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It is clear that the current attempts at using algorithms to create artificial neural networks have had mixed success at best when it comes to creating large networks and/or complex behavior. This should not be unexpected, as creating an…

Neural and Evolutionary Computing · Computer Science 2014-08-06 Sebastian Risi , Jinhong Zhang , Rasmus Taarnby , Peter Greve , Jan Piskur , Antonios Liapis , Julian Togelius

Evolution gave rise to human and animal intelligence here on Earth. We argue that the path to developing artificial human-like-intelligence will pass through mimicking the evolutionary process in a nature-like simulation. In Nature, there…

Artificial Intelligence · Computer Science 2020-05-07 João P. Abrantes , Arnaldo J. Abrantes , Frans A. Oliehoek

We propose the following question: what game-like interactive system would provide a good environment for measuring the impact and success of a co-creative, cooperative agent? Creativity is often formulated in terms of novelty, value,…

Artificial Intelligence · Computer Science 2018-09-27 Rodrigo Canaan , Stefan Menzel , Julian Togelius , Andy Nealen

The optimization of dynamic problems is both widespread and difficult. When conducting dynamic optimization, a balance between reinitialization and computational expense has to be found. There are multiple approaches to this. In parallel…

Neural and Evolutionary Computing · Computer Science 2014-01-21 Ronald Hochreiter , Christoph Waldhauser

Selection theory requires multiple, distinct, simultaneously-actualized states. In cognition, each thought or cognitive state changes the 'selection pressure' against which the next is evaluated; they are not simultaneously selected…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Liane Gabora

The human ability to learn rules and solve problems has been a central concern of cognitive science research since the field's earliest days. But we do not just follow rules and solve problems given to us by others: we modify those rules,…

The most common assumption in evolutionary game theory is that players should adopt a strategy that warrants the highest payoff. However, recent studies indicate that the spatial selection for cooperation is enhanced if an appropriate…

Physics and Society · Physics 2016-05-18 Attila Szolnoki , Matjaz Perc

Three decades of empirical research in high-performing software development teams provides evidence that creativity can be promoted by an effective, disciplined development culture. This paper describes 'contrasting' as a key driver for…

Software Engineering · Computer Science 2025-03-11 Marian Petre , Mary Shaw

The idea that a group of cooperating agents can solve problems more efficiently than when those agents work independently is hardly controversial, despite our obliviousness of the conditions that make cooperation a successful problem…

Multiagent Systems · Computer Science 2015-10-07 José F. Fontanari

Collective, especially group-based, managerial decision making is crucial in organizations. Using an evolutionary theoretic approach to collective decision making, agent-based simulations were conducted to investigate how human collective…

Multiagent Systems · Computer Science 2019-02-20 Shelley D. Dionne , Hiroki Sayama , Francis J. Yammarino

Generative AI is rapidly transforming how organizations create value and evaluate talent. While large language models enhance baseline output quality, they simultaneously introduce ambiguity in assessing human creativity, as observable…

Human-Computer Interaction · Computer Science 2026-04-23 Yigal Rosen , Ilia Rushkin

The evolution and function of imitation have always been placed within the confines of animal learning and associated with its crucial role in cultural transmission and cultural evolution. Can imitation evolve as a form of phenotypic…

Populations and Evolution · Quantitative Biology 2021-10-22 Lee Altenberg , Susanne Still , Christopher J. Watkins

Many advancements have been made in procedural content generation for games, and with mixed-initiative co-creativity, have the potential for great benefits to human designers. However, co-creative systems for game generation are typically…

Artificial Intelligence · Computer Science 2023-08-07 Rohan Agarwal , Zhiyu Lin , Mark Riedl

Human creativity is often described as the mental process of combining associative elements into a new form, but emerging computational creativity algorithms may not operate in this manner. Here we develop an inverse problem formulation to…

Artificial Intelligence · Computer Science 2020-10-15 Lav R. Varshney , Nazneen Fatema Rajani , Richard Socher

We consider collaborative systems where users make contributions across multiple available projects and are rewarded for their contributions in individual projects according to a local sharing of the value produced. This serves as a model…

Computer Science and Game Theory · Computer Science 2013-08-06 Yoram Bachrach , Vasilis Syrgkanis , Milan Vojnovic

This paper presents a computational approach to modelling group creativity. It presents an analysis of two studies of group creativity selected from different research cultures and identifies a common theme ("idea build-up") that is then…

Multiagent Systems · Computer Science 2016-05-09 Ricardo Sosa , Andy M. Connor

Creativity in artificial intelligence is most often addressed through evaluative frameworks that aim to measure novelty, diversity, or usefulness in generated outputs. While such approaches have provided valuable insights into the behavior…

Artificial Intelligence · Computer Science 2026-01-14 Corina Chutaux

Creativity is a fundamental pillar of human expression and a driving force behind innovation, yet it now stands at a crossroads. As artificial intelligence advances at an astonishing pace, the question arises: can machines match and…

General Economics · Economics 2024-09-30 Anne-Gaëlle Maltese , Pierre Pelletier , Rémy Guichardaz

Drawing upon a body of research on the evolution of creativity, this paper proposes a theory of how, when, and why the forward-thinking story-telling abilities of humans evolved, culminating in the visionary abilities of science fiction…

Neurons and Cognition · Quantitative Biology 2019-03-15 Liane Gabora

Problem solving (e.g., drug design, traffic engineering, software development) by task forces represents a substantial portion of the economy of developed countries. Here we use an agent-based model of cooperative problem solving systems to…

Multiagent Systems · Computer Science 2016-02-23 José F. Fontanari
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