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Page 1314 of Mathematical Reviews Vol. , Issue 90B [page]

1990 Mathematical Reviews  
The computational effectiveness of this algorithm is determined by using the suboptimal filtering algorithm, which does not require solving the matrix Riccati equation for the filter error covariance.  ...  The optimal control problem is shown to be bound up  ... 

Evolution of Entertainment in Computer Games

Zahid Halim, M. Fazal-ur- Rehman, A. Rauf Baig
2010 International Journal of Computer Applications  
Games have always been part of human culture since a long time; with the advent of modern day computers there has been a change in trend of human focus towards computer based games.  ...  from the user's point of view, remains of interest to game developers and researchers. As the entertainment that a game carries is of subjective nature and vary from user to user.  ...  He proposes an e-learning board game that adopts the basic elements of a racing board game but cultivate in students skills like creativity, problem-solving, and imagination, as students are trying to  ... 
doi:10.5120/765-1068 fatcat:pinkt4fwjzcprhrsuy4c2iwjcm

Review of The Computational Beauty of Nature by Gary William Flake☆☆MIT Press, Cambridge, MA, 1998. $52.00. ISBN 0-262-06200-3 (hard cover). $29.95. ISBN 0-262-56127-1 (paperback)

Melanie Moses, Stephanie Forrest
2001 Artificial Intelligence  
In this introductory text, Flake reviews computation theory, fractals, chaos, agent-based simulation, neural networks, and genetic algorithms in a way that is exciting and easily understood.  ...  The benefits are two-fold: by understanding how information is processed in natural systems, we may design better computers and computational techniques; and, using information-processing principles, we  ...  fractals, and simulate predator-prey interactions.  ... 
doi:10.1016/s0004-3702(01)00075-3 fatcat:o6logdwwfbcxho76q5hkp5tdre

2011 IEEE Conference on Computational Intelligence and Games [Conference Reports]

Kyung-joong Kim, Sung-bae Cho
2012 IEEE Computational Intelligence Magazine  
In the later part of the talk, he showed us some demonstration of the cultural algorithms applied to the games, including 3D racing game, Land Bridge, Super Mario, and StarCraft.  ...  The paper presents the two approaches (multitask learning and mode mutation) to evolve multimodal networks for two multitask games, Front/Back Ramming and Predator/Prey.  ... 
doi:10.1109/mci.2011.2177029 fatcat:jd47zneiavdwtld6xgyx47vzby

Social Data Mining to Improve Bioinspired Intelligent Systems [chapter]

Alberto Ochoa, Arturo Hernndez, Sal Gonzlez, Arnulfo Castro, Alexander Gelbukh, Alberto Hernndez, Halina Iztebegovi
2008 Data Mining in Medical and Biological Research  
These statistics were then used to modify the appearance of documents and other interface objects in accordance with prior use.  ...  Edit Wear and Read Wear were terms used to describe computational analogues of these phenomena.  ...  (Ochoa, Ponce et al., 2007) , and combined with Predator/Prey Game for analyzing cultural problems (Ochoa, Quezada et al., 2008) among others.  ... 
doi:10.5772/6420 fatcat:c2xuyafatrb6dnphtrqxt62jtm

Unbiased Self-Play [article]

Shohei Ohsawa
2022 arXiv   pre-print
We present a general optimization framework for emergent belief-state representation without any supervision.  ...  The key idea is to add imaginary rewards using the peer prediction mechanism, i.e., a mechanism for mutually criticizing information in a decentralized environment.  ...  C.1 Predator Prey (PP) Predator-Prey (PP) is a widely used benchmark environment in MARL (Barrett et al., 2011; Sukhbaatar et al., 2016; Singh et al., 2019) .  ... 
arXiv:2106.03007v2 fatcat:ufdnyfvjnjfihasskkyqghjrf4

From Computational Thinking to Systems Thinking: A conceptual toolkit for sustainability computing

Steve Easterbrook
2014 Proceedings of the 2014 conference ICT for Sustainability  
Computer professionals already have a conceptual toolkit for problem solving, sometimes known as computational thinking.  ...  However, computational thinking tends to see the world in terms a series of problems (or problem types) that have computational solutions (or solution types).  ...  Food chains tend to be self-sustaining, with predator-prey relationships keeping the relative populations of each species in balance.  ... 
doi:10.2991/ict4s-14.2014.28 dblp:conf/ict4s/Easterbrook14 fatcat:dvck6mtzsveh7o2z6z52jyrjt4

Escalation of Coevolutionary Arms Races

Kyle Harrington
2016 Figshare  
, and a swarm game.  ...  When using a coevolutionary game that incorporates an external environment we find that more complex external environments better facilitate coevolutionary escalation.  ...  Predator-Prey Coevolution When simulating predator-prey coevolution, we use a 2-population competitive coevolution model.  ... 
doi:10.6084/m9.figshare.3146824.v1 fatcat:ahpantix6nf6fbzsxyc66kqukm

Particle Swarm Optimization Methods, Taxonomy and Applications

Davoud Sedighizadeh, Ellips Masehian
2009 Journal of clean energy technologies  
The Particle Swarm Optimization (PSO) algorithm, as one of the latest algorithms inspired from the nature, was introduced in the mid 1990s and since then, it has been utilized as an optimization tool in  ...  It is the purpose of this paper is to present an overview of previous and present conditions of the PSO algorithm as well as its opportunities and challenges.  ...  Predator Prey PSO (PPPSO) -In the PPPSO, there are definitions including predator and prey. In this algorithm, predators follow the prey and preys escape from predators.  ... 
doi:10.7763/ijcte.2009.v1.80 fatcat:nwuursqzyzefxl5dadvhdxlbda

Pac-Man Conquers Academia: Two Decades of Research Using a Classic Arcade Game

Philipp Rohlfshagen, Jialin Liu, Diego Perez-Liebana, Simon M. Lucas
2017 IEEE Transactions on Games  
The potential usefulness of games like Pac-Man for higher education is also discussed and the paper concludes with a discussion of prospects for future work.  ...  Their impact goes well beyond the commercial world of video games and both games have featured in numerous academic research projects over the last two decades.  ...  The authors consider a simple predator-prey pursuit game, noting that the problem is easy to describe yet extremely difficult to solve.  ... 
doi:10.1109/tg.2017.2737145 fatcat:esaozjqtnvdotpktxibmvzouzi

Multiagent Learning through Neuroevolution [chapter]

Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey
2012 Lecture Notes in Computer Science  
Neuroevolution is a promising approach for constructing intelligent agents in many complex tasks such as games, robotics, and decision making.  ...  However, new challenges and opportunities emerge in such tasks, including facilitating cooperation through reward sharing and communication, accelerating evolution through social learning, and measuring  ...  Special thanks to Marc Wiseman and Kay Holekamp for their help with hyena data, all participants of the OpenNERO online tournament, Sebastian Thrun and Peter Norvig for allowing us to run the tournament  ... 
doi:10.1007/978-3-642-30687-7_2 fatcat:bopetnsonbaudp56grpttrj7ie

Synthetic Ecology of Microbes: Mathematical Models and Applications

Ali R. Zomorrodi, Daniel Segrè
2016 Journal of Molecular Biology  
integration of empirical methods and model-driven analysis, the importance of improving gene function annotation, and the value of a standardized library of well-characterized organisms to be used as building  ...  Finally, we present our outlook on key aspects of microbial ecosystems and synthetic ecology that require further developments, including the need for more efficient computational algorithms, a better  ...  The most widely-used such model is the Lotka-Volterra (LV) model, originally developed for modeling predator-prey dynamics, and later generalized to model combinations of competitive and cooperative interactions  ... 
doi:10.1016/j.jmb.2015.10.019 pmid:26522937 pmcid:PMC4798899 fatcat:kf2t4q72mbczpjzfbl34klnkcm

From Microbial Communities to Distributed Computing Systems

Behzad D. Karkaria, Neythen J. Treloar, Chris P. Barnes, Alex J. H. Fedorec
2020 Frontiers in Bioengineering and Biotechnology  
We discuss some of the challenges with building co-cultures, including the problem of competitive exclusion and maintenance of desired community composition.  ...  Following this we conduct a comprehensive overview of the synthetic communities that have been built to date, and the components that have been used.  ...  All authors contributed to the conception of this review, contributed to manuscript revision, and read and approved the submitted version.  ... 
doi:10.3389/fbioe.2020.00834 pmid:32793576 pmcid:PMC7387671 fatcat:s7z5xqektfhlbgop4u3ffa4nrm

Review of Metaheuristics Inspired from the Animal Kingdom

Elena Niculina Dragoi, Vlad Dafinescu
2021 Mathematics  
The search for powerful optimizers has led to the development of a multitude of metaheuristic algorithms inspired from all areas.  ...  The centralized data indicated that 61.6% of the animal-based algorithms are inspired from vertebrates and 38.4% from invertebrates.  ...  Acknowledgments: The authors want to thank Florin Leon for his valuable insights and suggestions regarding the use of animal inspired metaheuristics.  ... 
doi:10.3390/math9182335 fatcat:lu4w7xjignedjazicqibu6ks2q

Segregation Dynamics with Reinforcement Learning and Agent Based Modeling [article]

Egemen Sert, Yaneer Bar-Yam, Alfredo J. Morales
2019 arXiv   pre-print
For this purpose, agents use Deep Q-Networks to make decisions based on the rules of the Schelling Segregation model and the Predator-Prey model.  ...  Properties of social systems can be explained by the interplay and weaving of individual actions. Incentives are key to understand people's choices and decisions.  ...  Also, we would like to thank Dhaval Adjodah for his valuable suggestions on training RL algorithms.  ... 
arXiv:1909.08711v1 fatcat:xzi3wbbm4zbwfkbzserxqw7ytq
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