Selected Publications

Albantakis L (2021) Quantifying the Autonomy of Structurally Diverse Automata: A Comparison of Candidate Measures. Entropy, 23(11): 1415. doi: 10.3390/e23111415

Grasso* M, Albantakis* L, Lang JP, Tononi G (2021) Causal reductionism and causal structures. Nature Neuroscience, 24: 1348-1355. doi: 10.1038/s41593-021-00911-8

Albantakis L, Marshall W, Hoel E, Tononi G (2019) What Caused What? A Quantitative Account of Actual Causation Using Dynamical Causal Networks. Entropy, 21:459. doi: 10.3390/e21050459

Albantakis L, Tononi G (2019) Causal Composition: Structural Differences among Dynamically Equivalent Systems. Entropy, 2019, Vol 21, Page 989 21:989. doi: 10.3390/e21100989

Marshall W, Albantakis L, Tononi G (2018) Black-boxing and cause-effect power. PLOS Comput Biol, 14:e1006114. doi: 10.1371/journal.pcbi.1006114

Marshall W, Kim H, Walker SI, Tononi G, Albantakis L (2017) How causal analysis can reveal autonomy in models of biological systems. Philos Trans A Math Phys Eng Sci 375:20160358. doi: 10.1098/rsta.2016.0358

Hoel EP, Albantakis L, Marshall W, Tononi G (2016) Can the macro beat the micro? Integrated information across spatiotemporal scales. Neurosci Conscious, 2016. doi: 10.1093/nc/niw012

Albantakis L, Tononi G (2015) The Intrinsic Cause-Effect Power of Discrete Dynamical Systems—From Elementary Cellular Automata to Adapting Animats. Entropy, 17:5472–5502. doi: 10.3390/e17085472

Albantakis L, Hintze A, Koch C, Adami C, Tononi G (2014) Evolution of Integrated Causal Structures in Animats Exposed to Environments of Increasing Complexity. PLoS Comput Biol, 10:e1003966. doi: 10.1371/journal.pcbi.1003966

Oizumi* M, Albantakis* L, Tononi G (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. PLoS Comput Biol, 10:e1003588. doi: 10.1371/journal.pcbi.1003588

Hoel EP, Albantakis L, Tononi G (2013) Quantifying causal emergence shows that macro can beat micro. PNAS, 110:19790–19795. doi: 10.1073/pnas.1314922110