Complex Reasoning Systems "Reasoning Boxes"
Our team, led by founding father and internationa l authority in the field, Luis Martín "The Druid", is a world leader in R&D and innovative design in this field.
We use the concept of "Complex Reasoning Systems", to refer to the AI subdiscipline whose antecedents are bioneurocognitive automatic reasoning systems and complex systems, designed to link structures of models, submodels, and reasoning techniques to generate adaptive and evolutionary search-inference-learning sequences. Their purpose is to fulfill both self-imposed objectives and those defined by the intelligent ecosystem, yielding emergent properties of self-repair, self-preservation, and self-reference in conventional and unconventional reasoning (Luis Martín “The Druid”, 2025).
A Complex Reasoning Systems Architecture is the structured set of intelligent agents and entities that enables the inference sequences required to achieve mission objectives in a timely manner, autonomously or collaboratively, using the resources provided for that mission (Luis Martín “The Druid”, 2025).
Our knowledge map of capabilities in Complex Reasoning Systems:
CRS Conceptual Models (Deductive, Inductive, Abductive, Retroductive and Unconventional RSM).
CRS Submodels (Analytic, Synthetic, Analogical, Qualitative, Argumentative, Causal, Deliverative, Investigative, Situational, Spatial, Strategic, Decisional, Probabilistic, Predictive, Heuristic, Counterfactual, Critical, Commonsense, Defeasible, State-Transition, Complex Domains, Genetic, Quantum, etc). Hundreds of associated reasoning techniques.
CRS Modeling Approach (Rule-based, Evidence-Based, Case-Based, Ontology-Based, Constraint-Based, Uncertainty-Based, Goals-Based, Bayesian, Fuzzy, etc).
CRS SW Techniques (KB/LLMs Inference Engines, BDI/SIL/GOSIL Agents, SRS Thought Chains, Hypothesis T&M, Rational/Belief/Neural Nets, Evolutive DecTrs, CogCubes, CelularRsn, MicroTbl Rss, etc).
CRS Engineering (Bio, Neuro, Cognitive CRS Engineering).
CRS Capabilities (MD Situational Awareness, Strategy P&E, RT Decision Making, Real-World Problem Solving, Goals Mgmt, Multi Learning, Creativity Bld, GTA Bhv).
CRS HPI Apps (C2IMP, CogTools for Complex Cases P&R, HPI Devices, etc).
CRS MI/DIE Apps (Adaptaive, Evolving and Autonomous Experts, Commanders/CEOs, Units, Robots, Operational Systems, Services and Infrastructures).
Classified research in design CRS Architectures (CRAgents, ACREs, BREs, UCREs) "Reasoning Boxes": Multipurpose, Custom-Made, Critical Real-Time, Distributed, Embedded, Pervasive, Hybrid, etc.
Figure: 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 on a UAV.