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Conditional Learning of Rules and Plans by Knowledge Exchange in Logical Agents
[chapter]
2011
Lecture Notes in Computer Science
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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
2007
International Journal of Intelligent Information Technologies
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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
2006
2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
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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
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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]
2013
arXiv
pre-print
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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
2012
International Journal of Computer Applications
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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
2009
Synthese
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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
2007
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07
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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)
2016
Journal of Logic, Language and Information
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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
2010
Synthese
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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]
2003
IFIP Advances in Information and Communication Technology
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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
2015
Philosophy and Phenomenological Research
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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
2003
Journal of the Brazilian Computer Society
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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
2003
Journal of the Operational Research Society
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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]
2006
Lecture Notes in Computer Science
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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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