LegionIO is an extensible framework for running, scheduling and building relationships of tasks in a concurrent matter

LegionIO is an extensible framework for running, scheduling and building relationships of tasks in a concurrent matter

Peirce abductive reasoning engine — inference to the best explanation for brain-modeled agentic AI

Gibson's ecological affordance perception for LegionIO — detecting action possibilities in the environment

Implements Bandura's self-efficacy theory for LegionIO agents — tracks belief in ability to achieve outcomes across domains, mastery experiences, vicarious learning, and agency attribution.

Analogical reasoning engine (Gentner structure mapping, Hofstadter, Holyoak multi-constraint) for brain-modeled agentic AI

Decision anchoring and reference point effects for brain-modeled agentic AI

Cognitive deficit awareness modeling for brain-modeled agentic AI — tracks blind spots, awareness gaps, and calibration

Lazarus's Cognitive Appraisal Theory for brain-modeled agentic AI

Toulmin-model argument mapping for LegionIO — claim/grounds/warrant/backing/qualifier/rebuttal argument construction, strength assessment, and soundness evaluation

Yerkes-Dodson arousal regulation for brain-modeled agentic AI

Selective attention filter for brain-modeled agentic AI

Models the refractory period after processing a salient stimulus, causing temporary reduced processing quality for subsequent stimuli.

Models attention as a scarce resource for brain-modeled agentic AI; allocates a limited attention budget across competing demands using economic principles

Attention regulation engine for LegionIO — spotlight model, zoom control, resource allocation, and salience-driven capture

Graziano's Attention Schema Theory for brain-modeled agentic AI — the agent maintains a simplified internal model of its own attention process, enabling awareness attribution, social attention modeling, meta-attention monitoring, and natural-language attention reports.

Spotlight model of attention (Posner + Eriksen zoom lens) for brain-modeled agentic AI

Models the cognitive cost of switching between tasks including residual activation, warmup time, context restoration, and practice effects.

Bayesian belief updating engine (prior + evidence = posterior) for brain-modeled agentic AI

Belief network engine for LegionIO — Bayesian updating, evidence weighting, and principled belief change