Tarek R. Besold

About

Tarek R. Besold is a leading voice in the integration of neural and symbolic systems, a critical frontier for achieving human-level artificial intelligence. His foundational work, "Towards integrated neural–symbolic systems for human-level AI," has garnered 30 citations, outlining two research programs designed to bridge the gap between sub-symbolic learning and symbolic reasoning. Besold’s contributions extend deeply into cognitive science, particularly with his highly cited paper, "A match does not make a sense: on the sufficiency of the comparator model for explaining the sense of agency" (30 citations). Here, he challenges prevailing models of agency, arguing that a simple comparator mechanism is insufficient for a cognitive entity—biological or artificial—to truly become an agent. This work is pivotal for developmental psychology and AI ethics. Additionally, his 2015 paper, "Anchoring Knowledge in Interaction," proposes a harmonic framework for computational cognition, emphasizing how knowledge is grounded through dynamic interaction. Besold’s research uniquely blends philosophy, psychology, and computer science, making him a key figure in understanding how machines can develop robust, human-like cognition and a genuine sense of self.

Research Focus

Key Achievements

Top Papers

1. 1
   Towards integrated neural–symbolic systems for human-level AI: Two research programs helping to bridge the gaps

   30 citations · 2015
2. 2
   A match does not make a sense: on the sufficiency of the comparator model for explaining the sense of agency

   30 citations · 2019
3. 3
   Anchoring Knowledge in Interaction: Towards a Harmonic Subsymbolic/Symbolic Framework and Architecture of Computational Cognition

   3 citations · 2015

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