The Past, Present, and Future of Artificial Life

Aguilar, Wendy; Santamaría-Bonfil, Guillermo; Froese, Tom; Gershenson, Carlos

doi:10.3389/frobt.2014.00008

Cited by 76 publications

(52 citation statements)

References 194 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[9] But recent work has been conducted to incorporate some state-action dynamics into the exacting mathematical framework of evolutionary game theory.…”

Section: Related Workmentioning

confidence: 99%

Non-Markov Stateful Evolutionary Games

Burgess¹

2017

Preprint

View full text Add to dashboard Cite

Abstract:A new evolutionary game is introduced which incorporates states and actions into the strategies of the organisms of the evolving populations. The game centrally features actions that result in demographic flow between states that may not conserve organism numbers. It is by this feature that the game encapsulate a range of other evolutionary games, and can encode almost very complex interactions between organisms, species and populations. The game's formalism is expounded and the nature of the game's equilibrium is discussed. This discussion leads to an algorithm for numerically determining the stable equilibrium points which is exemplified in the context of a modified Hawk-Dove game. The game's flexibility for modeling population dynamics is evaluated and compared with other evolutionary games.

show abstract

“…[9] But recent work has been conducted to incorporate some state-action dynamics into the exacting mathematical framework of evolutionary game theory.…”

Section: Related Workmentioning

confidence: 99%

Non-Markov Stateful Evolutionary Games

Burgess¹

2017

Preprint

View full text Add to dashboard Cite

show abstract

“…Artificial life experiments have become important tools for exploring biological phenomena. In particular, they have allowed researchers to study the relationships between evolutionary processes and ecological theories (Aguilar et al, 2014), like the emergence of interspecies relationships like mutualism and parasitism (Watson et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

An artificial life approach to studying niche differentiation in soundscape ecology

Kadish¹,

Risi²,

Beloff³

2019

The 2019 Conference on Artificial Life

View full text Add to dashboard Cite

Artificial life simulations are an important tool in the study of ecological phenomena that can be difficult to examine directly in natural environments. Recent work has established the soundscape as an ecologically important resource and it has been proposed that the differentiation of animal vocalizations within a soundscape is driven by the imperative of intraspecies communication. The experiments in this paper test that hypothesis in a simulated soundscape in order to verify the feasibility of intraspecies communication as a driver of acoustic niche differentiation. The impact of intraspecies communication is found to be a significant factor in the division of a soundscape's frequency spectrum when compared to simulations where the need to identify signals from conspecifics does not drive the evolution of signalling. The method of simulating the effects of interspecies interactions on the soundscape is positioned as a tool for developing artificial life agents that can inhabit and interact with physical ecosystems and soundscapes.

show abstract

“…There are more recent surveys on swarm [21], modular [22,23] and soft [24] robotics. Other articles published which discuss ER are [25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

A survey on evolutionary-aided design in robotics

Prabhu¹,

Seals²,

Kyberd³

et al. 2018

Robotica

View full text Add to dashboard Cite

SUMMARYThe evolutionary-aided design process is a method to find solutions to design and optimisation problems. Evolutionary algorithms (EAs) are applied to search for optimal solutions from a solution space that evolves over several generations. EAs have found applications in many areas of robotics. This paper covers the efforts to determine body morphology of robots through evolution and body morphology with the controller of robots or similar creatures through co-evolution. The works are reviewed from the perspective of how different algorithms are applied and includes a brief explanation of how they are implemented.

show abstract

The Past, Present, and Future of Artificial Life

Cited by 76 publications

References 194 publications

Non-Markov Stateful Evolutionary Games

Non-Markov Stateful Evolutionary Games

An artificial life approach to studying niche differentiation in soundscape ecology

A survey on evolutionary-aided design in robotics

Contact Info

Product

Resources

About