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161
A Self-organizing Multi-agent System for Adaptive Continuous Unsupervised Learning in Complex Uncertain Environments
"... Introduction. Continuous learning and online decisionmaking in complex dynamic environments under conditions of uncertainty and limited computational recourses represent one of the most challenging problems for developing robust intelligent systems. The existing task of unsupervised clustering in s ..."
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Introduction. Continuous learning and online decisionmaking in complex dynamic environments under conditions of uncertainty and limited computational recourses represent one of the most challenging problems for developing robust intelligent systems. The existing task of unsupervised clustering
Using Pedagogical Agents In a Multi-strategic Intelligent Tutoring System
, 1997
"... : acquiring and modeling knowledge in Intelligent Tutoring Systems (ITS) design is more complex than in most other knowledge based systems since ITS incorporate different kinds of expertise (knowledge on the subject matter, knowledge on the learner's knowledge, pedagogical expertise, etc.) that ..."
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Cited by 16 (1 self)
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to the learner and the different learning situations. To foster such an improvement we introduced the principle of actor. An actor is a form of intelligent agent which is reactive, instructable, adaptive and cognitive. The property of instructability is particularly important since by allowing the instructional
1A WEIGHTED-TREE SIMILARITY ALGORITHM FOR MULTI-AGENT SYSTEMS IN E-BUSINESS ENVIRONMENTS*
"... A tree similarity algorithm for match-making of agents in e-Business environments is presented. Product/service descriptions of seller and buyer agents are represented as node-labelled, arc-labelled, arc-weighted trees. A similarity algorithm for such trees is developed as the basis for semantic mat ..."
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A tree similarity algorithm for match-making of agents in e-Business environments is presented. Product/service descriptions of seller and buyer agents are represented as node-labelled, arc-labelled, arc-weighted trees. A similarity algorithm for such trees is developed as the basis for semantic
A Framework for Multi-Agent Negotiation System Using Adaptive Fuzzy Logic in Resource Allocation
"... A multi-agent system is a system which applies various autonomous agents to accomplish some specified goals. Such system is suitable for resource allocation problem since the nature of resource trading requires multiple agents to request for geographically dispersed heterogeneous resources. In order ..."
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. In order to support such a dynamic situation, a multi-agent system must be extended to accommodate agent with a high negotiation skill capability, that is the ability of learning from the requirements of resources advertised by the involving agents during each interactions. One way of achieving
E.: Emergent construction of melodic pitch and hierarchy through agents communicating emotion without melodic intelligence
- In Proceedings of 2011 International Computer Music Conference (ICMC 2011), International Computer Music Association
, 2011
"... A multi-agent system is presented which generates melody pitch sequences with a hierarchical structure. The system has no explicit melodic intelligence and generates the pitches as a result of emotional influence and communication between agents, and the hierarchical structure is a result of the eme ..."
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Cited by 7 (6 self)
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of the emerging agent social structure. Another key element is that the system is not a mapping from multi-agent interaction onto musical features, but actually utilizes music for the agents to communicate emotions. Each agent in the society learns its own growing tune during the interaction process. 1.
Using Emotional Learning in Rescue Simulation Environment
"... Abstract—RoboCup Rescue simulation as a large-scale Multi agent system (MAS) is one of the challenging environments for keeping coordination between agents to achieve the objectives despite sensing and communication limitations. The dynamicity of the environment and intensive dependency between acti ..."
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of amygdale and limbic system. The paper presents the results obtained by the proposed approach, showing the power of BELBIC as a decision making tool in complex and dynamic situation. Keywords—Emotional learning, rescue, simulation environment, RoboCup, multi-agent system. I.
page 1 Using Pedagogical Agents In a Multi-strategic Intelligent Tutoring System
"... Abstract: acquiring and modeling knowledge in Intelligent Tutoring Systems (ITS) design is more complex than in most other knowledge based systems since ITS incorporate different kinds of expertise (knowledge on the subject matter, knowledge on the learner’s knowledge, pedagogical expertise, etc.) t ..."
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to the learner and the different learning situations. To foster such an improvement we introduced the principle of actor. An actor is a form of intelligent agent which is reactive, instructable, adaptive and cognitive. The property of instructability is particularly important since by allowing the instructional
A Group Learning Management Method for Intelligent Tutoring Systems. Informatica 31:191–199
, 2007
"... In this paper we propose a group management specification and execution method that seeks a compromise between simple course design and complex adaptive group interaction. This is achieved through an authoring method that proposes predefined scenarios to the author. These scenarios already include c ..."
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Cited by 1 (0 self)
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complex learning interaction protocols in which student and group models use and update are automatically included. The method adopts ontologies to represent domain and student models, and object Petri nets to specify the group interaction protocols. During execution, the method is supported by a multi-agent
INTELLIGENT ADAPTIVE LEARNING IN A CHANGING ENVIRONMENT
"... In order to develop ever more intelligent and autonomous systems, it is necessary to make them self-learning, since it is impossible to include in their program everything they may encounter during their life-cycle. In this research work, we aim at answering the following: if a system’s environment ..."
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In order to develop ever more intelligent and autonomous systems, it is necessary to make them self-learning, since it is impossible to include in their program everything they may encounter during their life-cycle. In this research work, we aim at answering the following: if a system’s environment
Soccer without intelligence
- In ROBIO09: Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics
, 2009
"... Abstract—Robot soccer is an excellent testbed to explore innovative ideas and test the algorithms in multi-agent systems (MAS) research. A soccer team should play in an organized manner in order to score more goals than the opponent, which requires well-developed individual and collaborative skills, ..."
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Cited by 1 (1 self)
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Abstract—Robot soccer is an excellent testbed to explore innovative ideas and test the algorithms in multi-agent systems (MAS) research. A soccer team should play in an organized manner in order to score more goals than the opponent, which requires well-developed individual and collaborative skills
Results 1 - 10
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161
