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The Origin of Information Handling
A major challenge when describing the origin of life is to explain how instructional information control systems emerge naturally and spontaneously from mere molecular dynamics.
Self-Reproduction and Evolution in Cellular Automata: 25 Years after Evoloops
The year of 2024 marks the 25th anniversary of the publication of evoloops, an evolutionary variant of Chris Langton's self-reproducing loops which proved that Darwinian evolution of self-reproducing organisms by variation and natural selection is possible within deterministic cellular automata.
Extracting Network Structures from Corporate Organization Charts Using Heuristic Image Processing
For each reconstructed organization network, we measured several network diagnostics, which will be used for further statistical analysis to investigate their potential correlations with corporate behavior and performance.
How Lévy flights triggered by presence of defectors affect evolution of cooperation in spatial games
We systematically studied the relationships among three factors for cooperation: sensitivity to defectors, the intensity of L\'evy flights, and population density.
Utterance Clustering Using Stereo Audio Channels
This study aims to improve the performance of utterance clustering by processing multichannel (stereo) audio signals.
Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization
To investigate how the collective design and innovation processes would be affected by the diversity of knowledge and background of collective individual members, we conducted three collaborative design task experiments which involved nearly 300 participants who worked together anonymously in a social network structure using a custom-made computer-mediated collaboration platform.
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection
One of the problems in supervised text classification models is that the models' performance depends heavily on the quality of data labeling that is typically done by humans.
Self-Organization and Artificial Life
Placed at the frontiers between disciplines, Artificial Life (ALife) has heavily borrowed concepts and tools from the study of self-organization, providing mechanistic interpretations of life-like phenomena as well as useful constructivist approaches to artificial system design.
Cardinality Leap for Open-Ended Evolution: Theoretical Consideration and Demonstration by "Hash Chemistry"
This strongly suggests that the dynamics observed in Hash Chemistry were indeed evolutionary behaviors driven by selection and adaptation taking place at multiple scales.
Seeking Open-Ended Evolution in Swarm Chemistry II: Analyzing Long-Term Dynamics via Automated Object Harvesting
We studied the long-term dynamics of evolutionary Swarm Chemistry by extending the simulation length ten-fold compared to earlier work and by developing and using a new automated object harvesting method.
Self-Organization and Artificial Life: A Review
Self-organization has been an important concept within a number of disciplines, which Artificial Life (ALife) also has heavily utilized since its inception.
Robust Tracking and Behavioral Modeling of Movements of Biological Collectives from Ordinary Video Recordings
We propose a novel computational method to extract information about interactions among individuals with different behavioral states in a biological collective from ordinary video recordings.
A Polynomial-Time Deterministic Approach to the Traveling Salesperson Problem
The proposed algorithm ranks cities based on their priorities calculated using a power function of means and standard deviations of their distances from other cities and then connects the cities to their neighbors in the order of their priorities.
Complexity Measures and Concept Learning
The general order occurs in all other known cases: when adult humans classify objects with characteristics that are not readily distinguished (e. g., brightness, saturation, hue); for children and monkeys; and when categorization difficulty is extrapolated from errors in identification learning.
Studying Collective Human Decision Making and Creativity with Evolutionary Computation
Throughout this project, we utilized evolutionary computation (EC) in non-traditional ways---(1) as a theoretical framework for reinterpreting the dynamics of idea generation and selection, (2) as a computational simulation model of collective human decision making processes, and (3) as a research tool for collecting high-resolution experimental data of actual collaborative design and decision making from human subjects.
Four Classes of Morphogenetic Collective Systems
We studied the roles of morphogenetic principles---heterogeneity of components, dynamic differentiation/re-differentiation of components, and local information sharing among components---in the self-organization of morphogenetic collective systems.
Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations
Collective, especially group-based, managerial decision making is crucial in organizations.
Guiding Designs of Self-Organizing Swarms: Interactive and Automated Approaches
Self-organization of heterogeneous particle swarms is rich in its dynamics but hard to design in a traditional top-down manner, especially when many types of kinetically distinct particles are involved.
