >C2IMP
  • >CogTools for Complex Case P&R
  • >HPI Devices
[APPS_MI_DIE]

CRS MI/DIE APPLICATIONS

  • >Experts
  • >Commanders/CEOs
  • >Units
  • >Robots
  • >Operational Systems
  • >Adaptive, Evolutionary and Autonomous Services and Infrastructures
[CLASSIFIED RESEARCH]

CRS ARCHITECTURES

Classified research in CRS Architecture design:

CRAgentsACREsBREsUCREs
[REASONING BOXES]

REASONING BOXES

MultipurposeCustomCritical Real-TimeDistributedEmbeddedPervasiveHybrid
[PROCESS_NOTE]

SMARTIFICATION_PROCESS

Simplified view of a “Smartification” process by LMT “The Druid”: encapsulated in an intelligent reasoning agent for autonomous recognition and analysis of covert military installations in a UAV.

[STEP_01]
INPUT
Environment data
[STEP_02]
REASONING BOX
Complex inference
[STEP_03]
OUTPUT
Autonomous decision
SEARCH—>INFERENCE—>LEARNING
Automated reasoning sequences diagram