The paper introduces a mathematical model of the Motivated Emotional Mind cognitive architecture for embodied intelligent systems, describing how the system learns to maintain homeostasis via motivated learning—a reinforcement‑learning variant driven by internal motivations. It formalizes a re‑entrant loop that integrates feedforward processing, lateral interactions, and feedback pathways, and details how exteroceptive and interoceptive signals, bodily context, and memory traces form associative structures called semblions that compete for processing and reconstruction. The model incorporates need thresholds, goal dynamics, bodily state, resource constraints, and action uncertainty, and posits global affect as a central control signal modulating learning rate, representational valence, and exploration‑exploitation balance.
arXiv:2607. 13560v1 Announce Type: cross Abstract: Recent advances in generative and embodied AI have been driven by large-scale predictive learning over multimodal data.
By Giovanni Pezzulo, Davide Nuzzi, Marco D'Alessandro, Riccardo Proietti, Roberto Bottini, Paul Cisek
The paper proposes a developmental framework for autonomous artificial agents that emphasizes learning social norms and alignment through direct interaction with dynamic environments. It argues that intrinsic motivations such as curiosity and competence can guide exploration, but also complicate alignment with human goals. By drawing parallels to child development, the authors suggest that regulatory sandboxes serve as pedagogical spaces where agents gradually acquire moral agency and adapt their behaviors through experience and cooperation.
By Marica Notte, Ludovica Marinucci, Vieri Giuliano Santucci
arXiv:2609.17325v1 Announce Type: new
Abstract: Biological cells can be viewed as individual, interacting agents whose collective dynamics give rise to adaptive behaviour at multiple levels of organi...
By Anatoly Belikov
arXiv:2609.06654v1 Announce Type: new
Abstract: Computational modeling of emotion has long faced a tension between descriptive, "snapshot-based" appraisal models and granular, signal-driven architect...
By Bernhard Hilpert, Tam\'as Sz\H{u}cs, Joost Broekens, Agnes Moors
arXiv:2609.22691v1 Announce Type: new
Abstract: An enduring and richly elaborated dichotomy in cognitive neuroscience is that of human behavior control mechanisms, divided into habitual versus goal-d...
By Chongyu Bao, Haokai Yang, Yuhan Wang, Zhaochong An, Kunpeng Liu, Xiaolan Liu