The process modeling tool ProMoT [6, 5] has been developed for the object-oriented and equation-based modeling of chemical processes. This contribution presents the application of ProMoT to a novel application field: the design and implementation of a knowledge base for modeling metabolic networks in living cells. This knowledge base contains predefined modeling entities for the hierarchical ag...

Agent-oriented modeling is a top-down approach for modeling and simulating the behaviors of complex systems. This research addresses the application of agent-oriented modeling to eliciting and representing knowledge for social simulations. We provide an overview of agent-oriented modeling and describe a case study on conflict resolution that has an impact on winning “hearts and minds” of the oc...

Agent-based modeling had been revolving to be established approach in modeling simulation systems which are used to understand and predict certain real-life scenarios in specific domains. Past researches which are domain-specific caused repetitive building of new models from scratch and restrict replication and reuse because of limitation of models’ description. This paper presents a review of ...

this paper presents optimal control method to path planning of mobile robots with flexible joints. dynamic equations are derived and additional kinematic constraints are used to solve the extra dofs arose from base mobility. then with modeling the elasticity at each joint as a linear torsinal spring, the set of equations are formed. the hamiltonian function is formed and the necessary condition...

Most of the existing model verification and validation techniques are largely used in the industrial and system engineering fields. The agent-based modeling approach is different from traditional equation-based modeling approach in many aspects. As the agent-based modeling approach has recently become an attractive and efficient way for modeling large-scale complex systems, there are few formal...

The current object-oriented development practice system analysis is documented through UML artifacts such as Class and Sequence diagrams. Since UML is a widely accepted modeling language, it also would be desirable to offer a UML support for the representation of agent-based system analysis artifacts. Although some central UML constructs are suitably matched for agent-based modeling, several im...

Agent-based modeling is used in many areas of science. Agent-based modeling has originated in AI, and its initial purpose of use differs from many applications it has nowadays. This shift in the usage of agent-based thinking causes a discontinuation point in the philosophical background of the method. This paper discusses two issues arising from this setting: (2) the history of agentbased model...

cognition and multi-agent interaction cognition and multi-agent interaction cognition and multi agent interaction from cognitive cognition and multi-agent interaction cognition and multi agent interaction from cognitive cognitive modeling of social behaviors nasa cognitive modeling of social behaviors act r tutorial (half day) cognitive science cognitive architectures and multi-agent social sim...

Agent-based software engineering has been regarded as a new notion to build complex software systems. A seamless development, from modeling to implementation of agent-based software, is the new revolution in software engineering. However, there has not been a simple and efficient means to facilitate agent-based software development. In this paper, we propose an agent-based software development ...

Title of Document: AGENT AUTONOMY APPROACH TO PROBABILISTIC PHYSICS-OF-FAILURE MODELING OF COMPLEX DYNAMIC SYSTEMS WITH INTERACTING FAILURE MECHANISMS Katherine Emily Gromek, Doctor of Philosophy (Ph.D.) in Reliability Engineering 2015 Directed By: Professor Mohammad Modarres, Department of Mechanical Engineering A novel computational and inference framework of the physics-of-failure (PoF) reli...