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Conditional Learning of Rules and Plans by Knowledge Exchange in Logical Agents [chapter]

Stefania Costantini, Pierangelo Dell'Acqua, Luís Moniz Pereira
2011 Lecture Notes in Computer Science  
In this paper we introduce a form of cooperation among agents based on exchanging sets of rules.  ...  However, acquiring knowledge from untrustworthy agents should be avoided, and the new knowledge should be evaluated according to its usefulness.  ...  LEARNING BY RULE EXCHANGE Learning may allow agents to survive and reach their goals in environments where a static knowledge is insufficient.  ... 
doi:10.1007/978-3-642-22546-8_20 fatcat:ekzlg46mgvbmnppcfn76lkw2ii

Knowledge Acquisition Modeling Through Dialogue Between Cognitive Agents

Mehdi Yousfi-Monod, Violaine Prince
2007 International Journal of Intelligent Information Technologies  
It allows two agents, in a 'teacher' -'student' relationship, to exchange information with a learning incentive (on behalf of the 'student').  ...  It continues by describing the different aims of learning, their realization and the solutions provided for problems encountered by agents.  ...  Knowledge Base Properties First-Order Logic Each agent owns a knowledge base (KB), structured in first-order logic, with functions, so the knowledge unit is a formula.  ... 
doi:10.4018/jiit.2007010104 fatcat:vdmhkx43mzehbfdzojq6lut4ru

Toward Inductive Logic Programming for Collaborative Problem Solving

Jian Huang, Adrian R. Pearce
2006 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology  
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itself.  ...  Given a chosen path planning algorithm, our algorithm enables agents to combine their local knowledge in an effective way to avoid central control while significantly reducing communication costs.  ...  In prior work published by the authors [3] , inductive logic programming (ILP) has been proposed as an effective approach that facilitates interaction and collaboration during learning among agents.  ... 
doi:10.1109/iat.2006.121 dblp:conf/iat/HuangP06 fatcat:iuawcxir4jgkjp7i33eonnyggy

Page 917 of The Journal of the Operational Research Society Vol. 54, Issue 9 [page]

2003 The Journal of the Operational Research Society  
A context that supports such efforts is one that provides appropriate motivation to the agent to describe and analyse the knowledge she possesses, to exchange ideas though contact and discussion with other  ...  Notice that a better understanding of the knowledge by the agent, through articulation, testing, and validation, is likely to lead to more effective ways of performing the task, which in turn could generate  ... 

Knowledge and Security [article]

Riccardo Pucella
2013 arXiv   pre-print
Epistemic concepts, and in some cases epistemic logic, have been used in security research to formalize security properties of systems.  ...  This survey illustrates some of these uses by focusing on confidentiality in the context of cryptographic protocols, and in the context of multi-level security systems.  ...  in combination with the messages exchanged by the agents.  ... 
arXiv:1305.0876v1 fatcat:2ldo7jcaj5ezpfveemzsim7ihq

Knowledge Construction and Representation in E-Learning using Semantic Web Techniques

Jale Narimisaei, Bita Shadgar, Alireza Osareh
2012 International Journal of Computer Applications  
The proposed method is developed for creating knowledge base from existing concepts in fuzzy logic domain.  ...  In recent years utilization of semantic web techniques for knowledge construction and representation in E-learning gained so much attention.  ...  shared and reused in learning systems, and intelligent agents can use them in order to exchange information.  ... 
doi:10.5120/6092-8276 fatcat:waa3f425ujfuzl54kyyu7ibnxq

Logic and intelligent interaction

Thomas Ågotnes, Johan van Benthem, Eric Pacuit
2009 Synthese  
Successive learning acts in doxastic plausibility models for extensive games lead to "stable belief" in dynamic rationality during play, which eventually results in common knowledge of stable belief in  ...  Epistemological notions involved in identification in the limit are matched with logical statements, and a precise match is made between 'learning by erasing' and iterated belief revision by dynamic-doxastic  ... 
doi:10.1007/s11229-009-9558-0 fatcat:44sn5clk7zaijhvmmm54vwhgum

A framework for agent-based distributed machine learning and data mining

Jan Tozicka, Michael Rovatsos, Michal Pechoucek
2007 Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07  
Acknowledgement Research supported by Army Research Laboratory project N62558-03-0819 and Office for Naval Research project N00014-06-1-0232.  ...  collab- orative machine learning and data mining Learners: autonomous self-directed individual learning goals private knowledge Interaction mechanism should allow agents to: 1. exchange knowledge  ...  provided by other learners allows to exchange and integrate different types of knowledge p 3 .p 3 The Decision Mechanism Making Learning Decisions Having own model h, other's model h is accepted if: g  ... 
doi:10.1145/1329125.1329243 dblp:conf/atal/TozickaRP07 fatcat:ulmsfkdt7nf63gkxiqo5dz3fcm

Special Issue: Information Dynamics in Artificial Societies (IDAS@ESSLLI-14)

Emiliano Lorini, Laurent Perrussel, Roland Mühlenbernd
2016 Journal of Logic, Language and Information  
This workshop focused on information exchange between several artificial agents.  ...  Games (SLANG), of the 26th European Summer School in Logic, Language and Information (ESSLLI), 2014.  ...  This workshop focused on information exchange between several artificial agents.  ... 
doi:10.1007/s10849-016-9243-x fatcat:gjfl6gkzxncvthr4ln7v75vgzi

Logic and social interaction: introduction

Sujata Ghosh, R. Ramanujam
2010 Synthese  
Agents' knowledge may in general be limited in many ways. One important way is by which they access such knowledge: agents observe events in the external world,  ...  Logical studies of the role of communication, information exchange and even information hiding are broadening the scope of research on social interaction.  ...  Interaction between knowledge and communication in multi-agent scenarios is typically cast in a formal logic embedded in an informal communication language.  ... 
doi:10.1007/s11229-010-9769-4 fatcat:35xxfdmb4rfrdjfkqpdctelpou

Argumentative Procedures in e-Commerce Environments [chapter]

Paulo Novais, José Neves, Luís Brito, José Machado
2003 IFIP Advances in Information and Communication Technology  
problems of knowledge representation and reasoning, and machine learning.  ...  Logic programming and specially extended logic programming provides a powerful tool for achieving such goal; i.e., besides being mathematically correct it makes the prototyping phase easier.  ...  may progressively learn and adapt their mental states to a particular sort of arguments which are exchanged.  ... 
doi:10.1007/978-0-387-35617-4_45 fatcat:jfdak266zjar5ojvc7di7tstju

Inductive Learning in Small and Large Worlds

Simon M. Huttegger
2015 Philosophy and Phenomenological Research  
Let's consider exchangeability as an example. At least in his early work on inductive logic, Carnap seems to have thought of exchangeability as a logical principle.  ...  An agent might be capable to refine more radically, for example by throwing in states of the world.  ... 
doi:10.1111/phpr.12232 fatcat:6nfkigbrlrbkbodyqv2wqsp5xm

A contradiction-driven approach to theory formation: conceptual issues, pragmatics in human learning, potentialities

Germana Menezes da Nóbrega, Stefano A. Cerri, Jean Sallantin
2003 Journal of the Brazilian Computer Society  
we suggest potential instantiations of the model elsewhere than in Human Learning.  ...  Part of the work was supported by the IST Projects MKBEEM (Multilingual Knowledge Based European Electronic Market place) on eŋcommerce and LARFLAST (LeARning Foreign Language Scientific Terminology),  ...  Acknowledgements The work reported in this paper was partially supported by CAPES, Brasília, Brazil, under the grant BEX 1428/98-5.  ... 
doi:10.1590/s0104-65002003000300004 fatcat:5gcijqifebakflxrljxe44ow6q

Belief revision and organisational knowledge dynamics

G Tselekidis, P Peppas, M-a Williams
2003 Journal of the Operational Research Society  
The third layer relates to the exchanges and interactions between agents in terms of knowledge (eg the exchange of informa- tion and expert opinions with colleagues via a specialised language, about the  ...  The concept at focus in this area is the process by which an agent changes her beliefs in the light of new information.  ... 
doi:10.1057/palgrave.jors.2601592 fatcat:7svguskvyncaxcyjzd734vnive

A Pragmatic Logic of Scientific Discovery [chapter]

Jean Sallantin, Christopher Dartnell, Mohammad Afshar
2006 Lecture Notes in Computer Science  
To the best of our knowledge, this paper is the first attempt to formalise a pragmatic logic of scientific discovery in a manner such that it can be realised by scientists assisted by machines.  ...  Using Institution Agents, we define a dialectic process to manage contradiction. This allows autoepistemic Institution Agents to learn from a supervised teaching process.  ...  Conclusion We propose a pragmatic logic to manage scientific judgment. This set of judgments is closed by negation when using paraconsistent logic C1.  ... 
doi:10.1007/11893318_24 fatcat:pplu6753wnc75brigsrfm2lnre
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