Villacorta Atienza, José AntonioGarcía Velarde, ManuelMakarov Slizneva, ValeriyArena, PaoloPatané, Luca2024-02-022024-02-022013Villacorta-Atienza, J., Velarde, M., Makarov, V. (2014). Compact Internal Representation of Dynamic Environments: Simple Memory Structures for Complex Situations. In: Arena, P., Patanè, L. (eds) Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II. Cognitive Systems Monographs, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-02362-5_3978-3-319-02361-8978-3-319-02362-5 (online)1867-492510.1007/978-3-319-02362-5_3https://hdl.handle.net/20.500.14352/98526In this chapter the novel concept of Compact Internal Representation (CIR) is introduced as a generalization of the internal representation extensively used in literature as a base for cognition and consciousness. CIR is suitable to represent dynamic environments and their potential interactions with the agent as static (time-independent) structures, suitable to be stored, managed, compared and recovered by memory. In this work the application of CIR as the cognitive core of moving autonomous artificial agents is presented in the context of collision avoidance against dynamical obstacles. The structure that emerges, even if not directly related to the insect neurobiology, is quite simple and could enhance the capabilities of the computational model already presented in the previous chapter, in view of its robotic implementation.engbook part1867-4933https://doi.org/10.1007/978-3-319-02362-5_3https://link.springer.com/chapter/10.1007/978-3-319-02362-5_3#chapter-infohttps://link.springer.com/book/10.1007/978-3-319-02362-5open access007.52004.896519.87Internal RepresentationBorder CellStable Steady StateDynamic SituationVirtual AgentCienciasRobóticaFísica-Modelos matemáticos24 Ciencias de la Vida1203.04 Inteligencia Artificial