add woutern iwai paper

content/member/woutern.md

@@ -17,7 +17,7 @@ cv_link = ""
 [[social]]
     icon = "twitter"
     icon_pack = "fa"
-    link = "https://x.com/wouter_nuijten"
+    link = "https://x.com/wouterwln"
 
 [[social]]
     icon = "google-scholar"
@@ -42,4 +42,4 @@ cv_link = ""
 +++
 
 
-Wouter Nuijten is a PhD candidate in the SPS group at Eindhoven University of Technology's Electrical Engineering department. His research focuses on the study of nested Active Inference and the emergence of intelligence within complex hierarchical systems. The goal of this research is to design intelligent agents that minimize variational free energy in a control setting.
+Wouter Nuijten is a PhD candidate in the SPS group at Eindhoven University of Technology's Electrical Engineering department. His research focuses on the study of nested Active Inference and the emergence of intelligence within complex hierarchical systems. The goal of this research is to design intelligent agents that minimize variational free energy in a control setting.

content/publication/rxenvironments-active-inference.md

@@ -0,0 +1,24 @@
+
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+abstract = "Active Inference is a framework that emphasizes the interaction between agents and their environment. While the framework has seen significant advancements in the development of agents, the environmental models are often borrowed from reinforcement learning problems, which may not fully capture the complexity of multi-agent interactions or allow complex, conditional communication. This paper introduces Reactive Environments, a comprehensive paradigm that facilitates complex multi-agent communication. In this paradigm, both agents and environments are defined as entities encapsulated by boundaries with interfaces. This setup facilitates a robust framework for communication in nonequilibrium-Steady-State systems, allowing for complex interactions and information exchange. We present a Julia package RxEnvironments.jl, which is a specific implementation of Reactive Environments, where we utilize a Reactive Programming style for efficient implementation. The flexibility of this paradigm is demonstrated through its application to several complex, multi-agent environments. These case studies highlight the potential of Reactive Environments in modeling sophisticated systems of interacting agents."
+date = "2024-09-11"
+image = ""
+image_preview = ""
+math = false
+publication = "International Workshop on Active Inference 2024"
+publication_short = "IWAI 2024"
+to_be_published = false
+selected = false
+title = "Reactive Environments for Active Inference Agents with RxEnvironments.jl"
+url_code = "https://github.com/biaslab/RxEnvironments.jl"
+url_dataset = ""
+url_pdf = "/pdf/iwai2024/woutern_rxenvironments_2024.pdf"
+url_project = ""
+url_video = ""
+url_custom = [{name="IWAI", url="https://iwaiworkshop.github.io/"}]
+
+[[authors]]
+    id = "woutern"
+[[authors]]
+    id = "bert"
++++