Expert Systems
... Roles of an expert system • Assisting expert – Assisting an expert is the most commonly found role of an ES. – The goal is to aid an expert in a routine tasks to increase productivity, or to aid in managing a complex situation by using an expert system that may itself draw on experience of other (p ...
... Roles of an expert system • Assisting expert – Assisting an expert is the most commonly found role of an ES. – The goal is to aid an expert in a routine tasks to increase productivity, or to aid in managing a complex situation by using an expert system that may itself draw on experience of other (p ...
PPT
... If I receive a message from agent which requests for me to do action at time and I believe that agent is a friend. I can do action at time, I am not committed to doing any other action. then commit to doing action at time. ...
... If I receive a message from agent which requests for me to do action at time and I believe that agent is a friend. I can do action at time, I am not committed to doing any other action. then commit to doing action at time. ...
Case-based reasoning foundations
... As one of the main AI paradigms, CBR represents knowledge and reasons with it. In CBR a body of cases represent first-class knowledge, upon which reasoning methods for similarity assessment, case adaptation and learning of new cases are applied. The variety of ways in which CBR systems were develope ...
... As one of the main AI paradigms, CBR represents knowledge and reasons with it. In CBR a body of cases represent first-class knowledge, upon which reasoning methods for similarity assessment, case adaptation and learning of new cases are applied. The variety of ways in which CBR systems were develope ...
What is a plan?
... uncertainty about the world, as might be faced, for example, by a system for medical diagnosis and treatment. ...
... uncertainty about the world, as might be faced, for example, by a system for medical diagnosis and treatment. ...
Hypothesis Testing for Complex Agents
... Often performance evaluation involves judgments or ratings from human subjects. Clearly it is not enough that one subject judges an AI conversation to be lifelike because we do not know how typical that subject is, and how robust their opinion is. It would be better to choose a larger sample of rate ...
... Often performance evaluation involves judgments or ratings from human subjects. Clearly it is not enough that one subject judges an AI conversation to be lifelike because we do not know how typical that subject is, and how robust their opinion is. It would be better to choose a larger sample of rate ...
SARA A Software Reuse Architecture for Building ... Systems
... specific views. In a real world situation, the picture is somewhatmore complex. There will always be situations where modifications to some elements in the reuse frameworks are required for proper behavior. In an open environment like SARA, this can easily be done through classical object-oriented i ...
... specific views. In a real world situation, the picture is somewhatmore complex. There will always be situations where modifications to some elements in the reuse frameworks are required for proper behavior. In an open environment like SARA, this can easily be done through classical object-oriented i ...
Reasoning and Acting in Time - Association for the Advancement of
... what this exactly means, a number of general assumptions about what is reasonably to be expected from an embodied cognitive agent should first be pointed out. First, to appropriately behave in a changing world, an agent must be aware of its environment and the outcome of its acts, and ready to recov ...
... what this exactly means, a number of general assumptions about what is reasonably to be expected from an embodied cognitive agent should first be pointed out. First, to appropriately behave in a changing world, an agent must be aware of its environment and the outcome of its acts, and ready to recov ...
Agents and e
... uncertain and/or unknown environment. • Agents are tools that are developed to take into account exactly (some of) the above conditions in their working environment. ...
... uncertain and/or unknown environment. • Agents are tools that are developed to take into account exactly (some of) the above conditions in their working environment. ...
- Lorentz Center
... symbols) whose manipulation can be described in terms of rules or algorithms: ...
... symbols) whose manipulation can be described in terms of rules or algorithms: ...
Developing Intelligent Robots with CAST
... As mentioned in Section II we are interested in understanding the trade-offs available in the design space of architectures for intelligent systems. We designed CAS to allow us study a small region of this space in a systematic manner. CAS is an architecture schema, i.e. a set of rules which can be ...
... As mentioned in Section II we are interested in understanding the trade-offs available in the design space of architectures for intelligent systems. We designed CAS to allow us study a small region of this space in a systematic manner. CAS is an architecture schema, i.e. a set of rules which can be ...
The Project ENTs: Towards Modeling Human
... their knowledge in practice and later they do not know how to use their knowledge. c) Due to complexity of h-agents’ mind, programmers or designers sometimes need to prototype it (it means to test several approaches and choose the best one). Languages like C++ or Java are not a good tool for prototy ...
... their knowledge in practice and later they do not know how to use their knowledge. c) Due to complexity of h-agents’ mind, programmers or designers sometimes need to prototype it (it means to test several approaches and choose the best one). Languages like C++ or Java are not a good tool for prototy ...
Deontic Cognitive Event Calculus - Rensselaer Polytechnic Institute
... agent believes that the agent ought to α when φ holds at any time, and it is the case that the agent ought to α when φ, and the agent believes that φ holds at a given time, then the agent knows that the agent intends to perform action α.”.4 The rule for the communication operator is from the analysi ...
... agent believes that the agent ought to α when φ holds at any time, and it is the case that the agent ought to α when φ, and the agent believes that φ holds at a given time, then the agent knows that the agent intends to perform action α.”.4 The rule for the communication operator is from the analysi ...
Learning Agents - University of Connecticut
... JADE allows services to be hosted and discovered in a distributed dynamic environment. On top of those “basic” services, mouse/cat agents can conceive maze/mouse/cat services provided and join/quit from the maze server they discovered from DF service. ...
... JADE allows services to be hosted and discovered in a distributed dynamic environment. On top of those “basic” services, mouse/cat agents can conceive maze/mouse/cat services provided and join/quit from the maze server they discovered from DF service. ...
Societies of Agents - Foundations of Artificial Intelligence
... accessible vs. inaccessible (fully observable vs. partially observable) Are the relevant aspects of the environment accessible to the sensors? ...
... accessible vs. inaccessible (fully observable vs. partially observable) Are the relevant aspects of the environment accessible to the sensors? ...
2 COMPUTATIONAL MODELLING IN ARTIFICIAL INTELLIGENCE
... architectures, e.g. CALM (see Chapter 3). One extreme is a strictly sequential architecture, where the different modules are accessed in sequence: output of one component is input to the next component. The other extreme is to have no modules at all, but to have an integrated system where knowledge ...
... architectures, e.g. CALM (see Chapter 3). One extreme is a strictly sequential architecture, where the different modules are accessed in sequence: output of one component is input to the next component. The other extreme is to have no modules at all, but to have an integrated system where knowledge ...
Reexamining Behavior-Based Artificial Intelligence
... Abstract Learning, like any search, is only tractable if it is tightly focused. Modularity can provide the information a learning system needs by supporting specialized representation. Behavior-based artificial intelligence is a well-known modular theory of intelligent design, but has not been used ...
... Abstract Learning, like any search, is only tractable if it is tightly focused. Modularity can provide the information a learning system needs by supporting specialized representation. Behavior-based artificial intelligence is a well-known modular theory of intelligent design, but has not been used ...
Intorduction to Artificial Intelligence Prof. Dechter ICS 270A
... Engineering versus cognitive approaches Intelligent agents History of AI Real-World Applications of AI ...
... Engineering versus cognitive approaches Intelligent agents History of AI Real-World Applications of AI ...
stairs 2012 - Shiwali Mohan
... monster from Mario, speed of the monster and its type as attributes. Mohan and Laird also used a similar representation in their solution for the Infinite Mario domain in [10]. However, including all objects in the visual scene as a part of the state will result in a large state table. As an extens ...
... monster from Mario, speed of the monster and its type as attributes. Mohan and Laird also used a similar representation in their solution for the Infinite Mario domain in [10]. However, including all objects in the visual scene as a part of the state will result in a large state table. As an extens ...
act
... • An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful • Performance measure: An objective criterion for success of an agent's behavior • E.g., performance measure ...
... • An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful • Performance measure: An objective criterion for success of an agent's behavior • E.g., performance measure ...
Towards Modeling False Memory with Computational Knowledge
... The goal of this experiment is to validate spreading activation as a viable explanation for false memory in the DRM task. The semantic network used in this experiment was created manually from the words in the “needle” and “doctor” lists. For each list, the fifteen stimuli words are all connected to ...
... The goal of this experiment is to validate spreading activation as a viable explanation for false memory in the DRM task. The semantic network used in this experiment was created manually from the words in the “needle” and “doctor” lists. For each list, the fifteen stimuli words are all connected to ...
Intelligent Agents
... An agent program accepts percepts, combines them with any stored knowledge, and selects actions. A rational agent will choose actions so as to maximise some performance measure. (In practice try to achieve “good’ performance.) Four basic types in order of increasing generality: ...
... An agent program accepts percepts, combines them with any stored knowledge, and selects actions. A rational agent will choose actions so as to maximise some performance measure. (In practice try to achieve “good’ performance.) Four basic types in order of increasing generality: ...
Capturing knowledge about the instances behavior in probabilistic
... Suppose you have just been engaged as a project manager in an organization and you are in charge of two programmers, A and B. Theoretically A and B can do the same work, but probably they will have different skills. As you “a priori” don’t know them, it would be common sense to evaluate their work i ...
... Suppose you have just been engaged as a project manager in an organization and you are in charge of two programmers, A and B. Theoretically A and B can do the same work, but probably they will have different skills. As you “a priori” don’t know them, it would be common sense to evaluate their work i ...
The CLARION Cognitive Architecture: A Tutorial
... •" In ACT-R, there is no built-in modeling of motivational processes (as in CLARION) --- goals are externally set and directly hand-coded. ! •" In ACT-R, there is no built-in sophisticated metacognitive process (as in CLARION).! •" ACT-R has some detailed sensory-motor modules that CLARION currently ...
... •" In ACT-R, there is no built-in modeling of motivational processes (as in CLARION) --- goals are externally set and directly hand-coded. ! •" In ACT-R, there is no built-in sophisticated metacognitive process (as in CLARION).! •" ACT-R has some detailed sensory-motor modules that CLARION currently ...
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.