MetaMo (Motivational Framework)
Responsible: Ruiting Lian, Ben Goertzel
MetaMo models motivation in open-ended intelligent agents as a dynamical system coupling appraisal with decision processes. It shapes PLN control dynamics, regulates exploration–exploitation tradeoffs, and embeds safety constraints within motivational dynamics.
</> Example Implementation
Motivational dynamics
Demonstrates MetaMo's motivational framework coupling appraisal with action selection.
; MetaMo goal-motivation system
; Appraisal + decision coupling
!(define-goal
(goal explore-environment
(urgency 0.8)
(importance 0.6)))
!(metamo-step
(appraise current-state goals)
(select-action
(balance exploration exploitation)))
Technical Deep Dive: MetaMo Full — pseudo-bimonad structure, OpenPsi appraisal comonad + MAGUS decision monad, contractive update dynamics, AGI 2025 papers, and implementation findings.