Grounded Symbolic Communication between Heterogeneous Cooperating Robots
Autonomous Robots
Gibsonian Affordances for Roboticists
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Emergence of self-organized symbol-based communication in artificial creatures
Cognitive Systems Research
The physical symbol grounding problem
Cognitive Systems Research
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Semiosis can be described as an emergent self-organizing process in a complex system of distributed sign users interacting locally and mutually affecting each other. Contextually grounded, semiosis is characterized as a pattern that emerges through the cooperation between agents in a communication act, which concerns an utterer, a sign, and an interpreter. Some implications of this approach are explored in the context of Artificial Life experimental protocols. To model communication as a self-organized process, the authors create a scenario to investigate a potentially self-organizing dynamic of communication, via local interactions. According to the results, a systemic process symbol-based communication emerges as a global pattern a common repertoire of signs from local interactions, without any external or central control.