Perspectives for Applied Semiotics in Artificial Life Research (original) (raw)

Symbolic Communication In Artificial Creatures: An Experiment In Artificial Life

Advances in Artificial Intelligence–SBIA …, 2004

This is a project on Articial Life where we simulate an ecosystem that allows cooperative interaction between agents, including intra-specic predatorwarning communication in a virtual environment of predatory events. We propose, based on Peircean semiotics and informed by neuroethological constraints, an experiment to simulate the emergence of symbolic communication among articial creatures. Here we describe the simulation environment and the creatures' control architectures, and briey present obtained results.

A BIOLOGICALLY-INSPIRED EXPERIMENT ON THE EMERGENCE OF SYMBOL-BASED COMMUNICATION

ABSTRACT We describe a computational experiment for the investigation of the emergence of self-organized symbol-based communication involving distributed interactions between artificial creatures. In our methodology, constraints from Peircean pragmatic philosophy of sign and empirical and neuroethological evidences are applied in the set-up, design and synthesis of our creatures, environment and processes.

A Proposal for a Synthesis Approach of Semiotic Artificial Creatures

Citeseer

Here we propose a scenario to simulate sign processing in virtual creatures inhabiting a world of predatory events. In order to infer the minimum organizational constraints for the design of our creatures, we examined the well-studied case of semiosis in East African vervet monkeys (Cercopithecus aethiops) and its possible neuroanatomical substrates. This approach allowed us to simulate a case of intra-specific predator-warning communication among those creatures.

Modeling the Emergence and Evolutionary History of Semiotic Systems and Processes

The International Journal of Signs and Semiotic Systems (IJSSS) is the first journal profoundly devoted to the modeling of semiotic systems and process. The journal offers a space of intense collaboration from empirical studies and theoretical frameworks toward a deeper understanding of semiotic process and an integrated vision of its synthesis in artificial systems. In establishing this journal, we encourage collaborative approaches regarding semiotic systems and processes, ranging from biological and empirical modeling to formaltheoretical studies. Our primary objective is to bring together multidisciplinary efforts in computational, empirical, theoretical and formal approaches in modeling semiotic processes, especially those that contribute to the design and synthesis of semiotic systems, such as biological evidences or evolutionary and philosophical frameworks. The frameworks and theories explored take into account recent developments from neurocognitive science, cognitive ethology, second order cybernetics, artificial life, biosemiotics and evolutionary biology.

A signal-centric perspective on the evolution of symbolic communication

Proceedings of the Genetic and Evolutionary Computation Conference, 2021

The evolution of symbolic communication is a longstanding open research question in biology. While some theories suggest that it originated from sub-symbolic communication (i.e., iconic or indexical), little experimental evidence exists on how organisms can actually evolve to define a shared set of symbols with unique interpretable meaning, thus being capable of encoding and decoding discrete information. Here, we use a simple synthetic model composed of sender and receiver agents controlled by Continuous-Time Recurrent Neural Networks, which are optimized by means of neuro-evolution. We characterize signal decoding as either regression or classification, with limited and unlimited signal amplitude. First, we show how this choice affects the complexity of the evolutionary search, and leads to different levels of generalization. We then assess the effect of noise, and test the evolved signaling system in a referential game. In various settings, we observe agents evolving to share a d...