69 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hoya (Japan)JP8 papers
- Imperial College LondonGB5 papers
- Cross Compass (Japan)JP2 papers
- Institute of Physics, Academia SinicaTW2 papers
- RIKENJP2 papers
- RIKEN Center for Brain ScienceJP2 papers
- University of SussexGB2 papers
- Barnard CollegeUS1 paper
- Biomedical Research InstituteUS1 paper
- Brock UniversityCA1 paper
- Complexity Science HubAT1 paper
- Hokkaido UniversityJP1 paper
16 papers
System Integrated Information
William Marshall, Matteo Grasso, William GP Mayner +7
Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience. The axioms are trans…
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems
Manuel Baltieri, Hiroyuki Iizuka, Olaf Witkowski +2
Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural and computational scien…
Emergent spacetime from a Berry-inspired dynamical gauge field coupled to electromagnetism
Patrick Copinger, Pablo Morales
Motivated by the fermionic Berry's phase in momentum space, we study a local Abelian phase in momentum space coupled to electromagnetism, for complex scalars in the phase-space wor…
Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms
Roberto Gallotta, Kai Arulkumaran, L. B. Soros
In mixed-initiative co-creation tasks, wherein a human and a machine jointly create items, it is important to provide multiple relevant suggestions to the designer. Quality-diversi…
Curvature-induced pseudogauge fields from time-dependent geometries in graphene
Pablo A. Morales, Patrick Copinger
The massless Dirac equation is studied in curved spacetime on the (2+1)-dimensional graphene sheet in time-dependent geometries. Emergent pseudogauge fields are found both in the a…
Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation
Roberto Gallotta, Kai Arulkumaran, L. B. Soros
When generating content for video games using procedural content generation (PCG), the goal is to create functional assets of high quality. Prior work has commonly leveraged the fe…
Geometric Structures Induced by Deformations of the Legendre Transform
Pablo A. Morales, Jan Korbel, Fernando E. Rosas
The recent link discovered between generalized Legendre transforms and non-dually flat statistical manifolds suggests a fundamental reason behind the ubiquity of Rényi's divergence…
A generalization of the maximum entropy principle for curved statistical manifolds
Pablo A. Morales, Fernando E. Rosas
The maximum entropy principle (MEP) is one of the most prominent methods to investigate and model complex systems. Despite its popularity, the standard form of the MEP can only gen…
A Technical Critique of Some Parts of the Free Energy Principle
Martin Biehl, Felix A. Pollock, Ryota Kanai
We summarize the original formulation of the free energy principle, and highlight some technical issues. We discuss how these issues affect related results involving generalised co…
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai, Kai Arulkumaran, Tamara Gerbert +3
Deep reinforcement learning has the potential to train robots to perform complex tasks in the real world without requiring accurate models of the robot or its environment. A practi…
Information Closure Theory of Consciousness
Acer Y. C. Chang, Martin Biehl, Yen Yu +1
Information processing in neural systems can be described and analysed at multiple spatiotemporal scales. Generally, information at lower levels is more fine-grained and can be coa…
Boredom-driven curious learning by Homeo-Heterostatic Value Gradients
Yen Yu, Acer Y. C. Chang, Ryota Kanai
This paper presents the Homeo-Heterostatic Value Gradients (HHVG) algorithm as a formal account on the constructive interplay between boredom and curiosity which gives rise to effe…
Being curious about the answers to questions: novelty search with learned attention
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo +1
We investigate the use of attentional neural network layers in order to learn a `behavior characterization' which can be used to drive novelty search and curiosity-based policies.…
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory
Jun Kitazono, Ryota Kanai, Masafumi Oizumi
The ability to integrate information in the brain is considered to be an essential property for cognition and consciousness. Integrated Information Theory (IIT) hypothesizes that t…
Fast and exact search for the partition with minimal information loss
Shohei Hidaka, Masafumi Oizumi
In analysis of multi-component complex systems, such as neural systems, identifying groups of units that share similar functionality will aid understanding of the underlying struct…
Integrated information and dimensionality in continuous attractor dynamics
Satohiro Tajima, Ryota Kanai
There has been increasing interest in the integrated information theory (IIT) ofconsciousness, which hypothesizes that consciousness is integrated information withinneuronal dynami…