Note 1: introduction
... • Minsky – a number of micro world projects that require intelligence – Blocks world – rearrange blocks In a certain way, using a robot hand that can pick up one block at a time ...
... • Minsky – a number of micro world projects that require intelligence – Blocks world – rearrange blocks In a certain way, using a robot hand that can pick up one block at a time ...
What are Expert Systems?
... • Programmer does not specify how to achieve a goal at the algorithm level. • Induction-based programming – the program learns by generalizing from a sample. ...
... • Programmer does not specify how to achieve a goal at the algorithm level. • Induction-based programming – the program learns by generalizing from a sample. ...
Intelligent Agents - University of Washington
... • In future chapters, we will see how different environment types will require potentially completely different implementations (e.g., search, temporal aspects, computational demands, etc.) • Environment types also effects scalability: This is crucial, in the 1950s AI researchers assumed that algori ...
... • In future chapters, we will see how different environment types will require potentially completely different implementations (e.g., search, temporal aspects, computational demands, etc.) • Environment types also effects scalability: This is crucial, in the 1950s AI researchers assumed that algori ...
Reinforcement Learning and the Reward
... that human operators cannot effectively respond to.4 When operators are not always able to determine an agent’s rewards, then (as we later show formally) dominance relationships can arise between action policies for that agent. Policy A dominates policy B if no allowed assignment of rewards (as dete ...
... that human operators cannot effectively respond to.4 When operators are not always able to determine an agent’s rewards, then (as we later show formally) dominance relationships can arise between action policies for that agent. Policy A dominates policy B if no allowed assignment of rewards (as dete ...
Claims and Challenges in Evaluating Human
... One of the first steps in determining how to evaluate research in a field is to develop a crisp definition its goals, and if possible, what the requirements are for achieving those goals. Legg and Hutter (2007) review a wide variety of informal and formal definitions and tests of intelligence. Unfor ...
... One of the first steps in determining how to evaluate research in a field is to develop a crisp definition its goals, and if possible, what the requirements are for achieving those goals. Legg and Hutter (2007) review a wide variety of informal and formal definitions and tests of intelligence. Unfor ...
Acta polytechnica Hungarica - Volume 4, Issue No. 1 (2007.)
... makes it possible to put together objects whose state shares some common properties. For instance, if ‘Human Being’ refers to a concept, ‘Teenagers’ refers to a set composed of human beings whose age is in given constraints. Differences are elementary units from which the meaning of terms is built. ...
... makes it possible to put together objects whose state shares some common properties. For instance, if ‘Human Being’ refers to a concept, ‘Teenagers’ refers to a set composed of human beings whose age is in given constraints. Differences are elementary units from which the meaning of terms is built. ...
Case-based Reasoning in Agent-based Decision Support System
... makes it possible to put together objects whose state shares some common properties. For instance, if ‘Human Being’ refers to a concept, ‘Teenagers’ refers to a set composed of human beings whose age is in given constraints. Differences are elementary units from which the meaning of terms is built. ...
... makes it possible to put together objects whose state shares some common properties. For instance, if ‘Human Being’ refers to a concept, ‘Teenagers’ refers to a set composed of human beings whose age is in given constraints. Differences are elementary units from which the meaning of terms is built. ...
View PDF - Advances in Cognitive Systems
... The components of cognitive systems depend intimately on each other to produce behavior. An advanced cognitive system must integrate components rather than merely combine them. By this, we mean that there is significant interaction among components, which impacts their design. Such systems must also ...
... The components of cognitive systems depend intimately on each other to produce behavior. An advanced cognitive system must integrate components rather than merely combine them. By this, we mean that there is significant interaction among components, which impacts their design. Such systems must also ...
A Medical Diagnosis System based on MAS Technology and Neural
... as part of a learning process, can cause serious problems since it can easily happen that the overall semantics and behavior of the rule base gets out of control. Moreover, the extension to different or new areas of diagnosis is everything but straightforward. It easily exhibits the limitations of t ...
... as part of a learning process, can cause serious problems since it can easily happen that the overall semantics and behavior of the rule base gets out of control. Moreover, the extension to different or new areas of diagnosis is everything but straightforward. It easily exhibits the limitations of t ...
Machine Ethics, the Frame Problem, and Theory of Mind
... Communication with the robot by the operator is conducted via natural language in the soda can domain. As such, the tower-destroying robot needs the ability to update its own beliefs appropriately after hearing an utterance. Human-like natural language competencies are not trivial to build into the ...
... Communication with the robot by the operator is conducted via natural language in the soda can domain. As such, the tower-destroying robot needs the ability to update its own beliefs appropriately after hearing an utterance. Human-like natural language competencies are not trivial to build into the ...
A Planning Graph Heuristic for Forward-Chaining
... Graph Analysis’, in Proc. of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI’95), pp. 1636–1642, (1995). [3] Blai Bonet and Héctor Geffner, ‘Planning as Heuristic Search’, Artificial Intelligence, 129(1-2), 5–33, (2001). [4] Daniel Bryce, Subbarao Kambhampati, and Da ...
... Graph Analysis’, in Proc. of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI’95), pp. 1636–1642, (1995). [3] Blai Bonet and Héctor Geffner, ‘Planning as Heuristic Search’, Artificial Intelligence, 129(1-2), 5–33, (2001). [4] Daniel Bryce, Subbarao Kambhampati, and Da ...
Reinforcement Learning and the Reward Engineering Principle
... more reliable, perhaps even removing a human from the loop altogether and giving rewards via an automatic mechanism. Call this type of effort reward engineering; the reinforcement learning agent’s goal is not being changed, but the environment is being partially designed so that reward maximization ...
... more reliable, perhaps even removing a human from the loop altogether and giving rewards via an automatic mechanism. Call this type of effort reward engineering; the reinforcement learning agent’s goal is not being changed, but the environment is being partially designed so that reward maximization ...
Lecture_1 - Recherche : Service web
... 2. A set of objects, O. These objects are situated, that is to say, it is possible at a given moment to associate any object with a position in E. 3. An assembly of agents, A, which are specific objects (a subset of O), represent the active entities in the system. 4. An assembly of relations, R, whi ...
... 2. A set of objects, O. These objects are situated, that is to say, it is possible at a given moment to associate any object with a position in E. 3. An assembly of agents, A, which are specific objects (a subset of O), represent the active entities in the system. 4. An assembly of relations, R, whi ...
The Learning Intelligent Distribution Agent (LIDA)
... view toward implementation. We present a brief summary of the modules here; for a more complete discussion, see [9]. The LIDA Model contends that human cognition can be viewed as continuing sequences of potentially overlapping2 “cognitive cycles” within which understanding, attending, and action sel ...
... view toward implementation. We present a brief summary of the modules here; for a more complete discussion, see [9]. The LIDA Model contends that human cognition can be viewed as continuing sequences of potentially overlapping2 “cognitive cycles” within which understanding, attending, and action sel ...
Distributed case-based reasoning
... cooperative agents whereby individual agents are responsible for a particular sub-part of the design task. Agents cooperate to resolve design conflicts as each new design is constructed from the contribution of the distributed agents. However, the negotiated retrieval approach assumes that groups of ...
... cooperative agents whereby individual agents are responsible for a particular sub-part of the design task. Agents cooperate to resolve design conflicts as each new design is constructed from the contribution of the distributed agents. However, the negotiated retrieval approach assumes that groups of ...
Hypernetworks: A Molecular Evolutionary Architecture for Cognitive
... decision making, and efficient memory storage and retrieval [57]. When the agent is tightly coupled to the world, decision making and action can take place within the context established by the sensory data from the environment, taking some of the memory and computational burden off the agent. The h ...
... decision making, and efficient memory storage and retrieval [57]. When the agent is tightly coupled to the world, decision making and action can take place within the context established by the sensory data from the environment, taking some of the memory and computational burden off the agent. The h ...
Ordered Task Decomposition 1 - Information Sciences Institute
... capabilities of ordered task decomposition Explicit parameterizable contingency plans using a game-tree model Hierarchical template memory, multiple indexing, retrieval by partial matching ...
... capabilities of ordered task decomposition Explicit parameterizable contingency plans using a game-tree model Hierarchical template memory, multiple indexing, retrieval by partial matching ...
Is Distributed Connectionism Compatible with the Physical Symbol
... conviction that cognition is computation, artificial intelligence researchers are investigating computational models as a means of discovering properties shared by all intelligent systems. One property that has been proposed as central to intelligence is the ability to construct and manipulate symbo ...
... conviction that cognition is computation, artificial intelligence researchers are investigating computational models as a means of discovering properties shared by all intelligent systems. One property that has been proposed as central to intelligence is the ability to construct and manipulate symbo ...
Intelligent Agents
... • Add utility evaluation: not only how close does the action take me to the goal, but also how useful it is for the agent • Note: both goal and utility-based agents can plan with constructs other than rules • Other aspects to be considered: – uncertainty in perceptions and actions – incomplete knowl ...
... • Add utility evaluation: not only how close does the action take me to the goal, but also how useful it is for the agent • Note: both goal and utility-based agents can plan with constructs other than rules • Other aspects to be considered: – uncertainty in perceptions and actions – incomplete knowl ...
PDF
... The idea of learning cause-effects is based on Piaget's theory of cognitive development [4] which claims that children gradually acquire knowledge of cause-effect relations by repeatedly executing processes and sequencing actions to reach goals. As we will see, action rules are created using learned ...
... The idea of learning cause-effects is based on Piaget's theory of cognitive development [4] which claims that children gradually acquire knowledge of cause-effect relations by repeatedly executing processes and sequencing actions to reach goals. As we will see, action rules are created using learned ...
as a PDF
... In the visual servoing task, BECCA demonstrated its ability to achieve better than random performance on an RL task with a 58-dimensional observationaction space, about which it had no prior knowledge. The visual servoing task was trivial and has many straightforward solutions that incorporate some ...
... In the visual servoing task, BECCA demonstrated its ability to achieve better than random performance on an RL task with a 58-dimensional observationaction space, about which it had no prior knowledge. The visual servoing task was trivial and has many straightforward solutions that incorporate some ...
Commonsense Reasoning - NYU Computer Science
... port. The laws that govern these systems are component characteristics, which constrain the values of the parameters at the ports of the component, and connection characteristics, which constrain the values of parameters at ports that meet in a connection. For example, in electronics, the component ...
... port. The laws that govern these systems are component characteristics, which constrain the values of the parameters at the ports of the component, and connection characteristics, which constrain the values of parameters at ports that meet in a connection. For example, in electronics, the component ...
Artificial Intelligence and Decision Systems Course notes
... or not without a shadow of doubt. Rather, the best we can do is to characterize intelligence as a set of capabilities or skills that intelligent beings possess. These capabilities include problem-solving, reasoning, decision-making, learning, memory, language, and emotions. This is not an exhaustive ...
... or not without a shadow of doubt. Rather, the best we can do is to characterize intelligence as a set of capabilities or skills that intelligent beings possess. These capabilities include problem-solving, reasoning, decision-making, learning, memory, language, and emotions. This is not an exhaustive ...
AAAI Proceedings Template
... important, high level issues about, for example, architecture, representation, function and real world use. To be successful, the CAC will have to create a community of researchers, developers, managers, and users, of Cognitive Architecture-based systems. The development of the CAC by its competitio ...
... important, high level issues about, for example, architecture, representation, function and real world use. To be successful, the CAC will have to create a community of researchers, developers, managers, and users, of Cognitive Architecture-based systems. The development of the CAC by its competitio ...
On Agents and Grids: Creating the Fabric for a New Generation of
... solving of the kind performed by multi-agent systems. Robustness is challenging when heterogeneous collections of components need to be coordinated in a highly dynamic non-centralized execution environment. These are the environments that grids were designed to address. Reliability, quality of servi ...
... solving of the kind performed by multi-agent systems. Robustness is challenging when heterogeneous collections of components need to be coordinated in a highly dynamic non-centralized execution environment. These are the environments that grids were designed to address. Reliability, quality of servi ...
Soar (cognitive architecture)
Soar is a cognitive architecture, created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University, now maintained by John Laird's research group at the University of Michigan. It is both a view of what cognition is and an implementation of that view through a computer programming architecture for artificial intelligence (AI). Since its beginnings in 1983 and its presentation in a paper in 1987, it has been widely used by AI researchers to model different aspects of human behavior.