Computational Logic in Multi-Agent Systems
Dix, Jürgen.
Computational Logic in Multi-Agent Systems 10th International Workshop, CLIMA X, Hamburg, Germany, September 9-10, 2009, Revised Selected and Invited Papers / [recurso electrónico] : edited by Jürgen Dix, Michael Fisher, Peter Novák. - IX, 197p. 40 illus. online resource. - Lecture Notes in Computer Science, 6214 0302-9743 ; . - Lecture Notes in Computer Science, 6214 .
Planning for Multiagent Using ASP-Prolog -- Expressing Properties of Resource-Bounded Systems: The Logics RTL * and RTL -- Reasoning about Multi-agent Domains Using Action Language : A Preliminary Study -- Model Checking Normative Agent Organisations -- Operational Semantics for BDI Modules in Multi-agent Programming -- InstQL: A Query Language for Virtual Institutions Using Answer Set Programming -- Interacting Answer Sets -- Argumentation-Based Preference Modelling with Incomplete Information -- A Characterization of Mixed-Strategy Nash Equilibria in PCTL Augmented with a Cost Quantifier -- On the Implementation of Speculative Constraint Processing.
These are the proceedings of the 10th International Workshop on Compu- tional Logic in Multi-Agent Systems (CLIMA-X), held September 9–10, 2009 in Hamburg, co-located with MATES. The purpose of the CLIMA workshops is to provide a forum for discussing techniques, based on computational logic, for representing, in a formal way, programming and reasoning about agents and multi-agent systems. Multi-agentsystemsarecommunitiesofproblem-solvingentitiesthatcanp- ceive and act upon their environment in order to achieve both their individual goals and their joint goals. The work on such systems integrates many techno- giesandconceptsfromarti?cialintelligenceandotherareasofcomputingaswell as other disciplines. Over recent years, the agent paradigm gained popularity, due to its applicability to a full spectrum of domains, such as search engines, recommendation systems, educational support, e-procurement, simulation and routing,electroniccommerceandtrade,etc.Computationallogicprovidesawe- de?ned, general, and rigorousframeworkfor studying the syntax, semantics and procedures for the various tasks in individual agents, as well as the interaction between, and integration among, agents in multi-agent systems. It also provides tools, techniques and standards for implementations and environments, for li- ing speci?cations to implementations, and for the veri?cation of properties of individual agents, multi-agent systems and their implementations. These proceedings feature nine regularpapers (from a total of 18 papers s- mitted), as wellas one paper basedonthe invited talk givenby TranCao Son. IntheinvitedpaperbyTranCaoSon,EnricoPontelli,andNgoc-HieuNguyen, “Planning for Multi-Agents Using ASP-Prolog,” the action language B is - tended to the multi-agent case. The used technology is based on answer set programming. The contribution by Nils Bulling and Berndt Farwer on “Expressing Prop-
9783642168673
Computer science.
Computer Communication Networks.
Software engineering.
Logic design.
Information systems.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Mathematical Logic and Formal Languages.
Computer Communication Networks.
Software Engineering.
Information Systems Applications (incl.Internet).
Logics and Meanings of Programs.
Q334-342 TJ210.2-211.495
006.3
Computational Logic in Multi-Agent Systems 10th International Workshop, CLIMA X, Hamburg, Germany, September 9-10, 2009, Revised Selected and Invited Papers / [recurso electrónico] : edited by Jürgen Dix, Michael Fisher, Peter Novák. - IX, 197p. 40 illus. online resource. - Lecture Notes in Computer Science, 6214 0302-9743 ; . - Lecture Notes in Computer Science, 6214 .
Planning for Multiagent Using ASP-Prolog -- Expressing Properties of Resource-Bounded Systems: The Logics RTL * and RTL -- Reasoning about Multi-agent Domains Using Action Language : A Preliminary Study -- Model Checking Normative Agent Organisations -- Operational Semantics for BDI Modules in Multi-agent Programming -- InstQL: A Query Language for Virtual Institutions Using Answer Set Programming -- Interacting Answer Sets -- Argumentation-Based Preference Modelling with Incomplete Information -- A Characterization of Mixed-Strategy Nash Equilibria in PCTL Augmented with a Cost Quantifier -- On the Implementation of Speculative Constraint Processing.
These are the proceedings of the 10th International Workshop on Compu- tional Logic in Multi-Agent Systems (CLIMA-X), held September 9–10, 2009 in Hamburg, co-located with MATES. The purpose of the CLIMA workshops is to provide a forum for discussing techniques, based on computational logic, for representing, in a formal way, programming and reasoning about agents and multi-agent systems. Multi-agentsystemsarecommunitiesofproblem-solvingentitiesthatcanp- ceive and act upon their environment in order to achieve both their individual goals and their joint goals. The work on such systems integrates many techno- giesandconceptsfromarti?cialintelligenceandotherareasofcomputingaswell as other disciplines. Over recent years, the agent paradigm gained popularity, due to its applicability to a full spectrum of domains, such as search engines, recommendation systems, educational support, e-procurement, simulation and routing,electroniccommerceandtrade,etc.Computationallogicprovidesawe- de?ned, general, and rigorousframeworkfor studying the syntax, semantics and procedures for the various tasks in individual agents, as well as the interaction between, and integration among, agents in multi-agent systems. It also provides tools, techniques and standards for implementations and environments, for li- ing speci?cations to implementations, and for the veri?cation of properties of individual agents, multi-agent systems and their implementations. These proceedings feature nine regularpapers (from a total of 18 papers s- mitted), as wellas one paper basedonthe invited talk givenby TranCao Son. IntheinvitedpaperbyTranCaoSon,EnricoPontelli,andNgoc-HieuNguyen, “Planning for Multi-Agents Using ASP-Prolog,” the action language B is - tended to the multi-agent case. The used technology is based on answer set programming. The contribution by Nils Bulling and Berndt Farwer on “Expressing Prop-
9783642168673
Computer science.
Computer Communication Networks.
Software engineering.
Logic design.
Information systems.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Mathematical Logic and Formal Languages.
Computer Communication Networks.
Software Engineering.
Information Systems Applications (incl.Internet).
Logics and Meanings of Programs.
Q334-342 TJ210.2-211.495
006.3
