% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Zajzon:1052250,
      author       = {Zajzon, Barna and Bouhadjar, Younes and Fabre, Maxime and
                      Schmidt, Felix and Ostendorf, Noah and Neftci, Emre and
                      Morrison, Abigail and Duarte, Renato},
      title        = {{S}ym{S}eq{B}ench: a unified framework for the generation
                      and analysis of rule-based symbolic sequences and datasets},
      publisher    = {arXiv},
      reportid     = {FZJ-2026-00867},
      year         = {2025},
      abstract     = {Sequential structure is a key feature of multiple domains
                      of natural cognition and behavior, such as language,
                      movement and decision-making. Likewise, it is also a central
                      property of tasks to which we would like to apply artificial
                      intelligence. It is therefore of great importance to develop
                      frameworks that allow us to evaluate sequence learning and
                      processing in a domain agnostic fashion, whilst
                      simultaneously providing a link to formal theories of
                      computation and computability. To address this need, we
                      introduce two complementary software tools: SymSeq, designed
                      to rigorously generate and analyze structured symbolic
                      sequences, and SeqBench, a comprehensive benchmark suite of
                      rule-based sequence processing tasks to evaluate the
                      performance of artificial learning systems in cognitively
                      relevant domains. In combination, |SymSeqBench offers
                      versatility in investigating sequential structure across
                      diverse knowledge domains, including experimental
                      psycholinguistics, cognitive psychology, behavioral
                      analysis, neuromorphic computing and artificial
                      intelligence. Due to its basis in Formal Language Theory
                      (FLT), SymSeqBench provides researchers in multiple domains
                      with a convenient and practical way to apply the concepts of
                      FLT to conceptualize and standardize their experiments, thus
                      advancing our understanding of cognition and behavior
                      through shared computational frameworks and formalisms. The
                      tool is modular, openly available and accessible to the
                      research community.},
      keywords     = {Neurons and Cognition (q-bio.NC) (Other) / Artificial
                      Intelligence (cs.AI) (Other) / Machine Learning (cs.LG)
                      (Other) / Neural and Evolutionary Computing (cs.NE) (Other)
                      / FOS: Biological sciences (Other) / FOS: Computer and
                      information sciences (Other)},
      cin          = {IAS-6 / PGI-15},
      cid          = {I:(DE-Juel1)IAS-6-20130828 / I:(DE-Juel1)PGI-15-20210701},
      pnm          = {5234 - Emerging NC Architectures (POF4-523) / BMBF
                      16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien
                      der künstlichen Intelligenz für die Elektronik der Zukunft
                      - NEUROTEC II - (BMBF-16ME0398K) / BMBF 16ME0399 -
                      Verbundprojekt: Neuro-inspirierte Technologien der
                      künstlichen Intelligenz für die Elektronik der Zukunft -
                      NEUROTEC II - (BMBF-16ME0399) / BMBF 03ZU1106CB - NeuroSys:
                      Algorithm-Hardware Co-Design (Projekt C) - B
                      (BMBF-03ZU1106CB) / BMFTR 03ZU2106CB - NeuroSys:
                      Algorithm-Hardware Co-Design (Projekt C) - B
                      (BMBF-03ZU2106CB) / WestAI - AI Service Center West
                      (01IS22094B)},
      pid          = {G:(DE-HGF)POF4-5234 / G:(DE-82)BMBF-16ME0398K /
                      G:(DE-82)BMBF-16ME0399 / G:(DE-Juel1)BMBF-03ZU1106CB /
                      G:(DE-Juel1)BMBF-03ZU2106CB / G:(BMBF)01IS22094B},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.48550/arXiv.2512.24977},
      url          = {https://juser.fz-juelich.de/record/1052250},
}