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A behavior-based analysis of modal problems

Leonardo Trujillo, Lee Spector, Enrique Naredo, Yuliana Martínez
2013 Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion  
One particular goal is to categorize problems in a meaningful way, in order to select the best tools that can possibly be used to solve them.  ...  The behavior-based perspective is seen as part of a scale of different forms of analyzing performance; with a coarse view given by a global fitness value and a highly detailed view provided by the semantics  ...  In NS, individuals are described in behavioral space using a domain-specific descriptor that captures the main traits of an individual's actions [27, 28] .  ... 
doi:10.1145/2464576.2482682 dblp:conf/gecco/TrujilloSNM13 fatcat:7yo5toiekvb5fdroykxntrseyi

A Bio-inspired Nano-Agent Architecture for Intelligent Agents [chapter]

Jean-Claude Heudin
2010 Web Intelligence and Intelligent Agents  
Most applications require a small set of knowledge-base and behavioral scripts text files, thus resulting in lightweight applications that are also wellsuited for web-based, mobile phone, robots and embedded  ...  The second phase is a bottom-up multi-agent simulation that attempts to capture the behavioral essence of the complex phenomena.  ...  How to reference In order to correctly reference this scholarly work, feel free to copy and paste the following: Jean-Claude Heudin (2010) .  ... 
doi:10.5772/8368 fatcat:csahghhjjfdkvggytpx4bbipb4

Beyond artificial intelligence: exploring artificial wisdom

Dilip V. Jeste, Sarah A. Graham, Tanya T. Nguyen, Colin A. Depp, Ellen E. Lee, Ho-Cheol Kim
2020 International Psychogeriatrics  
These AW systems need to be able to a) learn from experience and self-correct; b) exhibit compassionate, unbiased, and ethical behaviors; and c) discern human emotions and help the human users to regulate  ...  We review the development of AI as inspired and driven by the model of human intelligence, and consider possible governing principles for AW that would enable humans to develop computers which can operationally  ...  Today's AI uses rule-based systems to capture high-level articulable patterns and relationships, neural-networkbased deep learning systems to capture low-level, non-articulable patterns and relationships  ... 
doi:10.1017/s1041610220000927 pmid:32583762 fatcat:mgjmzbv3sfgtrfxyuwfelidxwi

A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach [article]

Nathan K Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein Abbass
2020 arXiv   pre-print
One method, known as swarm shepherding, is founded on the sheep herding behavior exhibited by sheepdogs, where a swarm of relatively simple agents are governed by a shepherd (or shepherds) which is responsible  ...  Due to the effectiveness of solutions found in nature, bio-inspired swarming-based control techniques are receiving a lot of attention in robotics.  ...  ACKNOWLEDGMENT This research is conducted in collaboration with the Maritime Division of the Defence Science and Technology Group and is partially supported by the Office of Naval Research -Global Grant  ... 
arXiv:1912.07796v4 fatcat:2wil5pt5wvbonfhpxgzhusqbrq

A Framework for Developing and Using Shared Mental Models in Human-Agent Teams

Matthias Scheutz, Scott A. DeLoach, Julie A. Adams
2017 Journal of Cognitive Engineering and Decision Making  
This paper proposes the first comprehensive formal and computational framework based on results from human teams that can be used to implement shared mental models for artificial virtual and robotic agents  ...  In particular, shared mental models are used to interact efficiently with other team members and to track progress in terms of goals, subgoals, achieved and planned states, as well as other team-related  ...  The agent uses its updated knowledge to adapt its behavior within the team and perform actions.  ... 
doi:10.1177/1555343416682891 fatcat:4wckkkk4ezgxrfp4g763tiym6y

A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior [article]

Kyle Brown and Katherine Driggs-Campbell and Mykel J. Kochenderfer
2020 arXiv   pre-print
We begin by introducing a mathematical framework for describing the dynamics of interactive multi-agent traffic.  ...  anomaly detection, behavior imitation and microscopic traffic simulation.  ...  The "Training" keywords section of table 7 identifies various algorithms used for optimization-based trait estimation. Trait parameters are often set heuristically (i.e., manually).  ... 
arXiv:2006.08832v3 fatcat:742imdl7erc27njgcxgga3hvja

Morphogenetic Engineering: Reconciling Self-Organization and Architecture [chapter]

René Doursat, Hiroki Sayama, Olivier Michel
2012 Understanding Complex Systems  
Can physical systems be endowed with information, or informational systems be embedded in physics, to create autonomous morphologies and functions?  ...  This book is the first initiative of its kind toward establishing a new field of research, Morphogenetic Engineering, to explore the modeling and implementation of "self-architecturing" systems.  ...  Swarm-based computational simulations capture the corresponding principles of agent-based, decentralized, self-organizing models.  ... 
doi:10.1007/978-3-642-33902-8_1 fatcat:z37vhhqfnnahrhfs4m73l7q7gu

On the origin of synthetic life: attribution of output to a particular algorithm

Roman V Yampolskiy
2016 Physica Scripta  
have not been limited and priors for such algorithms are known to be equal.  ...  With unprecedented advances in genetic engineering we are starting to see progressively more original examples of synthetic life.  ...  Acknowledgements Author is thankful to Yana Feygin, Alexey Melkikh, Susan Schneider, Gennadiy Mirochnik and Kenneth Stanley for valuable feedback on this paper.  ... 
doi:10.1088/0031-8949/92/1/013002 fatcat:yhsscc7fanf3rmuwp4hxadhf34

Outlines of Artificial Life: A Brief History of Evolutionary Individual Based Models [chapter]

Stefan Bornhofen, Claude Lattaud
2006 Lecture Notes in Computer Science  
Each one incorporated new modeling concepts, however to this day all the models have failed to exhibit long-lasting, let alone open-ended evolution.  ...  These models allow to investigate the laws of evolution, to observe emergent phenomena at individual and population level, and additionally yield new design techniques for computer animation and robotics  ...  Its behavior is controlled by a neural network, determined from its genetic code. During lifetime, a Hebbian algorithm modulates the synaptic weights, so that the agents are able to learn.  ... 
doi:10.1007/11740698_20 fatcat:2junomu33bfa3p6g4xjms7a3qm

A review of morphogenetic engineering

René Doursat, Hiroki Sayama, Olivier Michel
2013 Natural Computing  
It is the first initiative of its kind to rally and promote models and implementations of complex self-architecturing systems.  ...  Can physical systems be endowed with information, or informational systems be embedded in physics, to create autonomous morphologies and functions?  ...  agents use to guide themselves by ''chemotaxis''.  ... 
doi:10.1007/s11047-013-9398-1 fatcat:wm4vmlwuqfbgteigyfuz3vbm2m

Beyond black-box optimization: a review of selective pressures for evolutionary robotics

Stephane Doncieux, Jean-Baptiste Mouret
2014 Evolutionary Intelligence  
closer to the goal of a fully automated robot behavior design process.  ...  Evolutionary robotics is often viewed as the application of a family of black-box optimization algorithms -evolutionary algorithms -to the design of robots, or parts of robots.  ...  situated agents can lead to the development of useful behavioral skills in a simplified virtual agent, like the ability to foveate and to touch a moving object.  ... 
doi:10.1007/s12065-014-0110-x fatcat:zev64dia3vcszgefpujd4xxgzi

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Joel Lehman, Jeff Clune, Dusan Misevic
2020 Artificial Life  
To our knowledge, no collection of such anecdotes has been published before.  ...  bugs in their code, produced unexpectedly adaptations, or engaged in behaviors and outcomes, uncannily convergent with ones found in nature.  ...  Finally, we also thank all of those who submitted anecdotes that we were not able to include. Jeff Clune was supported by an NSF CAREER award (CAREER: 1453549).  ... 
doi:10.1162/artl_a_00319 pmid:32271631 fatcat:l6ouk2lrirc3lmgquolluvg3gm

Learning tactical human behavior through observation of human performance

H.K.G. Fernlund, A.J. Gonzalez, M. Georgiopoulos, R.F. DeMara
2006 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
This paper describes a novel approach that employs Genetic Programming in conjunction with Context-based Reasoning to evolve tactical agents based upon automatic observation of a human performing a mission  ...  The evolved agents exhibited good fidelity to the observed human performance, as well as the capacity to generalize from it.  ...  Genetic Programming Genetic Programming (GP) [22] is derived from Genetic Algorithms. Like Genetic Algorithms, GP is a stochastic search algorithm inspired by Darwin's theories of evolution.  ... 
doi:10.1109/tsmcb.2005.855568 pmid:16468572 fatcat:eugykrvn6fa2fkgm7yqxyg7m3q

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities [article]

Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney (+40 others)
2019 arXiv   pre-print
To our knowledge, no collection of such anecdotes has been published before.  ...  However, because evolution is an algorithmic process that transcends the substrate in which it occurs, evolution's creativity is not limited to nature.  ...  Finally, we also thank all of those who submitted anecdotes that we were not able to include. Jeff Clune was supported by an NSF CAREER award (CAREER: 1453549).  ... 
arXiv:1803.03453v4 fatcat:bhpskgrcfjh4xa3v4nwmmpk7z4

Learning Goal Conditioned Socially Compliant Navigation From Demonstration Using Risk-Based Features

Abhisek Konar, Bobak Hamed Baghi, Gregory Dudek
2021 IEEE Robotics and Automation Letters  
adequately captures local information surrounding the agent.  ...  We validate our approach by comparing against a classical algorithm and a reinforcement learning agent and evaluate our feature representation against similar feature representations from the literature  ...  Some researchers have used camera footage to calibrate these parameters [9] , [10] , while others have made use of genetic algorithms to the same end [11] .  ... 
doi:10.1109/lra.2020.3048657 fatcat:22rfk5vpu5h6loqxzvl5ggfnx4
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