Mind over machine: the power of human intuition and expertise in the era of the computer
Mind over machine: the power of human intuition and expertise in the era of the computer
Intelligence without representation
Artificial Intelligence
Associative engines: connectionism, concepts, and representational change
Associative engines: connectionism, concepts, and representational change
Reinforcement learning with hidden states
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Integrating reactive, sequential, and learning behavior using dynamical neural networks
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Imagination and situated cognition
Android epistemology
Towards planning: incremental investigations into adaptive robot control
Towards planning: incremental investigations into adaptive robot control
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Connectionist Learning in Behaviour-Based Mobile Robots: A Survey
Artificial Intelligence Review
An incremental approach to developing intelligent neural networkcontrollers for robots
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning long-term dependencies in NARX recurrent neural networks
IEEE Transactions on Neural Networks
The road sign problem revisited: handling delayed response tasks with neural robot controllers
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Neural Processing Letters
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
How to promote generalisation in evolutionary robotics: the ProGAb approach
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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This paper identifies a problem of significance for approaches to adaptive autonomous agent research seeking to go beyond reactive behaviour without resorting to hybrid solutions. The feasibility of recurrent neural network solutions are discussed and compared in the light of experiments designed to test ability to handle long-term temporal dependencies, in a more situated context than hitherto. It is concluded that a general-purpose recurrent network with some processing enhancements can begin to fulfil the requirements of this non-trivial problem.