Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"distributed artificial intelligence"”.
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Modeling and Analysis of the Collective Dynamics of Large-Scale Multi-Agent Systems
Keywords. multi-agent systems, distributed artificial intelligence, theoretical computer science, formal methods, computational complexity, cellular and network automata, agent-based modeling, discrete dynamical systems, complex systems.
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Cooperative Replanning in Response to Conflicts
… were theorized and transferred to the area of distributed artificial intelligence. Then, as a part of the study, a computational model of cooperative reactive replanning in response to conflicts by artificial intelligence was implemented based on the theories.
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The Role of Intelligent Mobile Agents in Network Management and Routing
… intelligent mobile agents to the management of distributed network environments is investigated. Intelligent mobile agents are programs which can move about network systems in a deterministic manner in carrying their execution state. These agents can be considered an application of distributed …
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An investigation into the use, application and evaluation of intelligent agents
… of Multi- Agent Systems (MAS), particularly Distributed Artificial Intelligence (DAI) applications, is dependent upon the underlying paradigm. The generic approach to the specification of agent applications, and the object-oriented rapid prototyping technique, have allowed different …
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Control and collective intelligence of multi-agent system
Distributed artificial intelligence (DAI) and multi-agent system (MAS) has recently gained increasing interest due to its vast applications in real-world problems. Inspired by the natural MAS, this thesis primarily focuses on the study of the collective intelligence and the joint behavior of MAS, …
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A Nomadicity-driven Negotiation Protocol, Tactics and Strategies for Interacting Software Agents.
… advanced mobile services and literature of Artificial Intelligence (AI) is quite remarkable and worth investigating. Cooperation, coordination and negotiation are some of AI's focal points wherein many of its related research efforts are strengthening the join between sophisticated research …
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Plan Acquisition Through Intentional Learning in BDI Multi-Agent Systems
… Systems (MAS), a technique emanating from Distributed Artificial Intelligence, is a suitable technique to study complex systems. They make it possible to represent and simulate both elements and interrelations of systems in a variety of domains. The most commonly used approach to develop …
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Architecture design and simulation for distributed learning classifier systems
In this thesis, we introduce the Distributed Learning Classifier System (DLCS) as a novel extension of J. H. Holland's standard learning classifier system. While the standard LCS offers effective real-time control and learning, one of its limitations is that it does not provide a mechanism for …
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K x N Trust-Based Agent Reputation
In this research, a multi-agent system called KMAS is presented that models an environment of intelligent, autonomous, rational, and adaptive agents that reason about trust, and adapt trust based on experience. Agents reason and adapt using a modification of the k-Nearest Neighbor algorithm called …
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Optimal power generation in microgrids using agent-based technology
… system application, based on autonomous and distributed controllers, is investigated in a virtual environment. The virtual environment being a full-scale simulation of ECU's microgrid; with solar panels, wind turbines, storage devices, gas gen-sets, and utility supply. Hence the simulation …
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På AI-teknikens axlar : Om kunskapssociologin och stark artificiell intelligens
… with Sociology’s stance in the debate on Strong Artificial Intelligence, i.e. such AI that is able to shape new knowledge without human interference. There is a need for sociologists to realize the difference between two approaches to constructing AI systems: Symbolic AI (or Classic AI) and …