RT Book, Section
T1 Compact Internal Representation of Dynamic Environments: Simple Memory Structures for Complex Situations
A1 Villacorta Atienza, José Antonio
A1 García Velarde, Manuel
A1 Makarov Slizneva, Valeriy
A2 Arena, Paolo
A2 Patané, Luca
AB In 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.
PB Springer
SN 978-3-319-02361-8
SN 978-3-319-02362-5 (online)
SN 1867-4925
YR 2013
FD 2013
LK https://hdl.handle.net/20.500.14352/98526
UL https://hdl.handle.net/20.500.14352/98526
LA eng
NO Villacorta-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_3
DS Docta Complutense
RD 7 abr 2025