Readings in uncertain reasoning
Readings in uncertain reasoning
The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
The role of emotion in believable agents
Communications of the ACM
Case-based reasoning
Artificial intelligence: a modern approach
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Quantitative evaluation of the exploration strategies of a mobile robot
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
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Communications of the ACM
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Frontier-based exploration using multiple robots
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Exploration in active learning
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Cooperative Autonomous Low-Cost Robots for exploring Unknown Environments
The 4th International Symposium on Experimental Robotics IV
Coordination for Multi-Robot Exploration and Mapping
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Collaborative Exploration of Unknown Environments with Teams of Mobile Robots
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Emotional advantage for adaptability and autonomy
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Learning hierarchical object maps of non-stationary environments with mobile robots
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Agents with Anticipatory Behaviors: To be Cautious in a Risky Environment
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Surprise as shortcut for anticipation: clustering mental states in reasoning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The practical advantage of surprise-based agents
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Selecting Information based on Artificial Forms of Selective Attention
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Algorithms for scaling in a general episodic memory
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International Journal of Agent Technologies and Systems
Curiosity: From psychology to computation
ACM Computing Surveys (CSUR)
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This paper addresses the problem of exploring unknown, dynamic environments with motivational agents. The goal is the acquisition of a model of the environment including models of the entities that populate the environment. We describe the exploration strategy of both single and multiple agents. Each agent performs directed exploration using an action selection method based on the maximization of the intensity of positive feelings and minimization of negative ones. The exploration strategy for multiple agents relies on considering a team leader that integrates the maps and coordinates the actions of the members of the team. We present and discuss the results of an experiment conducted in simulated environments.