ppt
... When we consciously use such processes, we are said to be using metacognitive processes (‘meta’ = ‘above’) In contrast to metacognitive processes… ...
... When we consciously use such processes, we are said to be using metacognitive processes (‘meta’ = ‘above’) In contrast to metacognitive processes… ...
Publication : An introduction to Soar as an agent architecture
... The Soar architecture grew out of the study of human problem solving. Soar is often used as a tool for the creation of fine-grained cognitive models that detail and predict aspects of human behavior in the performance of a task. (Newell, 1990) has taken this effort as far as proposing Soar as a cand ...
... The Soar architecture grew out of the study of human problem solving. Soar is often used as a tool for the creation of fine-grained cognitive models that detail and predict aspects of human behavior in the performance of a task. (Newell, 1990) has taken this effort as far as proposing Soar as a cand ...
A Framework for the Implementation of Artificial Robotic
... the environment. Every action is the result of the Action Selection process computed by the deliberative module. Another important issue in cognitive systems is the knowledge representation. The information to be stored for later processing represents information about the environment and about the ...
... the environment. Every action is the result of the Action Selection process computed by the deliberative module. Another important issue in cognitive systems is the knowledge representation. The information to be stored for later processing represents information about the environment and about the ...
Memory Definitions
... Aware of problem at time & could remedy it. Failure is significant if the recall is urgent Failure is irritating if information is trivial ...
... Aware of problem at time & could remedy it. Failure is significant if the recall is urgent Failure is irritating if information is trivial ...
The Experiment - Artificial Life Research – Czech Technical University
... systems. Resulting systems are able to act in a very complex and dynamic environment and can incorporate various levels of intelligence. They are able to act in very different domains with small changes. They evoke the seeming of life, but they are a form of artificial life only. The implementation ...
... systems. Resulting systems are able to act in a very complex and dynamic environment and can incorporate various levels of intelligence. They are able to act in very different domains with small changes. They evoke the seeming of life, but they are a form of artificial life only. The implementation ...
Situated Comprehension of Imperative Sentences in Embodied
... Procedural Memory Behaviors and actions in Soar are represented as production rules in procedural memory. Whenever a conditions match the contents of working memory, the rule fires changing the state of the working memory. An operator is the unit of deliberation in Soar which when applied changes th ...
... Procedural Memory Behaviors and actions in Soar are represented as production rules in procedural memory. Whenever a conditions match the contents of working memory, the rule fires changing the state of the working memory. An operator is the unit of deliberation in Soar which when applied changes th ...
Chapter 1 Powerpoints - People Server at UNCW
... 8. The use of meta-level knowledge to effect more sophisticated control of problem solving strategies. Although this is a very difficult problem, addressed in relatively few current systems, it is emerging as an essential area of research. ...
... 8. The use of meta-level knowledge to effect more sophisticated control of problem solving strategies. Although this is a very difficult problem, addressed in relatively few current systems, it is emerging as an essential area of research. ...
Slide 1
... utility, decision theory physical substrate for mental activity phenomena of perception and motor control, experimental techniques building fast computers design systems that maximize an objective function over time knowledge representation, grammar ...
... utility, decision theory physical substrate for mental activity phenomena of perception and motor control, experimental techniques building fast computers design systems that maximize an objective function over time knowledge representation, grammar ...
Introduction: Chapter 1 - Information Technology and Computer
... utility, decision theory physical substrate for mental activity phenomena of perception and motor control, experimental techniques building fast computers design systems that maximize an objective function over time knowledge representation, grammar ...
... utility, decision theory physical substrate for mental activity phenomena of perception and motor control, experimental techniques building fast computers design systems that maximize an objective function over time knowledge representation, grammar ...
A preliminary analysis of the Soar architecture as a basis for general
... Each production is a condition-action structure that performs its actions when its conditions are met. Memory access consists of the execution of these productions. During the execution of a production, variables in its actions are instantiated with values. Action variables that existed in the condi ...
... Each production is a condition-action structure that performs its actions when its conditions are met. Memory access consists of the execution of these productions. During the execution of a production, variables in its actions are instantiated with values. Action variables that existed in the condi ...
A Believable Agent for First-Person Shooter Games
... we took a more qualitative approach to evaluation. We ran the agent on a variety scenarios that involved different levels of problem difficulty. Each scenario had the same goal of defusing an IED, but involved different obstacle types, obstacle configurations, and device locations. The agent learned ...
... we took a more qualitative approach to evaluation. We ran the agent on a variety scenarios that involved different levels of problem difficulty. Each scenario had the same goal of defusing an IED, but involved different obstacle types, obstacle configurations, and device locations. The agent learned ...
A Believable Agent for First-Person Shooter Games
... The popularity of first-person shooter games has motivated developers to make them more realistic than ever before, which requires more believable computer-controlled agents. Until recently, however, they have been either too restricted or too informed to be believable. There have been some efforts ...
... The popularity of first-person shooter games has motivated developers to make them more realistic than ever before, which requires more believable computer-controlled agents. Until recently, however, they have been either too restricted or too informed to be believable. There have been some efforts ...
A PhD RESEARCH TOPIC PROPOSAL PRESENTED BY NWEKE
... closely related to the OpenCog framework (Hart 2008), which is an open source software development framework intended for implementation of AI systems providing common knowledge representation schemes, process scheduling and I/O systems across different AI technologies running simultaneously. ...
... closely related to the OpenCog framework (Hart 2008), which is an open source software development framework intended for implementation of AI systems providing common knowledge representation schemes, process scheduling and I/O systems across different AI technologies running simultaneously. ...
UKENDO Support concept for creation and use of marine
... • Several thousand rules (marine doctrines) determine the tasks the staff of a military ship has to perform. The rules apply to people from the chief officer to the sea man. •The rules exist somehow and somewhere. • How do we structure the rules in order to have the right information available at th ...
... • Several thousand rules (marine doctrines) determine the tasks the staff of a military ship has to perform. The rules apply to people from the chief officer to the sea man. •The rules exist somehow and somewhere. • How do we structure the rules in order to have the right information available at th ...
Slide 1
... No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) During the 1991 Gulf War, US forces deployed an AI logistics planning and scheduling program that involved up to 50,000 vehicles, cargo, and people NASA's on-board autonomous planning program controlled the s ...
... No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) During the 1991 Gulf War, US forces deployed an AI logistics planning and scheduling program that involved up to 50,000 vehicles, cargo, and people NASA's on-board autonomous planning program controlled the s ...
jan10
... – if current location is dirty, clean it (Suck) – If current location is clean move to the other location ...
... – if current location is dirty, clean it (Suck) – If current location is clean move to the other location ...
Cognitive robotics in JOURNAL OF EXPERIMENTAL
... software agents with high-level cognitive functions such as reasoning over actions, goals, and environments, as well as behaviour planning. Cognitive robots must, for example, be able to reason about goals, space, events, actions, time, when to perceive and what to look for, the cognitive states of ...
... software agents with high-level cognitive functions such as reasoning over actions, goals, and environments, as well as behaviour planning. Cognitive robots must, for example, be able to reason about goals, space, events, actions, time, when to perceive and what to look for, the cognitive states of ...
NEW TRENDS IN NEUROCYBERNETICS
... advancing both the scientific knowledge of cognitive processes and the potential opportunities for technical applications. The first of these architectures is known as SOAR (its name comes from the terms State, Operator And Result). An example of the work performed in this field is the research that ...
... advancing both the scientific knowledge of cognitive processes and the potential opportunities for technical applications. The first of these architectures is known as SOAR (its name comes from the terms State, Operator And Result). An example of the work performed in this field is the research that ...
CP052 E-Commerce Technology
... algorithm for a given problem specification and agent technology CO3: Analyze intelligent agents for problem solving, reasoning, planning, decision making, performance constraints for a large system CO4: Implement AI technique to a given concrete problem relatively by considering a large system ...
... algorithm for a given problem specification and agent technology CO3: Analyze intelligent agents for problem solving, reasoning, planning, decision making, performance constraints for a large system CO4: Implement AI technique to a given concrete problem relatively by considering a large system ...
Functional Framework for Cognition
... Hippocampus is involved with episodic memory, while subcortical basal ganglia and cerebellum are responsible for motor learning. ...
... Hippocampus is involved with episodic memory, while subcortical basal ganglia and cerebellum are responsible for motor learning. ...
Working Memory
... The executive part of Working Memory involves the prefrontal lobe. The verbal part --- such as rehearsing words or numbers silently --involves the speech areas of the cortex (especially the dominant hemisphere). E.g., Broca and Wernicke's areas. The visual part --- such as visual imagery to think ab ...
... The executive part of Working Memory involves the prefrontal lobe. The verbal part --- such as rehearsing words or numbers silently --involves the speech areas of the cortex (especially the dominant hemisphere). E.g., Broca and Wernicke's areas. The visual part --- such as visual imagery to think ab ...
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.