The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the Environment.
Giacomo IndiveriYulia SandamirskayaPublished in: IEEE Signal Process. Mag. (2019)
Keyphrases
- autonomous agents
- low power
- signal processing
- dynamic environments
- low cost
- power consumption
- high speed
- multi agent systems
- digital signal processing
- multi agent
- multiagent systems
- changing environment
- complex environments
- agent behavior
- incomplete information
- multi agent environments
- single chip
- signal processor
- distributed control
- resource bounded
- heterogeneous agents
- coalition formation
- agent negotiation
- open systems
- control architecture
- vlsi circuits
- mental states
- rational agents
- vlsi architecture
- intelligent behavior
- learning agents
- coordination mechanisms
- real time
- low power consumption
- multi issue
- cooperative
- power reduction
- agent interactions
- mobile robot
- virtual humans
- mixed signal
- bdi agents
- logic circuits
- power dissipation
- multi channel
- pattern recognition
- image processing