CXXCmotiv

CXXCmotiv is a conceptual framework for modeling motivation in cognitive architectures and autonomous agents. The name combines CXX, a common shorthand for C++, with motiv, short for motivation, signaling its focus on computational drives that guide behavior. It is described as a modular, extensible platform intended to support the study of intrinsic motivation, curiosity, and goal-directed exploration across diverse environments.

Core ideas attributed to CXXCmotiv include decomposing motivation into intrinsic rewards, social or task-related signals, and long-term goals; a policy interface that lets agents balance exploration and exploitation; and a lightweight mechanism for curating and evaluating motivational policies. The framework emphasizes modular components such as an intrinsic reward calculator, a curiosity or novelty module, a planning and goal-management component, and tools for benchmarking and analysis.

Implementation status varies in the literature; there is no single official standard specification. Researchers have proposed toy and reference implementations in C++ and bindings to Python to demonstrate concepts like curiosity-driven exploration, adaptive planning, and modular policy composition. Use cases cited include cognitive robotics, developmental AI, and adaptive user interfaces, where agents adapt their behavior based on perceived novelty, uncertainty, or user intent.

CXXCmotiv remains primarily a research-oriented concept with ongoing discussions about measurement, interpretability, and alignment of motivational signals with desired outcomes. See also intrinsic motivation, curiosity, reinforcement learning, and developmental robotics.