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autonomous agent

Modified Evolutionary Autonomous Agents Approach to Image Feature Extraction

Modified Evolutionary Autonomous Agents Approach to Image Feature Extraction

... Analysis of the above experiment gave the following graph shown in Figure 4. Agent Frequency graph is a plot of number of agents to the time value. We can clearly see the huge difference between the three curves. ...

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Autonomous agent behaviour modelled in PRISM    a case study

Autonomous agent behaviour modelled in PRISM a case study

... Previous work in which model checking is used to verify autonomy includes [3] in which the decision making process is verified in isolation, while our aim is to integrate this process with the autonomous ...

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Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation

Decision Making Method Using Fuzzy Logic for Autonomous Agent Navigation

... autonomous agent navigation in unknown virtual ...the autonomous virtual agent had successfully navigated various virtual ...virtual agent required less decision making which means more ...

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Strategies for an Autonomous Agent Playing the “Werewolf game” as a Stealth Werewolf

Strategies for an Autonomous Agent Playing the “Werewolf game” as a Stealth Werewolf

... an agent, and would like to clarify important factors for the stealth ...an agent can talk and mislead villagers without attracting attention from other players, it is a strong stealth ...

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Unifying Agent Systems

Unifying Agent Systems

... an agent owns another entity, if, for whatever the reason, that entity can be used for any action within its capabilities whenever the agent requires ...truly autonomous agent will have its ...

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The Effects of Multiple Gratitude Interventions Among Informal Caregivers of Persons with Dementia and Alzheimer's Disease

The Effects of Multiple Gratitude Interventions Among Informal Caregivers of Persons with Dementia and Alzheimer's Disease

... an autonomous software entities that can act on the behalf of his principle, sometimes a human in a sociotechnical system, based on his knowledge and ...an agent a good representative of a ...an ...

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Modelling and Implementation of an Artificial Economy through JaCaMo

Modelling and Implementation of an Artificial Economy through JaCaMo

... as autonomous and the result of their interactions can be computed ...programmed, autonomous and human-like ...rules. Autonomous agents should have a certain freedom level to explore the environment ...

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Application of definitive scripts to computer aided conceptual design

Application of definitive scripts to computer aided conceptual design

... It provides a tool whereby computer models of systems can be originated that have state and on which state change can be made, not only by the designer but also by other autonomous agent[r] ...

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Distributed patient scheduling in hospitals

Distributed patient scheduling in hospitals

... several autonomous wards and ancillary ...an agent based approach in which the patients and hospital resources are mod- elled as autonomous agents with their own goals, reflecting the decentralised ...

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INTERNET OF THINGS (IoT): APPLICATIONS AND RESEARCH DIRECTION

INTERNET OF THINGS (IoT): APPLICATIONS AND RESEARCH DIRECTION

... to work on devices which have different architecture (3)data sharing between various services(4) propagation (5)autonomous agent (6)human machine interaction (7)self [r] ...

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Practical applications of multi-agent systems in electric power systems

Practical applications of multi-agent systems in electric power systems

... the agent architecture was radically re- designed. Five different agent roles were defined: data provider, service provider, data director, archive, and interface ...

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SouthamptonTAC: An adaptive autonomous trading agent

SouthamptonTAC: An adaptive autonomous trading agent

... an agent submits a new bid, two conditions must be satisfied for it to be accepted: (i) it must offer to buy at least one unit at a price of a + 1 or greater; (ii) if the agent’s current bid would have resulted in ...

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A Review on Deep Reinforcement Learning Induced Autonomous Driving Framework

A Review on Deep Reinforcement Learning Induced Autonomous Driving Framework

... the autonomous driving system thus reduces the memory requirements and computation complexity which are considered to be the critical parameters of the embedded system that will deploy the autonomous ...

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Agent based control systems

Agent based control systems

... systems. Agent-oriented systems are evolutionary and incremental, as legacy (nonagent) software can be incorporated in a rel- atively straightforward manner (see the electricity trans- portation case ...an ...

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Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment

Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment

... Using a neural network as a function approximator for the Q-values has shown unstable behaviour and might lead to divergence [13]. One step for overcoming this problem is to use experience replay [14] in which the ...

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DESIGN AND IMPLEMENTATION OF MULTI AGENT SYSTEM IN IDAPS MICRO GRID FOR OPTIMAL LOAD SCHEDULING NETWORK

DESIGN AND IMPLEMENTATION OF MULTI AGENT SYSTEM IN IDAPS MICRO GRID FOR OPTIMAL LOAD SCHEDULING NETWORK

... control agent detects the fault, and informs to load agent and DER ...Control agent provides control signal to main circuit breaker to isolate the main grid, and coordinates with load and DER agents ...

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MULTI AGENT SYSTEM DESIGN FOR AUTOMATED DOCKING OF SEMI TRAILERS BY MEANS OF AUTONOMOUS VEHICLES

MULTI AGENT SYSTEM DESIGN FOR AUTOMATED DOCKING OF SEMI TRAILERS BY MEANS OF AUTONOMOUS VEHICLES

... Building multi-agent systems (MASs) is a complicate and iterative process. Large-scale systems can contain agents in the hundreds operating at real-runtime, perceiving, communicating, negotiating, decision-making ...

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Public Management & Complexity Theory: Richer Decision Making in Irish Public Services

Public Management & Complexity Theory: Richer Decision Making in Irish Public Services

... of agent participation within and across ...for agent types defi ned both by their legal status (public, private, non-profi t or community organizations) and their profession/function ...of agent ...

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Reconfigurable Autonomy

Reconfigurable Autonomy

... Rational Agent? But the ‘agent’ concept is still not enough! Systems controlled by neural net- works, genetic algorithms, control systems, etc, can act autonomously yet, as we suggested above, the reasons ...

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Co operative Cluster based Multi Agent Approach for Efficient Traffic Forecasting and Management in VANET

Co operative Cluster based Multi Agent Approach for Efficient Traffic Forecasting and Management in VANET

... multi agent systems an effective routing is implemented that reduces network traffic while transmitting information’s among the ...Service Agent plays a vital role for transmitting the critical information ...

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