A comparison of computational cognitive models: Agent-based system versus rule-based architectures

2003 ◽  
Author(s):  
Craig L. Oeltjen
Keyword(s):  
Cognitive Models ◽  
Rule Based ◽  
Agent Based ◽  
System Versus

Rule Engines and Agent-Based Systems

2012 ◽  
pp. 211-218 ◽  
Author(s):  
Agostino Poggi ◽  
Michele Tomaiuolo
Keyword(s):  
Dynamic Environments ◽  
Multi Agent Systems ◽  
Rule Engine ◽  
Rule Based ◽  
Agent Based ◽  
Agent Systems ◽  
Loosely Coupled ◽  
Domain Specific ◽  
Multi Agent ◽  
Good Support

Expert systems are successfully applied to a number of domains. Often built on generic rule-based systems, they can also exploit optimized algorithms. On the other side, being based on loosely coupled components and peer to peer infrastructures for asynchronous messaging, multi-agent systems allow code mobility, adaptability, easy of deployment and reconfiguration, thus fitting distributed and dynamic environments. Also, they have good support for domain specific ontologies, an important feature when modelling human experts’ knowledge. The possibility of obtaining the best features of both technologies is concretely demonstrated by the integration of JBoss Rules, a rule engine efficiently implementing the Rete-OO algorithm, into JADE, a FIPA-compliant multi-agent system.

scholarly journals Compartmental and spatial rule-based modeling with Virtual Cell (VCell)

2017 ◽  
Author(s):  
M. L. Blinov ◽  
J. C. Schaff ◽  
D. Vasilescu ◽  
I. I. Moraru ◽  
J. E. Bloom ◽  
...  
Keyword(s):  
Reaction Diffusion ◽  
Molecular Complexes ◽  
Reaction Diffusion Equations ◽  
Reaction Networks ◽  
The Novel ◽  
Modeling Framework ◽  
Rule Based ◽  
Agent Based ◽  
Virtual Cell ◽  
Stochastic Simulator

AbstractIn rule-based modeling, molecular interactions are systematically specified in the form of reaction rules that serve as generators of reactions. This provides a way to account for all the potential molecular complexes and interactions among multivalent or multistate molecules. Recently, we introduced rule-based modeling into the Virtual Cell (VCell) modeling framework, permitting graphical specification of rules and merger of networks generated automatically (using the BioNetGen modeling engine) with hand-specified reaction networks. VCell provides a number of ordinary differential equation (ODE) and stochastic numerical solvers for single-compartment simulations of the kinetic systems derived from these networks, and agent-based network-free simulation of the rules. In this work, compartmental and spatial modeling of rule-based models has been implemented within VCell. To enable rule-based deterministic and stochastic spatial simulations and network-free agent-based compartmental simulations, the BioNetGen and NFSim engines were each modified to support compartments. In the new rule-based formalism, every reactant and product pattern and every reaction rule are assigned locations. We also introduce the novel rule-based concept of molecular anchors. This assures that any species that has a molecule anchored to a predefined compartment will remain in this compartment. Importantly, in addition to formulation of compartmental models, this now permits VCell users to seamlessly connect reaction networks derived from rules to explicit geometries to automatically generate a system of reaction-diffusion equations. These may then be simulated using either the VCell partial differential equations (PDE) deterministic solvers or the Smoldyn stochastic simulator.

scholarly journals Perancangan dan Pembuatan Serious Game Sebagai Simulasi Aktivitas Bisnis dan Akuntansi Menggunakan Pendekatan Agent-Based Modelling

2017 ◽  
Vol 5 (2) ◽  
pp. 66
Author(s):  
Angga Ari Wijaya ◽  
Saiful Bukhori ◽  
Nelly Oktavia
Keyword(s):  
Personality Trait ◽  
Finite State Machine ◽  
State Machine ◽  
Serious Game ◽  
Agent Based Model ◽  
Rule Based ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Rule Based System ◽  
Finite State

Permainan memiliki efek positif dalam mendukung kemampuan motorik seseorang untuk berkembang. Salah satu bahasan menarik dalam permainan adalah simulasi bisnis yang memiliki kategori serious game untuk dijadikan alternatif media pembelajaran dalam memahami konsep dasar bisnis dan aktivitas akuntansi. Gameplay dibuat dengan menciptakan artificial bisnis level UKM yang melakukan aktivitas jual beli, dimana di dalamnya terdapat game world, pelanggan dan toko yang berinteraksi untuk menghasilkan fenomena sebuah pasar. Aktivitas jual beli menjadi dasar siklus akuntansi untuk pemain belajar dan memahami kejadian finansial. Setiap agent diberi attribute yang digunakan sebagai parameter untuk membentuk personality-trait dan pengambilan keputusan pembelian serta aktivitas yang membentuk tingkah laku sehari - hari melalui State Machine dan Rule Based System (RBS). Simulasi perilaku konsumen dalam pasar virtual digunakan sebagai trigger aktivitas utama bisnis yaitu transaksi penjualan. Kejadian finansial yang terjadi dari proses simulasi menghasilkan proses jurnal untuk memberikan pemain pengalaman dalam memproses transaksi dengan contoh sumber aktivitas buatan.Kata Kunci: Serious Game, Perilaku Konsumen, Agent-based Model, A Star, Stack Finite State Machine, Rule-Based System.

Design Principles and Applications of XRML

2005 ◽  
pp. 224-241
Author(s):  
Jae Kyu Lee ◽  
Mye M. Sohn
Keyword(s):  
Knowledge Management ◽  
Data Exchange ◽  
Web Pages ◽  
Markup Language ◽  
Web Based ◽  
Rule Based ◽  
Agent Based ◽  
Form Processing ◽  
Rule Structure ◽  
The Web

XML has become the standard platform for structured data exchange on the Web. The next concern of the Semantic Web is the exchange and process of rules in markup language form. The rules should be represented in such a way as to allow software agents to process and browse them for human comprehension. For this purpose, we propose a language eXtensible Rule Markup Language (XRML). XRML is composed of rule identification, rule structure, and rule triggering markup languages. In XRML, a critical concern is how to extract the structured rules from the Web pages and keep consistency between the two. By using the XRML, the Web-based Knowledge Management Systems (KMS) can be integrated with rule-based expert systems. The advanced architecture with XRML can extend the application of KMS to automated form processing, preventive auditing, rule exchange and integration, and agent-based e-commerce.

Virtual Manipulation of Eon Studio-Based for High Speed Labeling Machine

2012 ◽  
Vol 220-223 ◽  
pp. 57-60
Author(s):  
Yu Zhang ◽  
Yi Man Dou ◽  
Wen Zheng Cai ◽  
Yun Qin Zhu
Keyword(s):  
High Speed ◽  
Evidence Theory ◽  
Main Function ◽  
Rule Based ◽  
Agent Based ◽  
Multiple Agent ◽  
Routing Mechanism ◽  
And Function ◽  
Machine Interaction ◽  
Virtual Reality Application

High speed labeling machine builds virtual models and completes the design and realization of simulation manipulation by using the platform of virtual reality application of Eon Studio and SDK software, which realizes the communication message transmission among modules and gives the main function through the multi-party communication mechanism and function description, realizes the man-machine interaction function by applying the event driven and routing mechanism, solves better the conflict of multiple Agent by using Agent based-on rule-based reasoning and improved evidence theory, and eventually meets virtual manipulation function requirements of high speed labeling machine

Rule-Based Expert System versus Novices' Heuristics: A Matching Identification Problem

1998 ◽  
Vol 82 (3_suppl) ◽  
pp. 1423-1431
Author(s):  
A. Mehrez ◽  
G. Steinberg
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Identification Problem ◽  
Search Strategies ◽  
Problem Size ◽  
Rule Based ◽  
System Versus ◽  
Encoding And Retrieval

The present study focused on encoding and retrieval of knowledge as aids to decision-making by comparing the performance of rule-based expert systems and novices' heuristics within the framework of a matching identification problem. A rule-based expert system is developed with a computerized controlled procedure to evaluate and compare its performance with search strategies employed by novices. Analysis indicated that, as problem size increased, the system's outcome compared to novices' heuristics is improved.

Analytic Versus Computational Cognitive Models: Agent-Based Modeling as a Tool in Cognitive Sciences

2019 ◽  
Vol 28 (3) ◽  
pp. 299-305 ◽  
Author(s):  
Jens Koed Madsen ◽  
Richard Bailey ◽  
Ernesto Carrella ◽  
Philipp Koralus
Keyword(s):  
Complex Systems ◽  
Closed Form ◽  
Model Development ◽  
Cognitive Models ◽  
System Level ◽  
Model Parameters ◽  
Social Psychological ◽  
Agent Based Models ◽  
Agent Based ◽  
Closed Form Solutions

Computational cognitive models typically focus on individual behavior in isolation. Models frequently employ closed-form solutions in which a state of the system can be computed if all parameters and functions are known. However, closed-form models are challenged when used to predict behaviors for dynamic, adaptive, and heterogeneous agents. Such systems are complex and typically cannot be predicted or explained by analytical solutions without application of significant simplifications. In addressing this problem, cognitive and social psychological sciences may profitably use agent-based models, which are widely employed to simulate complex systems. We show that these models can be used to explore how cognitive models scale in social networks to calibrate model parameters, to validate model predictions, and to engender model development. Agent-based models allow for controlled experiments of complex systems and can explore how changes in low-level parameters impact the behavior at a whole-system level. They can test predictions of cognitive models and may function as a bridge between individually and socially oriented models.

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