Results 1 - 10
of
22
Interaction is Meaning: A New Model for Communication in Open Systems
, 2003
"... We propose a new model for agent communication in open systems that is based on the principle that the meaning of communicative acts lies in their experienced consequences. A formal framework for analysing such evolving semantics is defined. An extensive analysis of example interaction processes sho ..."
Abstract
-
Cited by 18 (16 self)
- Add to MetaCart
(Show Context)
We propose a new model for agent communication in open systems that is based on the principle that the meaning of communicative acts lies in their experienced consequences. A formal framework for analysing such evolving semantics is defined. An extensive analysis of example interaction processes shows that our framework allows for an assessment of several properties of the communicative conventions governing a multiagent system. Among other advantages, our framework is capable of providing a very straightforward definition of communicative conflict. Also, it allows agents to reason about the e#ects of their communicative behaviour on the structure of communicative expectations as a whole when making decisions.
An Approach to the Analysis and Design of Multiagent Systems Based on Interaction Frames
, 2002
"... BA2C2D93EGFBHHBIKJ#L7<2?8MN9OPQ9;=@/2?BASRT?8:6=@/U9V7W<U78X OGYZ3>143678<A[AZ93>14\N<?WR]PVCUOG=@1K7W\N9;<B=^3YZ3=@9PQ3_=@/7`=a143^b783>9cA[?N<[=@/29 <2?W=@14?N<23?WRd >14\N<?WR]PVCUOG=@1K7W\N9;<B=^3YZ3=@9PQ3_=@/7`=a143^b783>9cA[?N<[=@/29 2 D;952=@C ..."
Abstract
-
Cited by 18 (15 self)
- Add to MetaCart
(Show Context)
BA2C2D93EGFBHHBIKJ#L7<2?8MN9OPQ9;=@/2?BASRT?8:6=@/U9V7W<U78X OGYZ3>143678<A[AZ93>14\N<?WR]PVCUOG=@1K7W\N9;<B=^3YZ3=@9PQ3_=@/7`=a143^b783>9cA[?N<[=@/29 <2?W=@14?N<23?WRd >14\N<?WR]PVCUOG=@1K7W\N9;<B=^3YZ3=@9PQ3_=@/7`=a143^b783>9cA[?N<[=@/29 2 D;952=@CU7WO&R -50170 WR]PVCUOG=@1K7W\N9;<B=^3YZ3=@9PQ3_=@/7`=a143^b783>9cA[?N<[=@/29 2 3>?&D;1K9j=@1K9;36D?N<23>143=@1K<2\Q?WR]3>?&D1K78OKOGY14<&=@9O4O414\N9<&=7W\N9;<B=@3_=@/7`=#:@9D?8:yA 78<A?W:@\78<U143>9*=@/U91G:14<&=@9;:y7WD;=@14?W<9;Z5(9;:@149<UD;93>?7W3=@?CU3>9*1G= 3=>:y7`=@9\N14Dc78O4O4Y14<RTCZ=@C2:@9r14<&=@9;:y7WD;=@14?W<U3uv97WO43>?52:@?`MB1KA29rD;:@1G=@9;X :@1K7rRT?W:=@/29DOK783>3x?8R_}[*EGFBHHBIKJ1K33>C21G=@9cAR v97WO43>?52:@?`MB1KA2 ?8R?WC2:07W5U5Z:@?78Dj/78:@9^=@/7`=!1G=0/29O45U3=@?VC2<A29j:@3=y7W<A7W<ArAZ9M9O4?N5 3>?&D;178O4O4Y14<B=@9;OKO414\N9;<B=78\N9<&=@37W3z!9O4O783=@?w1KA29;<B=@1GRY3>/U?W:>=@D;?NPX 14<2\N3#?WR9;Z1K3=@14<2\Q}[6(uZ.0/U96PQ9j=@/U?BAQ143^9;MN78OKCU78=@9cAQ=@/2:@?WCU\W/=@/29 78<78O4YZ3>1436?8R078<?W5U5(?W<U9<&=aDOK7W3>3>1GDc7`=@14?N</29C2:@143=@14Dx=@/U78=1K3aCU3>9cA =@?w?N52=@14PQ143>93=>:y78=@9;\N14Db(9/7cMB14?NC2:14<PVCUOG=@1K7W\W9<&=r\7WPQ9;3L^7W<A 14<&=@9;:@93=@14<2\Q1K3>3>C293#RT?8:aR 7cMB14?NC2:14<PVCUOG=@1K7W\W9<&=r\7WPQ9;3L^7 Keywords B?&D1K7WOB:@9c7W3>?W<U14<U\78:@Dy/U1G=@9D;=@CZ:@93L8=@/U9?8:@1K9;3?WR(78\N9<2D;YV7W<UAx78C2=@?W<2X ?WPVY&LU3>?&D14?NO4?N\W1KD7WO4OGYw\8:@?NCU<UA29cA[PQ9j=@/U?BA23LU3>?&D1K7WO?8:yA29;:cL(D;?N<&=>:@?NO 1.
Determining When to Use an Agent-Oriented Software Engineering Paradigm
- In Proceedings of the Second International Workshop On Agent-Oriented Software Engineering (AOSE-2001
, 2001
"... . With the emergence of agent-oriented software engineering techniques, software engineers have a new way of conceptualizing complex distributed software requirements. To help determine the most appropriate software engineering methodology, a set of defining criteria is required. In this paper, ..."
Abstract
-
Cited by 15 (0 self)
- Add to MetaCart
. With the emergence of agent-oriented software engineering techniques, software engineers have a new way of conceptualizing complex distributed software requirements. To help determine the most appropriate software engineering methodology, a set of defining criteria is required. In this paper, we describe out approach to determining these criteria, as well as a technique to assist software engineers with the selection of a software engineering methodology based on those criteria. 1
Communication Systems: A Unified Model of Socially Intelligent Systems
- In K. Fischer, M. Florian: Socionics: Its Contributions to the Scalability of Complex Social Systems. Springer LNAI
, 2004
"... This paper introduces communication systems (CS) as a unified model for socially intelligent systems. This model derived from sociological systems theory, combines the empirical analysis of communication in a social system with logical processing of social information to provide a general framewo ..."
Abstract
-
Cited by 14 (13 self)
- Add to MetaCart
(Show Context)
This paper introduces communication systems (CS) as a unified model for socially intelligent systems. This model derived from sociological systems theory, combines the empirical analysis of communication in a social system with logical processing of social information to provide a general framework for computational components that exploit communication processes in multiagent systems.
Automated Derivation of Complex Agent Architectures from Analysis Specifications
- Proceedings of the Second International Workshop On Agent -Oriented Software Engineering (AOSE-2001
, 2001
"... . Multiagent systems have been touted as a way to meet the need for distributed software systems that must operate in dynamic and complex environments. However, in order for multiagent systems to be effective, they must be reliable and robust. Engineering multiagent systems is a non-trivial task ..."
Abstract
-
Cited by 13 (2 self)
- Add to MetaCart
(Show Context)
. Multiagent systems have been touted as a way to meet the need for distributed software systems that must operate in dynamic and complex environments. However, in order for multiagent systems to be effective, they must be reliable and robust. Engineering multiagent systems is a non-trivial task, providing ample opportunity for even experts to make mistakes. Formal transformation systems can provide automated support for synthesizing multiagent systems, which can greatly improve their correctness and reliability. This paper describes a semi-automated transformation system that generates an agent's internal architecture from an analysis specification in the MaSE methodology. 1
Dynamic semantics for agent communication languages
, 2007
"... This paper proposes dynamic semantics for agent communication languages (ACLs) as a method for tackling some of the fundamental problems associated with agent communication in open multiagent systems. Based on the idea of providing alternative semantic “variants ” for speech acts and transition rule ..."
Abstract
-
Cited by 9 (0 self)
- Add to MetaCart
(Show Context)
This paper proposes dynamic semantics for agent communication languages (ACLs) as a method for tackling some of the fundamental problems associated with agent communication in open multiagent systems. Based on the idea of providing alternative semantic “variants ” for speech acts and transition rules between them that are contingent on previous agent behaviour, our framework provides an improved notion of grounding semantics in ongoing interaction, a simple mechanism for distinguishing between compliant and expected behaviour, and a way to specify sanction and reward mechanisms as part of the ACL itself. We extend a common framework for commitment-based ACL semantics to obtain these properties, discuss desiderata for the design of concrete dynamic semantics together with examples, and analyse their properties.
Empirical Semantics of Agent Communication in Open Systems
- In Proceedings of the Second International Workshop on Challenges in Open Agent Environments at AAMAS-2003
, 2003
"... The paper proposes a novel approach to the semantics of communication of self-interested and autonomous agents in open systems. It defines the semantics of communicative acts primarily as the observable e#ect of their actual use in social encounters, and di#ers thus fundamentally from mentalistic an ..."
Abstract
-
Cited by 8 (7 self)
- Add to MetaCart
The paper proposes a novel approach to the semantics of communication of self-interested and autonomous agents in open systems. It defines the semantics of communicative acts primarily as the observable e#ect of their actual use in social encounters, and di#ers thus fundamentally from mentalistic and current objectivist approaches to the semantics of agent communication languages. Empirical communication semantics enables the designer of agent-oriented software applications as well as agents to reason about social structures on the level of dynamically formed expectations, which we consider to be a crucial capability especially for social reasoning within and about open systems with truly autonomous black- or gray-box agents.
Multiagent Systems without Agents - Mirror-Holons for the Compilation and Enactment of Communication Structures
- In this volume
, 2003
"... Abstract. It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-based applications like flexibility, robustness and emergence of novel solutions, autonomy might be also the reason ..."
Abstract
-
Cited by 6 (5 self)
- Add to MetaCart
(Show Context)
Abstract. It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-based applications like flexibility, robustness and emergence of novel solutions, autonomy might be also the reason for undesired or even chaotic agent behavior. As a conceptual approach to the solution for this “autonomy dilemma ” of agent-based software engineering, this work introduces the HolOMAS framework for open multiagent systems based on special meta-agents, so-called Mirror-Holons. Instead of restricting agent autonomy by means of normative constraints and defined organizational structures as usual, Mirror-Holons allow for the gradual uncoupling of agent interaction and emergent system functionality. Their main purpose is the derivation and adaption of social structure knowledge and evolving stochastical social programs from the observation and compilation of agent communication and additional design objectives. Social programs can either be executed by the Mirror-Holons themselves, or communicated to the agents and the system designer, similar to the functionality of mass media like television or newspapers in human societies.
Expectation-Oriented Modeling
- In International Journal “Engineering Applications of Artificial Intelligence” (EAAI), Elsevier
, 2005
"... This work introduces Expectation-oriented Modeling (EOM) as a conceptual and formal framework for the modeling and in uencing of black- or gray-box agents and agent interaction from the viewpoint of modelers like arti cial agents and application designers. EOM is unique in that autonomous agent beha ..."
Abstract
-
Cited by 4 (3 self)
- Add to MetaCart
(Show Context)
This work introduces Expectation-oriented Modeling (EOM) as a conceptual and formal framework for the modeling and in uencing of black- or gray-box agents and agent interaction from the viewpoint of modelers like arti cial agents and application designers. EOM is unique in that autonomous agent behavior is not restricted in advance, but only if it turns out to be necessary at runtime, and does so exploiting a seamless combination of evolving probabilistic and normative behavioral expectations as the key modeling abstraction and as the primary level of analysis and in uence. Expectations are attitudes which allow for the relation of observed and predicted actions and other events to the modeler's intentions and desires on the one hand and her beliefs on the other in an integrated, adaptive manner. In this regard, this work introduces a formal framework for the representation and the semantics of expectations embedded in social contexts. We see the applicability of EOM especially in open domains with a priori unknown and possibly unreliable and insincere actors, where the modeler can not rely on cooperation or pursue her goals through the exertion of strictly normative power, e.g. the development and assertion of exible interaction policies for trading platforms in the Internet, as illustrated in a case study. To our knowledge, EOM is the rst approach to the speci cation, prediction, analysis and in uencing of social interaction that aims at tackling the level of expectations explicitly and systematically, and allow for representing the beliefs and the intentions of agents in terms of empirical and desired predictions.