References
Philipp Hacker, Andreas Engel, Marco Mauer. Regulating ChatGPT and Other
Large Generative AI Models. arXiv, 2023.
Link
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. BERT:
Pre-training of Deep Bidirectional Transformers for Language
Understanding. NAACL-HLT 4171-4186 (2019).
Thomas Edwards, Christopher B. Jones, Padraig Corcoran. Identifying
wildlife observations on twitter. Ecological Informatics67 , 101500 Elsevier BV, 2022.
Link
Sara Bronwen Hunter, Fiona Mathews, Julie Weeds. Using hierarchical text
classification to investigate the utility of machine learning in
automating online analyses of wildlife exploitation. Ecological
Informatics 75 , 102076 Elsevier BV, 2023.
Link
Andy Jones Yuntao Bai. Training a Helpful and Harmless Assistant with
Reinforcement Learning from Human Feedback. arxiv (2022).
Link
Harry G Frankfurt. On Bullshit. (2005).
M. Potschin-Young, R. Haines-Young, C. Görg, U. Heink, K. Jax, C.
Schleyer. Understanding the role of conceptual frameworks: Reading the
ecosystem service cascade. Ecosystem Services 29 ,
428–440 Elsevier BV, 2018.
Link
John H. Lawton. Are There General Laws in Ecology?. Oikos84 , 177 JSTOR, 1999.
Link
Samuel M. Scheiner, André J. Hudson, Mark A. VanderMeulen. An
Epistemology for Ecology. Bulletin of the Ecological Society of
America 74 , 17–21 [Wiley, Ecological Society of America],
1993.
Imre Lakatos. The Methodology of Scientific Research Programmes:
Philosophical Papers. 1 Cambridge University Press, 1978.
Link
William Bausman. The Aims and Structures of Ecological Research
Programs. Philosophical Topics 47 , 1–20 University of
Arkansas Press, 2019.
Christopher Hunter Lean. General Unificatory Theories in Community
Ecology. Philosophical Topics 47 , 125–142 University of
Arkansas Press, 2019. Link
Moti Mizrahi. You Can’t Handle the Truth. Logos
&\(\mathsemicolon\)
Episteme 10 , 225–227 Philosophy Documentation Center, 2019.
Link
Carolyn A. Trombley, Karl Cottenie. Quantifying the Scientific Cost of
Ambiguous Terminology in Community Ecology. Philosophical Topics47 , 203–218 University of Arkansas Press, 2019.
B. Jesse Shapiro, Jean-Baptiste Leducq, James Mallet. What Is
Speciation?. PLOS Genetics 12 , e1005860 Public Library
of Science (PLoS), 2016.
Link
Jane Elith, Mark A Burgman, Helen M Regan. Mapping Epistemic
Uncertainties and Vague Concepts in Predictions of Species Distribution.Ecological Modelling 157 , 313–329 (2002).
Link
Christophe Malaterre, Antoine C Dussault, Ely Mermans, Gillian Barker,
Beatrix E Beisner, Frédéric Bouchard, Eric Desjardins, I Tanya Handa,
Steven W Kembel, Geneviève Lajoie, Virginie Maris, Alison D Munson, Jay
Odenbaugh, Timothée Poisot, B Jesse Shapiro, Curtis A Suttle.
Corrigendum: Functional Diversity: An Epistemic Roadmap.BioScience 71 , 996–996 Oxford University Press (OUP),
2021. Link
Lilian P. Sales, Matt W. Hayward, Rafael Loyola. What Do You Mean by
“Niche”? Modern Ecological Theories Are Not Coherent on Rhetoric about
the Niche Concept. Acta Oecologica 110 , 103701 (2021).
Link
Stefan Linquist. Against Lawton’s Contingency
Thesis\(\mathsemicolon\) or
Why the Reported Demise of Community Ecology Is Greatly Exaggerated.Philosophy of Science 82 , 1104–1115 Cambridge
University Press (CUP), 2015.
Link
Damien Patrick Williams. Bias Optimizers. American Scientist(2023).
Link
Philippe Desjardins-Proulx, Timothée Poisot, Dominique Gravel.
Artificial Intelligence for Ecological and Evolutionary Synthesis.Frontiers in Ecology and Evolution 7 (2019).
Link
Tetsuya Sato, Alejandro Aguirre, Gilles Barthe, Marco Gaboardi, Deepak
Garg, Justin Hsu. Formal verification of higher-order probabilistic
programs: reasoning about approximation convergence, Bayesian inference,
and optimization. Proceedings of the ACM on Programming Languages3 , 1–30 Association for Computing Machinery (ACM), 2019.
Link
Chuliang Song, Benno I. Simmons, Marie-Josée Fortin, Andrew Gonzalez.
Generalism Drives Abundance: A Computational Causal Discovery Approach.PLOS Computational Biology 18 , e1010302 Public Library
of Science, 2022.
Link
Ryuichiro Hataya, Han Bao, Hiromi Arai. Will Large-scale Generative
Models Corrupt Future Datasets?. arXiv, 2022.
Link
Anna A. Ivanova Kyle Mahowald. Dissociating language and thought in
large language models: a cognitive perspective. arXiv (2023).
Martin M. Monti, Daniel N. Osherson, Michael J. Martinez, Lawrence M.
Parsons. Functional neuroanatomy of deductive inference: A
language-independent distributed network. NeuroImage 37 ,
1005–1016 Elsevier BV, 2007.
Link