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Artificial Life
MIT Press
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The institutional approach for modeling the evolution of human societies
Powers S. Artificial Life 24(1): 10-28, 2018. Type: Article
Powers defines institutions as “political game forms that generate the rules of a group’s economic interactions.” He draws heavily from Leonid Hurwicz’s game theory in developing a model of insti...
Dec 28 2018
Minimally sufficient conditions for the evolution of social learning and the emergence of non-genetic evolutionary systems
Gonzalez M., Watson R., Bullock S. Artificial Life 23(4): 493-517, 2017. Type: Article
Social learning is defined here as the imitation of behaviors exhibited by other members of a population. In a population of humans, we might be talking about memes, or more broadly, culture. The authors mention animal examples such as...
May 17 2018
A general architecture for robotics systems: a perception-based approach to artificial life
Young R. Artificial Life 23(2): 236-286, 2017. Type: Article
“Conventional views of intelligence and behavior are fundamentally flawed.” That is the inflection point that motivates this paper. Most robotic systems depend on a digitized model of their environment that they can...
Apr 10 2018
The Ulam programming language for artificial life
Ackley D., Ackley E. Artificial Life 22(4): 431-450, 2016. Type: Article
The most amazing information processing imaginable can be seen in biology: a fertilized egg grows into an adult, a seed to a tree. Biological information processing can be thermodynamic (10
10
b
/sec to 10
Nov 17 2017
Open-ended evolution: perspectives from the OEE workshop in York
Taylor T., Bedau M., Channon A., Ackley D., Banzhaf W., Beslon G., Dolson E., Froese T., Hickinbotham S., Ikegami T., McMullin B., Packard N., Rasmussen S., Virgo N., Agmon E., Clark E., McGregor S., Ofria C., Ropella G., Spector L., Stanley K., Stanton A., Timperley C., Vostinar A., Wiser M. Artificial Life 22(3): 408-423, 2016. Type: Article
An open-ended evolutionary (OEE) system, conceived to be part of artificially intelligent systems (biological or otherwise), has been vaguely defined as one capable of producing a continual stream of novel organisms, rather than one se...
Apr 11 2017
WebAL comes of age: a review of the first 21 years of artificial life on the web
Taylor T., Auerbach J., Bongard J., Clune J., Hickinbotham S., Ofria C., Oka M., Risi S., Stanley K., Yosinski J. Artificial Life 22(3): 364-407, 2016. Type: Article
Soon after computers became available to researchers, they were used to explore concepts like cellular automata or self-replicating machines and organisms, the most prominent being John H. Conway’s Game of Life. The emergence...
Mar 21 2017
Evolution of swarming behavior is shaped by how predators attack
Olson R., Knoester D., Adami C. Artificial Life 22(3): 299-318, 2016. Type: Article
The authors investigate the evolution of individual behavior in dynamic distributed systems populated by two sorts of individuals,
P
and
Q
, linked by read-only (that is, as opposed to message-passi...
Mar 2 2017
Exploring the space of viable configurations in a model of metabolism-boundary co-construction
Agmon E., Gates A., Churavy V., Beer R. Artificial Life 22(2): 153-171, 2016. Type: Article
In an attempt to expand my horizon toward the exploration of interactions among of agents, including humans and robots, one of the valuable leads I encountered was this investigation of the configuration space for interactions at the m...
Dec 30 2016
The cognitive domain of a glider in the game of life
Beer R. Artificial Life 20(2): 183-206, 2014. Type: Article
The term “cognitive domain” is used in a “somewhat unusual and controversial” way (quoting the paper). It is to be interpreted in the context of autopoietic systems, a framework originating in a ...
Apr 16 2015
Staging the self-assembly process: inspiration from biological development
Bhalla N., Bentley P., Vize P., Jacob C. Artificial Life 20(1): 29-53, 2014. Type: Article
This work, by Bhalla et al., is very useful for the design of nanoscale and microscale structures and DNA computing using self-assembly. It is also effective for the creation of more complex physical self-assembling systems....
Nov 17 2014
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