Search Results for author: Hiroki Sayama

Found 19 papers, 0 papers with code

Non-Spatial Hash Chemistry as a Minimalistic Open-Ended Evolutionary System

no code implementations27 Apr 2024 Hiroki Sayama

We previously proposed the cardinality leap of possibility spaces as a promising mechanism to facilitate open-endedness in artificial evolutionary systems, and demonstrated its effectiveness using Hash Chemistry, an artificial chemistry model that used a hash function as a universal fitness evaluator.

Artificial Life

The Origin of Information Handling

no code implementations5 Apr 2024 Amahury Jafet López-Díaz, Hiroki Sayama, Carlos Gershenson

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

no code implementations6 Feb 2024 Hiroki Sayama, Chrystopher L. Nehaniv

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.

Artificial Life

Extracting Network Structures from Corporate Organization Charts Using Heuristic Image Processing

no code implementations4 Nov 2023 Hiroki Sayama, Junichi Yamanoi

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

no code implementations19 May 2021 Genki Ichinose, Daiki Miyagawa, Erika Chiba, Hiroki Sayama

We systematically studied the relationships among three factors for cooperation: sensitivity to defectors, the intensity of L\'evy flights, and population density.

Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization

no code implementations14 Nov 2019 Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Ankita Kulkarni, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama

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

no code implementations25 Sep 2019 Minjun Kim, Hiroki Sayama

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.

Community Detection General Classification +5

Self-Organization and Artificial Life

no code implementations14 Mar 2019 Carlos Gershenson, Vito Trianni, Justin Werfel, Hiroki Sayama

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.

Artificial Life

Cardinality Leap for Open-Ended Evolution: Theoretical Consideration and Demonstration by "Hash Chemistry"

no code implementations18 Jun 2018 Hiroki Sayama

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

no code implementations10 Apr 2018 Hiroki Sayama

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

no code implementations3 Apr 2018 Carlos Gershenson, Vito Trianni, Justin Werfel, Hiroki Sayama

Self-organization has been an important concept within a number of disciplines, which Artificial Life (ALife) also has heavily utilized since its inception.

Artificial Life

Robust Tracking and Behavioral Modeling of Movements of Biological Collectives from Ordinary Video Recordings

no code implementations23 Jul 2017 Hiroki Sayama, Farnaz Zamani Esfahlani, Ali Jazayeri, J. Scott Turner

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

no code implementations4 Aug 2016 Ali Jazayeri, Hiroki Sayama

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

no code implementations28 Jun 2014 Andreas D. Pape, Kenneth J. Kurtz, Hiroki Sayama

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

no code implementations24 Jun 2014 Hiroki Sayama, Shelley D. Dionne

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.

Decision Making

Four Classes of Morphogenetic Collective Systems

no code implementations24 May 2014 Hiroki Sayama

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.

Guiding Designs of Self-Organizing Swarms: Interactive and Automated Approaches

no code implementations14 Aug 2013 Hiroki Sayama

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.

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