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Causality and Epistemic Reasoning in Byzantine Multi-Agent Systems

Roman Kuznets, Laurent Prosperi, Ulrich Schmid, Krisztina Fruzsa
2019 Electronic Proceedings in Theoretical Computer Science  

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2019 pre-print arXiv:1907.09112v1 fatcat:32y2rcp6dbbcffl376y2uljvzm
Using our new framework for epistemic reasoning in fault-tolerant multi-agent systems, we determine the byzantine analog of the causal cone and describe a communication structure, which we call a multipede  ...  We provide the first epistemic analysis of causality in the presence of byzantine agents, i.e., agents that can deviate from their protocol and, thus, cannot be relied upon.  ...  Major contributions: In this paper, we generalize the causality structure of asynchronous distributed systems described above to multi-agent systems involving byzantine faulty agents.  ... 
doi:10.4204/eptcs.297.19 fatcat:4bfsap3hpjf6tl4t2x6gdjfi6u
DOAJ Multiple Versions
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Roman Kuznets, Laurent Prosperi, Ulrich Schmid, Krisztina Fruzsa. "Causality and Epistemic Reasoning in Byzantine Multi-Agent Systems." Electronic Proceedings in Theoretical Computer Science (2019) 293-312

Causal Multi-Agent Reinforcement Learning: Review and Open Problems [article]

St John Grimbly, Jonathan Shock, Arnu Pretorius
2021 arXiv   pre-print

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2021 pre-print
arXiv:2111.06721v1 fatcat:ixaxkgbqknhkxifzwcmmxyhra4
This paper serves to introduce the reader to the field of multi-agent reinforcement learning (MARL) and its intersection with methods from the study of causality.  ...  We highlight key challenges in MARL and discuss these in the context of how causal methods may assist in tackling them. We promote moving toward a 'causality first' perspective on MARL.  ...  Towards Causal Multi-Agent RL In this section we examine a way to frame a Dec-POMDP as a multi-agent causal model.  ... 
arXiv:2111.06721v2 fatcat:jm7lrs7mhjd7liy7akos2zk2tu
Open Access Multiple Versions
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St John Grimbly, Jonathan Shock, Arnu Pretorius. "Causal Multi-Agent Reinforcement Learning: Review and Open Problems." arXiv (2021)

Inference in multi-agent causal models

Sam Maes, Stijn Meganck, Bernard Manderick
2007 International Journal of Approximate Reasoning  

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In this article, we demonstrate the usefulness of causal Bayesian networks as probabilistic reasoning systems.  ...  The main contribution of this article is the introduction of multi-agent causal models as a way to overcome the problems in a centralized setting.  ...  Causal inference can be impossible in a multi-agent causal model for two reasons.  ... 
doi:10.1016/j.ijar.2006.09.005 fatcat:wimkrdrjdven5fsi5wm4jrgupy
Szczepanski
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Sam Maes, Stijn Meganck, Bernard Manderick. "Inference in multi-agent causal models." International Journal of Approximate Reasoning (2007) 274-299

Representing causality and reasoning about controllability of multi-level flow-systems

Kai Heussen, Morten Lind
2010 2010 IEEE International Conference on Systems, Man and Cybernetics  

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However, knowledge-based reasoning about control situations remains a challenge due to the entanglement of process and control systems that co-establish the intended causal structure of a process.  ...  Due to this entanglement, reasoning about such systems depends on a coherent representation of control and process.  ...  ACKNOWLEDGMENT The work presented in this paper is a result of the research project Coherent Energy and Environmental System Analysis (CEESA), partly financed by The Danish Council for Strategic Research  ... 
doi:10.1109/icsmc.2010.5642272 dblp:conf/smc/HeussenL10 fatcat:zwzrxgcj2jeivm6t4ray2ocbwq
Citation

Kai Heussen, Morten Lind. "Representing causality and reasoning about controllability of multi-level flow-systems." 2010 IEEE International Conference on Systems, Man and Cybernetics (2010) 1896-1903

Multi-Agent Geosimulation in Support to Qualitative Spatio-Temporal Reasoning: COAs' "What if" Analysis as an Example [chapter]

Hedi Haddad, Bernard Mouli
2010 Modeling Simulation and Optimization - Focus on Applications  

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It is mainly characterized by the use of Agent-Based Models -particularly Multi-Agent Systems (MAS)and Geographic Information Systems (GIS) in order to model, simulate and study complex phenomena taking  ...  Intr"ducti"n Multi-Agent Geosimulation (MAGS) is a relatively novel approach to model-building and application in the geographic sciences and geocomputing (Torrens, 2008) .  ...  On the one hand, some AI research works have been interested in agent and multi-agent simulations in a spatial context, and the concept of spatial multi-agent systems has emerged (Rodrigues and Raper  ... 
doi:10.5772/8972 fatcat:yuqgaz6blncbrllyzzkmc654te
Citation

Hedi Haddad, Bernard Mouli. "Multi-Agent Geosimulation in Support to Qualitative Spatio-Temporal Reasoning: COAs' "What if" Analysis as an Example." Modeling Simulation and Optimization - Focus on Applications (2010)

P.P. Nayak and L. Joskowicz, Efficient compositional modeling for generating causal explations

1996 Artificial Intelligence  

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The complexity of reasoning is a fundamental issue in AI. In many cases, the fact that an intelligent system needs to perform reasoning on-line contributes to the difficulty of this reasoning.  ...  This paper considers the case in wllich an intelligent system computes whether a query is entailed by the system's knowledge base.  ...  Lin, Integration of weighted knowledge bases lntegration of information from multiple sources is a key issue in many areas such as cooperative information systems, multi-databases and multi-agents reasoning  ... 
doi:10.1016/0004-3702(96)80451-6 fatcat:kic53uh5dzcfxdo633bydfisym
Szczepanski
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"P.P. Nayak and L. Joskowicz, Efficient compositional modeling for generating causal explations." Artificial Intelligence 83.1 (1996) 189-190

Intra-agent Explanation Using Temporal and Extended Causal Maps

Aroua Hedhili Sbaï, Wided Lejouad Chaari, Khaled Ghédira
2013 Procedia Computer Science  

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Explanation of intelligent systems was and is still an important issue in Artificial Intelligence discipline, especially, in complex systems like Multi-Agent Environments.  ...  In fact, during its uncontrollable execution, the agent reasoning is not clearly reproducible for the user. The complex nature of such systems requires methods and tools to make them intelligible.  ...  We believe that being able to explain their own reasoning is a crucial feature for multi-agent systems.  ... 
doi:10.1016/j.procs.2013.09.100 fatcat:hzyaatz5erfkxgyiatofhtjq7y
Open Access
Citation

Aroua Hedhili Sbaï, Wided Lejouad Chaari, Khaled Ghédira. "Intra-agent Explanation Using Temporal and Extended Causal Maps." Procedia Computer Science (2013) 241-249

Distributed multi-agent probabilistic reasoning with Bayesian networks [chapter]

Yang Xiang
1994 Lecture Notes in Computer Science  

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Section 8 discusses the role of causal independence in our framework.  ...  We show that the modularity of MSBNs allows a natural extension into a multi-agent reasoning formalism. We address the use of MSBNs in distributed interpretation, a subclass of problems in DAI.  ...  In addition, evidential reasoning in multi-agent systems raises new issues regarding consistency, which must be addressed.  ... 
doi:10.1007/3-540-58495-1_29 fatcat:of4zpsmt7ngubez2iqtnkmulfi
Citation

Yang Xiang. "Distributed multi-agent probabilistic reasoning with Bayesian networks." Lecture Notes in Computer Science (1994) 285-294

Using Semantic Causality Graphs to Validate MAS Models [chapter]

Guillermo Vigueras, Jorge J. Gómez, Juan A. Botía, Juan Pavón
2007 Advances in Soft Computing  

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We propose a visual tool to debug and validate some multi-agent system specication, capturing causality among messages sent by agents and showing semantic information related to interaction protocols used  ...  Multi-agent systems methodologies dene tasks and tools covering all the development cycle. Modelling and implementation activities are well supported and experimented.  ...  Acknowledgements This work has been supported by the Spanish Council for Science and Education under grant TIN-2005-08501-C03-02 and the project "Methods and tools for multi-agent systems modelling" supported  ... 
doi:10.1007/978-3-540-74972-1_3 dblp:series/asc/ViguerasGBP08 fatcat:vk63wc3fqjb3pdexoak23osdxu
Citation

Guillermo Vigueras, Jorge J. Gómez, Juan A. Botía, Juan Pavón. "Using Semantic Causality Graphs to Validate MAS Models." Advances in Soft Computing (2007) 9-16

Modeling Context-Aware Distributed Knowledge [chapter]

Jorge Louçã
2004 Lecture Notes in Computer Science  

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This paper presents a multi-agent model to support decisionmaking in organizations.  ...  To do so, context is conceptualized in cognitive maps, defining agent's mental states from concepts being causally related to their context.  ...  Introduction This paper proposes a multi-dimensional reasoning process in a multi-agent system.  ... 
doi:10.1007/978-3-540-24612-1_14 fatcat:hcrftv7jpzhkbbidjwupgbho44
Citation

Jorge Louçã. "Modeling Context-Aware Distributed Knowledge." Lecture Notes in Computer Science (2004) 201-212

Guiding Agent Learning in Design [chapter]

Dan L. Grecu, David C. Brown
2000 Knowledge Intensive Computer Aided Design  

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In this paper we discuss the need for learning in multi-agent design systems, and the variety of forms it might take.  ...  We propose a particular method of guiding learning in these systems, describe an architecture for its implementation, and discuss how the learning should be evaluated.  ...  LEARNING IN A MULTI-AGENT DESIGN SYSTEM Opportunities for learning Multi-agent design systems (MADS) are similar to organisations: their performance can be improved.  ... 
doi:10.1007/978-0-387-35582-5_13 fatcat:br5n7xktkfcxleuda62uezmg6y
Citation

Dan L. Grecu, David C. Brown. "Guiding Agent Learning in Design." Knowledge Intensive Computer Aided Design (2000) 275-293

Multi agent systems for flexible and robust Bayesian information fusion

Gregor Pavlin
2007 2007 10th International Conference on Information Fusion  

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In addition, implementation of multi agent fusion systems for real world applications can be theoretically as well as technically very challenging.  ...  This panel position paper discusses advantages and challenges of multi agent fusion systems (MAS) with respect to the modeling flexibility and fusion reliability.  ...  In this way the development as well as V&V activities can be focused on critical parts of the system (see [9] for an example of a model describing causes of faulty inference with BNs).  ... 
doi:10.1109/icif.2007.4408218 dblp:conf/fusion/Pavlin07 fatcat:ovwesrgbanejrhwy47qtku6eai
Citation

Gregor Pavlin. "Multi agent systems for flexible and robust Bayesian information fusion." 2007 10th International Conference on Information Fusion (2007) 1-4

On Models for Time-Sensitive Interactive Computing [chapter]

Merik Meriste, Leo Motus
2002 Lecture Notes in Computer Science  

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Agent-based paradigm is increasingly applied to building computing systems where conventionally latent requirements, e.g. time-sensitivity of data and event validity, and/or truth-values of predicates,  ...  In many such cases empirical demonstration of expected behaviour is not sufficient, formal verification of certain properties becomes desirable.  ...  In multi agent systems and in real-time systems each agent (component, subsystem) may have its own time system, imposed by its own immediate environment.  ... 
doi:10.1007/3-540-46043-8_15 fatcat:r73ma546vfbuhiiqe7rrjgx63m
Citation

Merik Meriste, Leo Motus. "On Models for Time-Sensitive Interactive Computing." Lecture Notes in Computer Science (2002) 156-165

Multi-agent Cooperation: A Description Logic View [chapter]

Jiewen Luo, Zhongzhi Shi, Maoguang Wang, He Huang
2009 Lecture Notes in Computer Science  

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In this paper we propose dynamic description logic for formalizing multi-agent cooperation process with a clearly defined syntax and semantics.  ...  In particular, we propose an effective dynamic planning algorithm for scheduling sub goals, which is greatly crucial for coordinating multi-agent behaviors.  ...  ACKNOWLEDGEMENTS The research work in this paper is supported by the National Basic Research Priorities Programme (No.2003CB317004), the 863 Project (2003AA115220) and National Natural Science Foundation  ... 
doi:10.1007/978-3-642-03339-1_29 fatcat:ffgzrvva6vanph6umdoavkzmj4
Citation

Jiewen Luo, Zhongzhi Shi, Maoguang Wang, He Huang. "Multi-agent Cooperation: A Description Logic View." Lecture Notes in Computer Science (2009) 365-379

Improving human understanding and design of complex multi-level systems with animation and parametric relationship supports

Paul Egan, Christian Schunn, Jonathan Cagan, Philip LeDuc
2015 Design Science  

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with respect to the development of reasoning skills for how system components relate across levels.  ...  These findings reveal the difficulties in understanding and designing multi-level systems and that interactive software tools may convey crucial information that supports engineering design, particularly  ...  in promoting inter-level causal reasoning.  ... 
doi:10.1017/dsj.2015.3 fatcat:ntqxkbtvhbbqllte3qif7m5lzi
DOAJ Szczepanski
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Paul Egan, Christian Schunn, Jonathan Cagan, Philip LeDuc. "Improving human understanding and design of complex multi-level systems with animation and parametric relationship supports." Design Science (2015)

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