Framsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution

Komosiński, Maciej; Ulatowski, Szymon

doi:10.1007/3-540-48304-7_33

Cited by 53 publications

(38 citation statements)

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“…For example, this is the case of the logical functions computed by randomly composed multi-instruction programs in Avida [19], the locomotion abilities created by randomly articulated multi-segment robots in Golem [20] or Framsticks [17], or the shooting skills of intelligent video game agents emerging from randomly assembled multineuron networks in Nero [33]. Again, it is argued here, although not proven, that an even larger number of agents, such as in multicellular embryogenesis, would be even more favorable to a successful evolutionary search.…”

Section: Selecting For Functionalitymentioning

confidence: 99%

Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering

Doursat

2009

Organic Computing

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Summary. Exploding growth in computational systems forces us to gradually replace rigid design and control with decentralization and autonomy. Information technologies will progress, instead, by"meta-designing" mechanisms of system selfassembly, self-regulation and evolution. Nature offers a great variety of efficient complex systems, in which numerous small elements form large-scale, adaptive patterns. The new engineering challenge is to recreate this self-organization and let it freely generate innovative designs under guidance. This article presents an original model of artificial system growth inspired by embryogenesis. A virtual organism is a lattice of cells that proliferate, migrate and self-pattern into differentiated domains. Each cell's fate is controlled by an internal gene regulatory network. Embryomorphic engineering emphasizes hyperdistributed architectures, and their development as a prerequisite of evolutionary design.

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Section: Selecting For Functionalitymentioning

confidence: 99%

Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering

Doursat

2009

Organic Computing

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“…Other examples of co-evolution include Karl Sims seminal work [8], Framsticks, a threedimensional simulation project which offers various genotypes and fitness functions, to co-evolve morphology and control of virtual stick creatures [15], the work by Pollack and colleagues [16], and other interesting projects [17]. Our approach differs from previous work mainly in the type of neural controllers that we use (see above).…”

Section: Introductionmentioning

confidence: 99%

Co-evolution of Structures and Controllers for Neubot Underwater Modular Robots

Haller

Ijspeert

Floreano

2005

Advances in Artificial Life

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Abstract. This article presents the first results of a project in underwater modular robotics, called Neubots. The goals of the projects are to explore, following Von Neumann's ideas, potential mechanisms underlying self-organization and self-replication. We briefly explain the design features of the module units. We then present simulation results of the artificial co-evolution of body structures and neural controllers for locomotion. The neural controllers are inspired from the central pattern generators underlying locomotion in vertebrate animals. They are composed of multiple neural oscillators which are connected together by a specific type of coupling called synaptic spreading. The co-evolution of body and controller leads to interesting robots capable of efficient swimming. Interesting features of the neural controllers include the possibility to modulate the speed of locomotion by varying simple input signals, the robustness against perturbations, and the distributed nature of the controllers which makes them well suited for modular robotics.

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“…Many walking and swimming species evolved during these runs [11], and we were able to see the evolution of ideas of "how to move" [9]. In one evolutionary run, a limb was doubled while crossing over, and after some further evolution the organism was able to move with two limbs -one for pushing back and one for pulling [11].…”

Section: Resultsmentioning

confidence: 99%

The World of Framsticks: Simulation, Evolution, Interaction

Komosiński

2000

Virtual Worlds

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Abstract.A three-dimensional virtual world simulation is described, where evolution takes place and it is possible to investigate behaviors of creatures in real-time. Bodies of these creatures are made of sticks, and their brains are built from artificial neurons. There are no constraints on topology and complexity of neural networks, as well as on the size of morphology. The model is inspired by biology, so energetic issues such as energy gains and losses are also considered. The evolutionary process can be guided by some pre-defined criteria, however, it is possible to mimic spontaneous evolution when the fitness is defined as the life span of the organisms. Interactions in the virtual world are discussed (including the possibility of worldwide-distributed simulation), and the results of so-far experiments are presented.

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Framsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution

Cited by 53 publications

References 1 publication

Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering

Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering

Co-evolution of Structures and Controllers for Neubot Underwater Modular Robots

The World of Framsticks: Simulation, Evolution, Interaction

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