• Implementing reactive BDI agen...

Result: Implementing reactive BDI agents with user-given constraints and objectives : From Agent Theory to Agent Implementation 6: A Selection of Contributions

Title:
Implementing reactive BDI agents with user-given constraints and objectives : From Agent Theory to Agent Implementation 6: A Selection of Contributions
Authors:
DASGUPTA, Aniruddha, GHOSE, Aditya K
Source:
International journal of agent-oriented software engineering (Print). 4(2):141-154
Publisher Information:
Genève: Inderscience Publishers, 2010.
Publication Year:
2010
Physical Description:
print, 1/2 p
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Logistique, Logistics, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Intelligence artificielle, Artificial intelligence, Energie, Energy, Energie naturelle, Natural energy, Biomasse, Biomass, Agent intelligent, Intelligent agent, Agente inteligente, Biomasse, Biomass, Biomasa, Calcul symbolique, Symbolic computation, Cálculo simbólico, Indice aptitude, Capability index, Indice aptitud, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Interpréteur, Interpreter, Intérprete, Langage programmation, Programming language, Lenguaje programación, Logiciel libre, Open source software, Software libre, Logistique, Logistics, Logística, Modèle BDI, Belief desire intention model, Modelo BDI, Modélisation, Modeling, Modelización, Orienté agent, Agent oriented, Orientado agente, Prise de décision, Decision making, Toma decision, Programmation logique avec contrainte, Constraint logic programming, Programación lógica con restricción, Préférence, Preference, Preferencia, Résolution problème, Problem solving, Resolución problema, Satisfaction contrainte, Constraint satisfaction, Satisfaccion restricción, Spécification, Specification, Especificación, Système multiagent, Multiagent system, Sistema multiagente, Système réactif, Reactive system, Sistema reactivo, Système temps réel, Real time system, Sistema tiempo real, Sémantique opérationnelle, Operational semantics, Semantica operacional, Temps réel, Real time, Tiempo real, BDI, biomass supply chain, constraint logic programming, constraint satisfaction and optimisation, reactive agents, real-time decision-making
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Decision Systems Lab, School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
ISSN:
1746-1375
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=22753826
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Energy

Operational research. Management
Accession Number:
edscal.22753826
Database:
PASCAL Archive

Further Information

CASO is an agent-oriented programming language based on AgentSpeak(L), one of the most influential abstract languages based on the beliefs-desires-intentions (BDI) architecture. For many applications, it is more convenient to let the user provide in real time, a more elaborate specification consisting of constraints and preferences over possible goal states. Then, let the system discover a plan for the most desirable among the feasible goal states. CASO incorporates constraints and objectives into the symbolic approach of reactive BDI model which lead to better expressive capabilities as well as more efficient computation. Jason is a fully-fledged interpreter for a much improved version of AgentSpeak(L). In this work, we modify Jason to incorporate the operational semantics of CASO. CASO also uses ECLiPSe, an open source constraint solver, to apply constraint solving techniques. Our preliminary results show that CASO can be used as a powerful multi-agent programming language in solving problems in complex application domains.