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Shared Strategies in Artificial Agent Societies [chapter]

Amineh Ghorbani, Huib Aldewereld, Virginia Dignum, Pablo Noriega
2013 Lecture Notes in Computer Science  
multi-agent systems.  ...  In this paper, we discuss the notion of shared strategy, characterize its distinguishing features, propose its formalization using a temporal epistemic logic, and explore its potential use in regulated  ...  We take inspiration from the ADICO definition to formalize shared strategy for artificial agent societies.  ... 
doi:10.1007/978-3-642-37756-3_5 fatcat:3v27plnfbnhttmwx5faeye7m2u

A Bacterial-Based Algorithm to Simulate Complex Adaptive Systems [chapter]

Diego Gonzalez-Rodriguez, Jose Rodolfo Hernandez-Carrion
2014 Lecture Notes in Computer Science  
In our approach, agents with bounded rationality interact in a common environment guided by local rules, leading to Complex Adaptive Systems that are named 'artificial societies'.  ...  Using a distributed communication system and sharing individual strategies, bacteria propagate mutations as innovations that allow them to survive in different envi-ronments.  ...  In this paper we will introduce our agents-based approach to model resilience in artificial societies.  ... 
doi:10.1007/978-3-319-08864-8_24 fatcat:oijdjplt2bavbof7qyrnfv6sai

Decentralization and heterogeneity in complex adaptive systems

Diego Gonzalez-Rodriguez, Jose Rodolfo Hernandez-Carrion, Dr Raul Espejo
2015 Kybernetes  
The paper aims to discuss these issues.Inspired by bacterial conjugation, the authors have defined an artificial society in which agents' strategies adapt to changes in resources location, allowing migration  ...  way that bacteria use conjugation and share genome.  ...  this paper extends agent-based modeling in order to study of complex social dynamics in artificial societies.  ... 
doi:10.1108/k-01-2015-0030 fatcat:gnvzwvsazjbjddjxv4qlmepvbe

Agent-based modeling for competing firms: from balanced-scorecards to multiobjective strategies

T. Terano, K. Naitoh
2004 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the  
In our study, on the contrary, we will observe agents' actions or companies' activities in the artificial society with given conditions and investigate the agents' or companies' strategy.  ...  few dominant strategies for share maximizaiton; 3) price and time will affect borrowing strategy, and 4) time is an important factor in a radio cassettes market.  ...  This research is supported in part by a Grant-in-Aid for Scientific Research of MEXT, Japan (B 14380154).  ... 
doi:10.1109/hicss.2004.1265251 dblp:conf/hicss/TeranoN04 fatcat:57yvxglt6zdu7jytcpqrktjxzq

Evolution of Cooperative Hunting in Artificial Multi-layered Societies [article]

Honglin Bao, Wolfgang Banzhaf
2021 arXiv   pre-print
In this paper, an agent-based model is proposed to study the evolution of cooperative hunting behaviors in an artificial society.  ...  The agent society is divided into multiple layers with supervisors and subordinates. In each layer, the society is divided into multiple clusters.  ...  In this paper, we borrow this structure to build our artificial agent-based animal society. Consider a multi-layered social animal structure in which a supervisor manages multiple subordinates.  ... 
arXiv:2005.11580v5 fatcat:kcicqntdfzegjjg64zulxi5ylm

Minding morality: ethical artificial societies for public policy modeling

Saikou Y. Diallo, F. LeRon Shults, Wesley J. Wildman
2020 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
For example, by leaving out distinctive moral and normative dimensions of cultural contexts in artificial societies, estimations of downstream policy effectiveness fail to account for dynamics that are  ...  In this paper, we supply evidence that incorporating morally salient dimensions of a culture is critically important for producing relevant and accurate evaluations of social policy when using multi-agent  ...  The second approach utilizes multi-agent artificial intelligence (MAAI) strategies to construct more complex agent architectures for studying and simulating norms.  ... 
doi:10.1007/s00146-020-01028-5 pmid:32836907 pmcid:PMC7411344 fatcat:mqwimbexi5dw7em7bhp4wsf2om

Can Tags Build Working Systems? From MABS to ESOA [chapter]

David Hales, Bruce Edmonds
2004 Lecture Notes in Computer Science  
We outline new results coming from multi-agent based social simulation (MABS) that harness "tag-based" mechanisms in the production of self-organized behavior in simulation models.  ...  Here we attempt to move towards the application of these mechanisms to issues in self-organizing software engineering -i.e. how to program software agents that can self-organize to solve real problems.  ...  More specifically, if we view an agent based system as a kind of artificial society composed of various types of artificial agents then what kinds of mechanisms do we need to implement to allow those agents  ... 
doi:10.1007/978-3-540-24701-2_13 fatcat:mbotklp2ejhkfpskeejccgkqh4

Towards Modeling Securities Markets as a Society of Heterogeneous Trading Agents [chapter]

Paulo André Lima de Castro, Simon Parsons
2014 Lecture Notes in Business Information Processing  
Furthermore, this observation suggests that in high volatility period trading agent strategies are influenced by some other factor that is not present or is smaller in other period.  ...  This context inspired the goal of this work: modeling trading agents to populate an artificial market and use it to predict market price evolution in high and low volatility periods.  ...  In our model, we compare the price defined by our artificial society, a set of fundamentalist, technical and market making agents, with actual prices obtained real stock exchange.  ... 
doi:10.1007/978-3-319-13218-1_2 fatcat:tabxrgbaqrdgjk5cnkxasdd45i

Evolvement Complexity in an Artificial Stock Market

Yang Chun-Xia, Zhou Tao, Zhou Pei-Ling, Liu Jun, Tang Zi-Nan
2005 Chinese Physics Letters  
An artificial stock market is established based on multi-agent . Each agent has a limit memory of the history of stock price, and will choose an action according to his memory and trading strategy.  ...  The trading strategy of each agent evolves ceaselessly as a result of self-teaching mechanism.  ...  Here, we have found a phenomenon that the behavior of our artificial economical system is correlated with increased participants size, which is similar to that of insect societies.  ... 
doi:10.1088/0256-307x/22/4/065 fatcat:njwhxtdjnfgwxeifiidjy2q7fm

A study on social diffusive impacts of a novel car-navigation-system sharing individual information in Urban traffic systems

Hiroki Sagara, Jun Tanimoto
2007 2007 IEEE Congress on Evolutionary Computation  
Consequently, the model have pointed out that ST-pRIS, which is a further advanced strategy from ST-RIS, only partial information shared among agents, has a moderate potential to be diffused in a society  ...  Shortest Time Route with Route Information Sharing strategy (ST-RIS) that is assumed one of the solutions for a novel CNS based on bilateral information amid automobile agents.  ...  Working Note of The International Joint Conference of Artificial  ... 
doi:10.1109/cec.2007.4424557 dblp:conf/cec/SagaraT07 fatcat:tvvg4xsvfbdmxirib5wfsiudxu

ASSISI: Charged Hot Bees Shakin' in the Spotlight

T. Schmickl, M. Szopek, M. Bodi, S. Hahshold, G. Radspieler, R. Thenius, S. Bogdan, D. Miklic, Karlo Griparic, T. Haus, S. Kernbach, O. Kernbach
2013 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems  
In this article we describe the concept of generating a mixed society of honeybees and artificial (robotic) agents in the project ASSISI| bf .  ...  In our approach the artificial agents communicate with the natural agents through 4 physical channels, which are emphasized in this article: temperature, vibration, electromagnetic fields and light.  ...  In order to mimic movement of an artificial agent, we propose the development of prototype patterns executed by the CASU-matrix.  ... 
doi:10.1109/saso.2013.26 dblp:conf/saso/SchmicklSBHRTBMGHKK13 fatcat:epzqig2a2vexdnzdpc6kybnxvu

Self-Adaptive Swarm System (SASS) [article]

Qin Yang
2021 arXiv   pre-print
Distributed artificial intelligence (DAI) studies artificial intelligence entities working together to reason, plan, solve problems, organize behaviors and strategies, make collective decisions and learn  ...  This Ph.D. research proposes a principled Multi-Agent Systems (MAS) cooperation framework -- Self-Adaptive Swarm System (SASS) -- to bridge the fourth level automation gap between perception, communication  ...  , much like human society does.  ... 
arXiv:2106.04679v4 fatcat:k7npdu4yxbb4lgo2vmwdf5flpy

Communities, Anti-Communities, Pan-Community as Social Order [chapter]

Yutaka Nakai
2011 Agent-Based Approaches in Economic and Social Complex Systems VI  
We carried out evolutionary simulations on an artificial society with GFSSs agents etc.  ...  A society consisting of agents who can freely choose to attack or not to attack others inevitably evolves into a battling society (a "war of all against all").  ...  In the artificial society, agents play the following "battle game". Let us note that the battle game can be described as generalized exchanges under 2PD problem. (BG1) N agents play the game.  ... 
doi:10.1007/978-4-431-53907-0_10 fatcat:h3solk3ybfbfhhuudyhujjrqce

Social Norms of Cooperation With Costly Reputation Building

Fernando Santos, Jorge Pacheco, Francisco Santos
2018 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Social norms regulate actions in artificial societies, steering collective behavior towards desirable states.  ...  In real societies, social norms can solve cooperation dilemmas, constituting a key ingredient in systems of indirect reciprocity: reputations of agents are assigned following social norms that identify  ...  Research on social norms in artificial societies is usually divided in a top-down approach -in which norms are designed offline and imposed in agents by a central authority -or a bottom-up approach -in  ... 
doi:10.1609/aaai.v32i1.11582 fatcat:7wjgtcwvrnh6bh3y3bba2fddna

Reciprocal negotiation over shared resources in agent societies

Sabyasachi Saha, Sandip Sen
2007 Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07  
We are interested in domains where an agent repeatedly negotiates with other agents over shared resources where the demand or utility to the agent for the shared resources vary over time.  ...  The protocol, however, is not truth-revealing and selfish agents have the incentive to artificially inflate preferences.  ...  NEGOTIATION IN A SOCIETY We consider a society with N agents where each agent repeatedly negotiates shares of resources with other agents.  ... 
doi:10.1145/1329125.1329268 dblp:conf/atal/SahaS07 fatcat:xngf3xzzp5bjheh3njzerz27jm
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