Bootstrapping grounded symbols by minimal autonomous robots

Bootstrapping Grounded Symbols by Minimal Autonomous Robots

Bootstrapping Grounded Word Semantics

The paper reports on experiments with a population of visually grounded robotic agents capable of bootstrapping their own ontology and shared lexicon without prior design nor other forms of human intervention. The agents do so while playing a particular language game called the guessing game. We show that synonymy and ambiguity arise as emergent properties in the lexicon, due to the situated gr...

Grounding Symbols in Perception with two Interacting Autonomous Robots

Grounding symbolic representations in perception is a key and difficult issue for artificial intelligence. The ”Talking Heads” experiment (Steels and Kaplan, 2002) explores an interesting coupling between grounding and social learning of language. In the first version of this experiment, two cameras were interacting in a simplified visual environment made of colored shapes on a white board and ...

Physically and Emotionally Grounded Symbol Acquisition for Autonomous Robots

In this paper we present a novel concept of emotionally grounded symbols, which gives information about the importance of objects for the survivability of an autonomous robot, in addition emotionally grounded symbol provides information about emotions that were experienced during learning as well. Using this concept we implement an Emotionally Grounded (EGO) Architecture on a quadruped robot, w...

Intrinsic Representation: Bootstrapping Symbols from Experience

If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by focusing on the symbol-grounding problem, showing how symbols can emerge from a system that looks for regularity in the experiences of its visual and proprioceptive sensory systems. More specifically, my implemented system b...