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Shared Strategies in Artificial Agent Societies
[chapter]
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]
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
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
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]
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
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]
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]
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
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
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
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]
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]
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
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
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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