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Optimal Requirements—Dependent Model-Driven Agent Development [chapter]

Joshua Z. Goncalves, Aneesh Krishna
2016 Lecture Notes in Information Systems and Organisation  
This paper presents our optimised model-driven agent development approach, demonstrating its conversion from the initial extended non-functional requirements model into a completely optimised and functional  ...  Recent years have seen various forms of extensions and approaches to BDI agent models, including a model-driven approach based around the Extended Non-functional requirements framework.  ...  Optimised Model-Driven Agent Development Approach This section provides an explanation of the methodology surrounding our model-driven agent development approach.  ... 
doi:10.1007/978-3-319-30133-4_10 fatcat:pdd6ygatfne7ff3dsvmcqykar4

Artificial Intelligence and Its Application in Optimization under Uncertainty [chapter]

Saeid Sadeghi, Maghsoud Amiri, Farzaneh Mansoori Mooseloo
2021 Artificial Intelligence  
This chapter also identifies fertile avenues for future research that focus on deep-data-driven optimization, deep data-driven models, as well as online learning-based data-driven optimization.  ...  This chapter reviews recent advances in data-driven optimization, highlighting the promise of data-driven optimization that integrates mathematical programming and machine learning (ML) for decision-making  ...  [67] developed a multi-agent RL technique to develop a supply chain management (SCM) system that enables agents to learn policies that optimize SC performance.  ... 
doi:10.5772/intechopen.98628 fatcat:mtbuaqghgvha3fa64osyahca2q

Toward Data-Driven Optimal Control: A Systematic Review of the Landscape

Krupa Prag, Matthew Woolway, Turgay Celik
2022 IEEE Access  
This literature review extends and contributes to research on the development of data-driven optimal control.  ...  Previous reviews have documented the development of model-based and data-driven control in isolation and have not critically reviewed reinforcement learning approaches for adaptive data-driven optimal  ...  RL leverages one such ADP method to solve for the optimal policy offline. The design of ADP may take one of many forms that are dependent on the structure of the agent.  ... 
doi:10.1109/access.2022.3160709 fatcat:lgjeczewgrf5ladwpaemmmt4oe

Multi-Agent-based Distributed Optimization for Demand-Side-Management Applications

Tim Dethlefs, Thomas Preisler, Wolfgang Renz
2014 Proceedings of the 2014 Federated Conference on Computer Science and Information Systems  
For the optimization of distributed demandside loads under such conditions, Multi-Agent Systems (MAS) have been shown to provide an appropriate paradigm to model, simulate and deploy automated operating  ...  For this purpose, a distributed Multi-Agent architecture is presented with a generic consumer model and an energy exchange market as well as further roles and components.  ...  The defined generic Device-Agent supports the planning of both program-driven and fully-automated devices without requiring domain specific knowledge about the optimizing agents.  ... 
doi:10.15439/2014f251 dblp:conf/fedcsis/DethlefsPR14 fatcat:4rjyt56krbgz5gu6lhkh5o2enm

Performance driven generative design systems: Agent based model driven design methodologies in architectural education

2014 Next Generation Building  
These experiments consciously fuse Agent based modeling (ABM), Associative and parametric design techniques, Swarm intelligence Models and Environmental analysis to evolve a comprehensive, performance  ...  driven design methodology.  ...  Agent based models Agent based models typically consist of autonomous rule based interacting agents with embedded levels of local intelligence and are situated in space and time (Gilbert, 2008 ).  ... 
doi:10.7564/13-ngbj4 fatcat:nmv2uantabetzmobc3txzxhyya

Three Categories of Context-Aware Systems [chapter]

Boris Shishkov, John Bruntse Larsen, Martijn Warnier, Marijn Janssen
2018 Lecture Notes in Business Information Processing  
is only fully covered by agent systems, in our view.  ...  service variants depending on the situation of the user; still others are about offering value-sensitivity when the society demands so.  ...  Hence, a basic assumption underlying the development of user-driven context-aware applications is that user needs are not static, however partially dependent on the particular situation the user finds  ... 
doi:10.1007/978-3-319-94214-8_12 fatcat:dkkvw6btingalmpe35zdypturu

Artificial Intelligence Paradigm for Customer Experience Management in Next-Generation Networks: Challenges and Perspectives [article]

Haris Gacanin, Mark Wagner
2018 arXiv   pre-print
With advancements of next-generation programmable networks a traditional rule-based decision-making may not be able to adapt effectively to changing network and customer requirements and provide optimal  ...  We elaborate on data analytics and artificial intelligence driven CEM and their functional differences.  ...  Finally, data-driven CEM is highly dependent on standardization and normalization of multi-vendor data-models [11] .  ... 
arXiv:1805.06254v1 fatcat:jhib6jjrqzdjfmsueri64lqgni

Data-driven Model Predictive and Reinforcement Learning-Based Control for Building Energy Management: a Survey

Huiliang Zhang, Sayani Seal, Di Wu, Francois Bouffard, Benoit Boulet
2022 IEEE Access  
Classical model predictive control (MPC) has shown effective in building energy management, although it suffers from labour-intensive modelling and complex online control optimization.  ...  Recently, with the growing accessibility to building control and automation data, data-driven solutions such as data-driven MPC and reinforcement learning (RL)-based methods have attracted more research  ...  MARL requires setting several agents, where different types of household appliances represent different agents with their actions and rewards.  ... 
doi:10.1109/access.2022.3156581 fatcat:ql34l2572fagbdq7vxrai7aclu

Risk-Sensitive Cooperative Games for Human-Machine Systems [article]

Agostino Capponi and Reza Ghanadan and Matt Stern
2017 arXiv   pre-print
We develop a class of performance measures for the proposed framework based on the concept of regret. We then evaluate their dependence on the risk-sensitivity and the degree of uncertainty.  ...  We propose a framework based on risk-sensitive dynamic games; the human seeks to optimize her risk-sensitive criterion according to her true preferences, while the machine seeks to adaptively learn the  ...  Acknowledgments This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA).  ... 
arXiv:1705.09580v1 fatcat:4o6gsgl42ze3beq6yyffyju7kq

A computational economy for grid computing and its implementation in the Nimrod-G resource broker

David Abramson, Rajkumar Buyya, Jonathan Giddy
2002 Future generations computer systems  
computing system called Nimrod-G manages all operations associated with remote execution including resource discovery, trading, scheduling based on economic principles and a user defined quality of service requirement  ...  However, application development, resource management, and scheduling in these environments continue to be a complex undertaking.  ...  The economic models that will be used are driven demand-and-supply, tenders/contract-net, and auctions protocols [8] . These new models will require suitable scheduling algorithms to be developed.  ... 
doi:10.1016/s0167-739x(02)00085-7 fatcat:4cvcfzhghzelto5b4am35nkrku

A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok [article]

David Abramson, Rajkumar Buyya, Jonathan Giddy
2001 arXiv   pre-print
However, application development, resource management, and scheduling in these environments continue to be a complex undertaking.  ...  computing system called Nimrod-G manages all operations associated with remote execution including resource discovery, trading, scheduling based on economic principles and a user defined quality of service requirement  ...  The economic models that will be used are driven demand-and-supply, tenders/contract-net, and auctions protocols [8] . These new models will require suitable scheduling algorithms to be developed.  ... 
arXiv:cs/0111048v1 fatcat:heg6cl4hh5eftigjnfhg4adwtu

Introduction to Agent Mining Interaction and Integration [chapter]

Longbing Cao
2009 Data Mining and Multi-agent Integration  
mining-driven agents, and mutual issues in agent mining.  ...  The marriage of agents and data mining is driven by challenges faced by both communities, and the need of developing more advanced intelligence, information processing and systems.  ...  user modeling -Data mining-driven user servicing -Data mining-driven network servicing -Data mining-driven agent recommender -Data mining-driven trading agents -Data mining agent assistant -Multi-agent  ... 
doi:10.1007/978-1-4419-0522-2_1 fatcat:4d4cx7wmvzgejnegoujwhrhs4u

SLA-driven business process management in SOA

Vinod Muthusamy, Hans-Arno Jacobsen, Phil Coulthard, Allen Chan, Julie Waterhouse, Elena Litani
2007 CASCON '07: Proceedings of the 2007 conference of the center for advanced studies on Collaborative research  
To help automatically determine an optimal placement of agents, we now develop a cost model to compare different placement possibilities.  ...  Then, in the development stage, architects and developers break the abstract process model into development artifacts such as services, and implement the required business logic.  ... 
doi:10.1145/1321211.1321243 dblp:conf/cascon/MuthusamyJCCWL07 fatcat:eh6yinlpojdbjgptujfxpwlhfm

SLA-driven business process management in SOA

Vinod Muthusamy, Hans-Arno Jacobsen, Tony Chau, Allen Chan, Phil Coulthard
2009 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research - CASCON '09  
To help automatically determine an optimal placement of agents, we now develop a cost model to compare different placement possibilities.  ...  Then, in the development stage, architects and developers break the abstract process model into development artifacts such as services, and implement the required business logic.  ... 
doi:10.1145/1723028.1723040 dblp:conf/cascon/MuthusamyJCCC09 fatcat:pjhdifovnzdkrjvbrhotxsqwja

An integrated approach of MAS-CommonKADS, Model–View–Controller and web application optimization strategies for web-based expert system development

S.S. Hasan, R.K. Isaac
2011 Expert systems with applications  
Communication model details the human-software agent interactions and human factors for developing these user interfaces.  ...  Coordination and Communication Model : Coordination model describes the conversations between agents, that is, their interactions, protocols and required capabilities.  ...  models and determines the most suitable agent architecture for each agent, and the requirements of the agent network.  ... 
doi:10.1016/j.eswa.2010.06.080 fatcat:quy635j3uvfexg4b2moe3t6f3y
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