CptS 440 / 540 Artificial Intelligence
... human lightbulb-changing behavior One to call the Lisp hackers ...
... human lightbulb-changing behavior One to call the Lisp hackers ...
- CRISP Repository
... reasoning logically about medical dilemmas from moral principles to deterministic outcomes in Searle’s sense can only become humanoid if there is a trade-off with affective decisions, which by definition are intentional. The man in the Chinese Room should be capable of laughter and crying. In Pontie ...
... reasoning logically about medical dilemmas from moral principles to deterministic outcomes in Searle’s sense can only become humanoid if there is a trade-off with affective decisions, which by definition are intentional. The man in the Chinese Room should be capable of laughter and crying. In Pontie ...
white paper from the Workshop on Development and Learning.
... representation that is specific to the functions of the area. However, recent advances in brain plasticity have begun to reveal a very different picture of brain development. For example, researchers at MIT [2] have discovered that if the optic nerves originating from the eyes is rewired into the au ...
... representation that is specific to the functions of the area. However, recent advances in brain plasticity have begun to reveal a very different picture of brain development. For example, researchers at MIT [2] have discovered that if the optic nerves originating from the eyes is rewired into the au ...
paradigms - Robot Intelligence Technology Lab
... • Engineering approaches focus on how to execute an action, AI approaches focus on why to perform the action at that particular time. • Control Theory and AI is currently pretty good with “low level” or “muscle” intelligence • AI can outperform humans in planning, optimization, etc. • AI isn’t good ...
... • Engineering approaches focus on how to execute an action, AI approaches focus on why to perform the action at that particular time. • Control Theory and AI is currently pretty good with “low level” or “muscle” intelligence • AI can outperform humans in planning, optimization, etc. • AI isn’t good ...
Robotic tool use and problem solving based on
... during development through sensorimotor experience: i.e. interacting with objects while perceiving salient events. An appealing concept to represent this sensorimotor knowledge has been proposed in psychology under the name of object affordances: action possibilities that an object offers to an agen ...
... during development through sensorimotor experience: i.e. interacting with objects while perceiving salient events. An appealing concept to represent this sensorimotor knowledge has been proposed in psychology under the name of object affordances: action possibilities that an object offers to an agen ...
Learning from Observations
... • Behaviours w hich result from the interact ion betw een the agent function and the environment can be termed emergent behaviours. • Some particularly int eresting emergent behav iours occu r w hen several agents are placed in the same environment. – The act ions of each individu al agent changes t ...
... • Behaviours w hich result from the interact ion betw een the agent function and the environment can be termed emergent behaviours. • Some particularly int eresting emergent behav iours occu r w hen several agents are placed in the same environment. – The act ions of each individu al agent changes t ...
word office version - European Parliament
... omissions that cause damage to third parties; whereas the existing rules on liability cover cases where the cause of the robot’s act or omission can be traced back to a specific human agent such as the manufacturer, the operator, the owner or the user and where that agent could have foreseen and avo ...
... omissions that cause damage to third parties; whereas the existing rules on liability cover cases where the cause of the robot’s act or omission can be traced back to a specific human agent such as the manufacturer, the operator, the owner or the user and where that agent could have foreseen and avo ...
www.cs.ubc.ca
... a logic program specifying how the output at any time is implied by current and previous inputs. The causality ensures that we have acyclic rules. 2. The logic programs are axiomatised in phase space [Dean and Wellman, 1991] (the product of space and time, i.e., the predicates refer to times as part ...
... a logic program specifying how the output at any time is implied by current and previous inputs. The causality ensures that we have acyclic rules. 2. The logic programs are axiomatised in phase space [Dean and Wellman, 1991] (the product of space and time, i.e., the predicates refer to times as part ...
MS Powerpoint
... • Allen: oldest, sonar-based navigation • Tom and Jerry: I/R proximity sensors on small toy car • Genghis and Attila: 6-legged hexapods, autonomous walking • Squirt: 2 oz robot responding to light • Toto: map-construction robot, first to use Behaviour Language • Seymour: visual, motion tracking robo ...
... • Allen: oldest, sonar-based navigation • Tom and Jerry: I/R proximity sensors on small toy car • Genghis and Attila: 6-legged hexapods, autonomous walking • Squirt: 2 oz robot responding to light • Toto: map-construction robot, first to use Behaviour Language • Seymour: visual, motion tracking robo ...
Neural-Body Coupling for Emergent Locomotion: A Musculoskeletal
... redundant structural morphology with nonlinear materials for visco-elastic muscle-tendon tissues, and it has no sensors or actuators to directly sense and control its joints [10]. Thus these robots are difficult to explain the role of the body as musculoskeletal system for locomotion behaviors. On t ...
... redundant structural morphology with nonlinear materials for visco-elastic muscle-tendon tissues, and it has no sensors or actuators to directly sense and control its joints [10]. Thus these robots are difficult to explain the role of the body as musculoskeletal system for locomotion behaviors. On t ...
introduction - WordPress.com
... Using human-like robots to train autistic children is a growing research field which uses the techniques and teaching approaches developed using the Applied Behavior Analyses (ABA) to develop behavioral interventions to improve socialization and communication skills (Barakova, & Lourens, 2003). It i ...
... Using human-like robots to train autistic children is a growing research field which uses the techniques and teaching approaches developed using the Applied Behavior Analyses (ABA) to develop behavioral interventions to improve socialization and communication skills (Barakova, & Lourens, 2003). It i ...
An Associator Network Approach to Robot Learning by Imitation
... up the learning process [22]. Many forms of elaborate behaviour such as social interaction and tool manipulation are learnt by one generation through the imitation of the previous generation [18]. As a result of the role played by imitation learning in animal and human development there has been a g ...
... up the learning process [22]. Many forms of elaborate behaviour such as social interaction and tool manipulation are learnt by one generation through the imitation of the previous generation [18]. As a result of the role played by imitation learning in animal and human development there has been a g ...
ILO Background
... between natural intelligence and artificial. In the United States of America, the scientist John Von Neumann continued the work of Turing by modifying the essence of the project and focusing on the idea that computerized intelligence had to be similar to the human's brain, Von Neumann was the first ...
... between natural intelligence and artificial. In the United States of America, the scientist John Von Neumann continued the work of Turing by modifying the essence of the project and focusing on the idea that computerized intelligence had to be similar to the human's brain, Von Neumann was the first ...
Cognitive Robotics - Knowledge
... We take this idea of knowledge representation and reasoning for the purpose of high-level robotic control to be central to cognitive robotics [75]. This connects cognitive robotics not only to (traditional, less cognitive) robotics but also, as discussed later, to other areas of AI such as planning ...
... We take this idea of knowledge representation and reasoning for the purpose of high-level robotic control to be central to cognitive robotics [75]. This connects cognitive robotics not only to (traditional, less cognitive) robotics but also, as discussed later, to other areas of AI such as planning ...
Artificial Intelligence and Responsible Innovation Miles Brundage
... substituting the strengths of human intelligence with computers, orienting research towards the longterm goal of human-centered computing will yield better social outcomes than work towards traditional conceptions of AI. Others (e.g., Nilsson 2005) call for a greater focus on developing integrated i ...
... substituting the strengths of human intelligence with computers, orienting research towards the longterm goal of human-centered computing will yield better social outcomes than work towards traditional conceptions of AI. Others (e.g., Nilsson 2005) call for a greater focus on developing integrated i ...
AAAI Proceedings Template - Electronics and Computer Science
... distinguishes us from today's man-made robots is not that we are not robots -- a “robot” is simply an autonomous sensorimotor system with certain performance capacities -- but that we happen to be robots with performance capacities that vastly exceed those of any robot built by us so far. And a furt ...
... distinguishes us from today's man-made robots is not that we are not robots -- a “robot” is simply an autonomous sensorimotor system with certain performance capacities -- but that we happen to be robots with performance capacities that vastly exceed those of any robot built by us so far. And a furt ...
Affective computing and HRI (HCI2007) 2x45min lecture
... Interactive Robot Learning: a special case of HRI • Goals Human Robot Interaction: – Develop more natural and effective ways of interacting between robots and humans. – Allow non-expert interaction. – Allow flexibility of robot behavior. ...
... Interactive Robot Learning: a special case of HRI • Goals Human Robot Interaction: – Develop more natural and effective ways of interacting between robots and humans. – Allow non-expert interaction. – Allow flexibility of robot behavior. ...
Mobile Robot Localization and Navigation in Artificial Intelligence
... Mobile robotics is a motivating area for use of artificial intelligence (AI), as it is a domain in which huge bodies of knowledge are needed to enable tasks like intelligent navigation in a large or complex facility while there at the same time is a need for real-time response to external events[32] ...
... Mobile robotics is a motivating area for use of artificial intelligence (AI), as it is a domain in which huge bodies of knowledge are needed to enable tasks like intelligent navigation in a large or complex facility while there at the same time is a need for real-time response to external events[32] ...
A Robotic Ecosystem with Evolvable Minds and Bodies
... To date there are no robotic systems where robots physically reproduce and create children with variation and heredity. There are systems with reproducing artificial creatures in simulation following the approach of [15], [7], but these are not physical, positioned in simple artificial environments, ...
... To date there are no robotic systems where robots physically reproduce and create children with variation and heredity. There are systems with reproducing artificial creatures in simulation following the approach of [15], [7], but these are not physical, positioned in simple artificial environments, ...
Architectures for Robot Control
... defining the parts of the problem that are unsolved as not AI. The principal mechanism for this partitioning is abstraction ... In AI, abstraction is usually used to factor out all aspects of perception and motor skills. I argue below that these are the hard problems solved by intelligent systems, a ...
... defining the parts of the problem that are unsolved as not AI. The principal mechanism for this partitioning is abstraction ... In AI, abstraction is usually used to factor out all aspects of perception and motor skills. I argue below that these are the hard problems solved by intelligent systems, a ...
Stefanie Anne Tellex - Researchers @ Brown
... Spatial Routines June, 2004 – August, 2006 Developed a speech interface to a real-time strategy game. Developed a mechanism for grounding spatial prepositions in terms of spatial routines (a set of compositional operators on sensor data). Research Assistant September 2001–May 2003 Created Pauchok, a ...
... Spatial Routines June, 2004 – August, 2006 Developed a speech interface to a real-time strategy game. Developed a mechanism for grounding spatial prepositions in terms of spatial routines (a set of compositional operators on sensor data). Research Assistant September 2001–May 2003 Created Pauchok, a ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
... It can sense environment, and manipulate or interact with things int it. It has some ability to make choices based on the environment, often using automatic control or a pre–programmed sequence. It is programmable. It moves with one or more axes of rotation or translation It makes dexterous coordina ...
... It can sense environment, and manipulate or interact with things int it. It has some ability to make choices based on the environment, often using automatic control or a pre–programmed sequence. It is programmable. It moves with one or more axes of rotation or translation It makes dexterous coordina ...
Evolved Flocking
... The prey have sensors for: • Average nearby prey position (close) • Average nearby prey position (far) • Average nearby prey velocity • Average nearby obstacle location • Average nearby predator location These vectors are added together (multiplied by genetically determined weights) to give the prey ...
... The prey have sensors for: • Average nearby prey position (close) • Average nearby prey position (far) • Average nearby prey velocity • Average nearby obstacle location • Average nearby predator location These vectors are added together (multiplied by genetically determined weights) to give the prey ...
Exploring coordination properties within populations of distributed agents Elizabeth Sklar
... In the non-embodied multiagent systems (MAS) world, researchers are primarily concerned with understanding theoretically how systems might best coordinate, and they design simulated systems and mechanisms that approximate (or ignore) the physical world in order to demonstrate, test and evaluate theo ...
... In the non-embodied multiagent systems (MAS) world, researchers are primarily concerned with understanding theoretically how systems might best coordinate, and they design simulated systems and mechanisms that approximate (or ignore) the physical world in order to demonstrate, test and evaluate theo ...
Robotics
Robotics is the branch of mechanical engineering, electrical engineering, electronic engineering and computer science that deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback, and information processing.These technologies deal with automated machines that can take the place of humans in dangerous environments or manufacturing processes, or resemble humans in appearance, behavior, and/or cognition. Many of today's robots are inspired by nature contributing to the field of bio-inspired robotics.The concept of creating machines that can operate autonomously dates back to classical times, but research into the functionality and potential uses of robots did not grow substantially until the 20th century. Throughout history, it has been frequently assumed that robots will one day be able to mimic human behavior and manage tasks in a human-like fashion. Today, robotics is a rapidly growing field, as technological advances continue; researching, designing, and building new robots serve various practical purposes, whether domestically, commercially, or militarily. Many robots do jobs that are hazardous to people such as defusing bombs, mines and exploring shipwrecks.