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This paper proposes that the distinctively human capacity for cumulative, adaptive, open-ended cultural evolution came about through two temporally-distinct cognitive transitions. First, the origin of Homo-specific culture over two MYA was…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora , Cameron M. Smith

EVOC (for EVOlution of Culture) is a computer model of culture that enables us to investigate how various factors such as barriers to cultural diffusion, the presence and choice of leaders, or changes in the ratio of innovation to imitation…

Multiagent Systems · Computer Science 2019-07-11 Liane Gabora

EVOC is a computer model of the EVOlution of Culture. It consists of neural network based agents that invent ideas for actions, and imitate neighbors' actions. EVOC replicates using a different fitness function the results obtained with an…

Multiagent Systems · Computer Science 2014-09-04 Liane Gabora

At the core of our uniquely human cognitive abilities is the capacity to see things from different perspectives, or to place them in a new context. We propose that this was made possible by two cognitive transitions. First, the large brain…

Neurons and Cognition · Quantitative Biology 2019-07-11 Liane Gabora , Kirsty Kitto

Human culture is uniquely cumulative and open-ended. Using a computational model of cultural evolution in which neural network based agents evolve ideas for actions through invention and imitation, we tested the hypothesis that this is due…

Multiagent Systems · Computer Science 2019-07-17 Liane Gabora , Maryam Saberi

Cumulative cultural evolution is what made humanity to thrive in various ecological and demographic environments. Solutions to the tasks that humans needed to solve could be mapped onto a task space which could take the form of either…

Computers and Society · Computer Science 2020-07-09 Masaki Suyama , Kosuke Sato

This paper summarizes efforts to computationally model two transitions in the evolution of human creativity: its origins about two million years ago, and the 'big bang' of creativity about 50,000 years ago. Using a computational model of…

Neural and Evolutionary Computing · Computer Science 2019-07-11 Liane Gabora , Steve DiPaola

This paper explains in layperson's terms how an agent-based model was used to investigate the hypothesis that culture evolves more effectively when novelty-generating creative processes are tempered by imitation processes that preserve…

Multiagent Systems · Computer Science 2015-02-14 Liane Gabora

Cumulative cultural evolution occurs when adaptive innovations are passed down to consecutive generations through social learning. This process has shaped human technological innovation, but also occurs in non-human species. While it is…

Populations and Evolution · Quantitative Biology 2023-07-26 Edwin S. Dalmaijer

We present a theory of cultural evolution based upon a renormalization group scheme. We consider rational but cognitively limited agents who optimize their decision making process by iteratively updating and refining the mental…

Adaptation and Self-Organizing Systems · Physics 2009-11-10 Gabor Fath , Miklos Sarvary

Computational modelling with multi-agent systems is becoming an important technique of studying language evolution. We present a brief introduction into this rapidly developing field, as well as our own contributions that include an…

Physics and Society · Physics 2010-08-24 Adam Lipowski , Dorota Lipowska

Humans stand alone in terms of their potential to collectively and cumulatively change their culture in an open-ended manner. This open-endedness provides societies with the ability to continually expand their resources and to increase…

Neural and Evolutionary Computing · Computer Science 2026-01-06 James Winters , Mathieu Charbonneau

The theory of natural selection cannot describe how early life evolved, in part because acquired characteristics are passed on through horizontal exchange. It has been proposed that culture, like life, began with the emergence of…

Populations and Evolution · Quantitative Biology 2013-09-16 Liane Gabora

It has been suggested that the origins of cognitive modernity in the Middle/Upper Paleolithic following the appearance of anatomically modern humans was due to the onset of dual processing or contextual focus (CF), the ability to shift…

Neurons and Cognition · Quantitative Biology 2019-07-17 Courtney Chrusch , Liane Gabora

This paper proposes a unified framework in which consciousness emerges as a cycle-consistent, affectively anchored inference process, recursively structured by the interaction of emotion and cognition. Drawing from information theory,…

Neurons and Cognition · Quantitative Biology 2025-07-15 Xin Li

It has been proposed that cultural evolution was made possible by a cognitive transition brought about by onset of the capacity for self-triggered recall and rehearsal. Here we develop a novel idea that models of collectively autocatalytic…

Neurons and Cognition · Quantitative Biology 2017-08-09 Liane Gabora , Mike Steel

It is proposed that the ability of humans to flourish in diverse environments and evolve complex cultures reflects the following two underlying cognitive transitions. The transition from the coarse-grained associative memory of Homo habilis…

Neurons and Cognition · Quantitative Biology 2013-08-26 Liane Gabora , Diederik Aerts

We report a summary of our interdisciplinary research project "Evolutionary Perspective on Collective Decision Making" that was conducted through close collaboration between computational, organizational and social scientists at Binghamton…

Neural and Evolutionary Computing · Computer Science 2017-05-29 Hiroki Sayama , Shelley D. Dionne

The speed and transformative power of human cultural evolution is evident from the change it has wrought on our planet. This chapter proposes a human computation program aimed at (1) distinguishing algorithmic from non-algorithmic…

Multiagent Systems · Computer Science 2013-10-24 Liane Gabora

We present a model for evolving agents using both genetic and cultural inheritance mechanisms. Within each agent our model maintains two distinct information stores we call the genome and the memome. Processes of adaptation are modeled as…

Neural and Evolutionary Computing · Computer Science 2016-04-26 Chris Marriott , Jobran Chebib
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