Robotic Dreams: A Computational Justification for the Post-Hoc Processing of Episodic Memories

Abstract

As part of the development of the Symbolic and Sub-symbolic Robotics Intelligence Control System (SS-RICS), we have implemented a memory store to allow a robot to retain knowledge from previous experiences. As part of the development of the event memory store justi¯cation for an o®-line, unconscious, cueing process was tested. Three strategies for the recognition of previous events were compared. The¯rst strategy stored all memories and searched all of the memories for a match to the current event. The second strategy searched memories while an event was taking place and started the search with the most recent memory¯rst. Finally, a third strategy postprocessed all memories using pruning, abstraction, and cueing. Pruning removed memories, abstraction used categories to reduce metric information, and the cueing process provided pointers for the subsequent recognition of episodes. We found that post-processing memories as an unconscious process was the most e±cient strategy. This computational implementation provides a justi¯cation for the post-processing of memories as an e±cient means of memory retrieval.

Numerosity estimates for attended and unattended items in visual search

“…The goal of these experiments was to understand the influences on estimation of item numerosity within visual search, where estimation is not the primary task..These studies were conducted in addition to four support studies, (Cassenti, Kelley, & Ghirardelli, 2010) as part of a general research program to study human attention and to develop computational models of memory mechanisms for robotics applications (Kelley, 2006(Kelley, , 2014. We assessed numerosity of unattended items as a dependent variable to gain insight into the nature of memory encoding during visual search tasks, where the goal of the task was unrelated to the number of items.…”

Method of Robot Episode Cognition Based on Hippocampus Mechanism

“…Therefore, the place cell population will present a single peak pattern, which maps the current position of the rat. We use the place cell mathematical model proposed by Oâ Ȃ ŹKeefe et al [24] to calculate the cell firing rate at each position, and its mathematical expression is shown in equation ( 3):…”

Towards Long-Term Memory for Social Robots: Proposing a New Challenge for the RoboCup@Home League

“…At present, there is no consensus on the way an EpLTM should be implemented for service robots, but many approaches can be found [9,10,11,12,19,20,22]. As the RoboCups goal is to boost research, we propose to evaluate only the core requirements an EpLTM must fulfill, avoiding to force an specific implementation on the teams.…”