Diagrammatic Representation and Reasoning: Some Distinctions
... representations in general can also have color and texture as part of the representational repertoire, while spatial representations do not seem to involve these properties. Motion is potentially part of all three: diagrams can use animation, and visual and spatial representations can involve sequen ...
... representations in general can also have color and texture as part of the representational repertoire, while spatial representations do not seem to involve these properties. Motion is potentially part of all three: diagrams can use animation, and visual and spatial representations can involve sequen ...
Intelligent Agents
... But, as Oren Etzioni points out, this is not the case – ‘Intelligent agents are ninety-nine percent computer science and one percent AI’ (Etzioni, 1996). While AI techniques may be drawn upon to build agents, not all the capabilities are required by an agent and thus not all AI problems need be solv ...
... But, as Oren Etzioni points out, this is not the case – ‘Intelligent agents are ninety-nine percent computer science and one percent AI’ (Etzioni, 1996). While AI techniques may be drawn upon to build agents, not all the capabilities are required by an agent and thus not all AI problems need be solv ...
From Agent Theory to Agent Construction: A Case Study
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
From Agent Theory to Agent Construction: A Case Study
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
The Importance of Cognitive Architectures
... through developing computational models of cognitive processes, and in building intelligent systems for practical applications. The general idea behind this body of work on hybrid systems, developing more comprehensive models through integrating a variety of techniques, can be further extended into ...
... through developing computational models of cognitive processes, and in building intelligent systems for practical applications. The general idea behind this body of work on hybrid systems, developing more comprehensive models through integrating a variety of techniques, can be further extended into ...
AAAI Proceedings Template
... machine vision is that the latter has made continual progress in recognizing a wide range of objects and their properties, what might be thought of as the nouns in the description of a scene. The focus of Mind’s Eye is to add the perceptual and cognitive underpinnings for recognizing and reasoning a ...
... machine vision is that the latter has made continual progress in recognizing a wide range of objects and their properties, what might be thought of as the nouns in the description of a scene. The focus of Mind’s Eye is to add the perceptual and cognitive underpinnings for recognizing and reasoning a ...
Get PDF - IOS Press
... the nice property that bidding agents should simply bid their true private values (i.e., exactly what they think it is worth to them), removing any need for additional reasoning about its worth to others. Market simulations and economics can also be used to distribute large quantities of resources a ...
... the nice property that bidding agents should simply bid their true private values (i.e., exactly what they think it is worth to them), removing any need for additional reasoning about its worth to others. Market simulations and economics can also be used to distribute large quantities of resources a ...
Engineering Efficient Planners with SAT
... science. This situation can be traced back to properties of early SAT-based planning systems, which have made for example heuristic state-space search [2] more attractive for solving the planning community’s standard benchmark problems. Only the most recent works have shown that SAT-based planning c ...
... science. This situation can be traced back to properties of early SAT-based planning systems, which have made for example heuristic state-space search [2] more attractive for solving the planning community’s standard benchmark problems. Only the most recent works have shown that SAT-based planning c ...
The Nature of the Social Agent - Digital Collections
... form to this diversity, while still encompassing it all. Our attempt is outlined in Tables 1 and 2. It is an analysis that consists of two sequences. In the first sequence, we start with a maximally capable agent and successively restrict its architecture4, i.e., its information processing capabilit ...
... form to this diversity, while still encompassing it all. Our attempt is outlined in Tables 1 and 2. It is an analysis that consists of two sequences. In the first sequence, we start with a maximally capable agent and successively restrict its architecture4, i.e., its information processing capabilit ...
Pdf - Text of NPTEL IIT Video Lectures
... The second objective is, after the student has learnt this material he should have this following capability. Given a problem description he should be able to formulate it in terms of a State Space Search problem. He should be able to do the state space decomposition of the problem, decide how a sta ...
... The second objective is, after the student has learnt this material he should have this following capability. Given a problem description he should be able to formulate it in terms of a State Space Search problem. He should be able to do the state space decomposition of the problem, decide how a sta ...
Common Sense - Myreaders.info
... ‡ The template is fed to a script classifier, which classifies what script is active in the template. ‡ The template and the script are passed to a reasoning problem builder specific to the script, which converts the template into a commonsense reasoning problem. ‡ The problem and a commonsense know ...
... ‡ The template is fed to a script classifier, which classifies what script is active in the template. ‡ The template and the script are passed to a reasoning problem builder specific to the script, which converts the template into a commonsense reasoning problem. ‡ The problem and a commonsense know ...
Artificial Emotion Simulation Techniques for Intelligent Virtual
... In the Soar implementation of this system, the Soar rules that comprise have special conditions such that different kinds of rules only fire at differing levels of arousal. For example, highly cognitive rules will not fire at high levels of arousal, while more purely emotional rules may only fire at ...
... In the Soar implementation of this system, the Soar rules that comprise have special conditions such that different kinds of rules only fire at differing levels of arousal. For example, highly cognitive rules will not fire at high levels of arousal, while more purely emotional rules may only fire at ...
artificial intelligence - ABIT Group of Institutions
... able to prove theorems that many students of mathematics would find quite tricky. Lisp was invented by John McCarthy in 1958 while he was at the Massachusetts Institute of Technology (MIT). In 1963, McCarthy started the AI lab at Stanford. Tom Evans's ANALOGY program (1968) solved geometric analogy ...
... able to prove theorems that many students of mathematics would find quite tricky. Lisp was invented by John McCarthy in 1958 while he was at the Massachusetts Institute of Technology (MIT). In 1963, McCarthy started the AI lab at Stanford. Tom Evans's ANALOGY program (1968) solved geometric analogy ...
Description Logics and Planning - isi
... Planning systems often reason about how actions transform an initial state of the world into a final state, changing the domain objects as actions are executed. State information is often expressed as a set of ground predicates, in some cases organizing objects into small type hierarchies. Expressiv ...
... Planning systems often reason about how actions transform an initial state of the world into a final state, changing the domain objects as actions are executed. State information is often expressed as a set of ground predicates, in some cases organizing objects into small type hierarchies. Expressiv ...
Coordinating Busy Agents Using a Hybrid Clustering
... new task for which it created the announcement with no agents yet assigned to it. Cluster cm+2 contains any bidding agents not yet assigned to a task. Assigning an agent ai to a cluster that contains a task t j represents a temporary assignment of agent ai to task tj. Each cluster type has two funct ...
... new task for which it created the announcement with no agents yet assigned to it. Cluster cm+2 contains any bidding agents not yet assigned to a task. Assigning an agent ai to a cluster that contains a task t j represents a temporary assignment of agent ai to task tj. Each cluster type has two funct ...
A distributed problem-solving approach to rule induction
... learning, case-based reasoning, or inductive learning, to the multi-agent systems, where one agent can learn by observing and interacting with other agents. In the organization context, the learning processes interact with the dynamic performance of the agents. Lounamaa and March[ 1987] showed how t ...
... learning, case-based reasoning, or inductive learning, to the multi-agent systems, where one agent can learn by observing and interacting with other agents. In the organization context, the learning processes interact with the dynamic performance of the agents. Lounamaa and March[ 1987] showed how t ...
AAAI Proceedings Template - R3-COP
... of state variables (e.g. actions that assign different values to a numeric fluent). Constructive interferences on the other hand are not modeled. This makes for a relatively simple model of interactions among concurrent actions. However NADL allows a distinction between system and environment agents ...
... of state variables (e.g. actions that assign different values to a numeric fluent). Constructive interferences on the other hand are not modeled. This makes for a relatively simple model of interactions among concurrent actions. However NADL allows a distinction between system and environment agents ...
Final Course Review
... • Unlike search techniques, means-ends analysis can select an action even if it is not possible in the current state. • If a planner selects an action that results in the goal state, but is not currently possible, then it will be set as a new goal the conditions necessary for carrying put that actio ...
... • Unlike search techniques, means-ends analysis can select an action even if it is not possible in the current state. • If a planner selects an action that results in the goal state, but is not currently possible, then it will be set as a new goal the conditions necessary for carrying put that actio ...
Rīgas Tehniskā universitāte
... operate with strictly defined symbols, for instance, expert systems [4, 5]. Subsymbolic methods are based on a decentralized structure where its elements are interlinked with each ...
... operate with strictly defined symbols, for instance, expert systems [4, 5]. Subsymbolic methods are based on a decentralized structure where its elements are interlinked with each ...
Case-based Reasoning and Multiple-agent Systems for Accounting
... Third, descriptive models of AI provide the basis to investigate the interaction of organizations and agents within those organiz ations. Models can allow us to understand how the agents will act in making decisions or taking actions. Experiments can focus on the impact of alternative objectives, s ...
... Third, descriptive models of AI provide the basis to investigate the interaction of organizations and agents within those organiz ations. Models can allow us to understand how the agents will act in making decisions or taking actions. Experiments can focus on the impact of alternative objectives, s ...
1.1.1 What is artificial intelligence?
... generated in hours that would have taken weeks with older methods. The Defense Advanced Research Project Agency (DARPA) stated that this single application more than paid back DARPA's 30-year investment in AI. Robotics: Many surgeons now use robot assistants in microsurgery. HipNav (DiGioia et al., ...
... generated in hours that would have taken weeks with older methods. The Defense Advanced Research Project Agency (DARPA) stated that this single application more than paid back DARPA's 30-year investment in AI. Robotics: Many surgeons now use robot assistants in microsurgery. HipNav (DiGioia et al., ...
artificial intelligence - cs2302 computer networks
... generated in hours that would have taken weeks with older methods. The Defense Advanced Research Project Agency (DARPA) stated that this single application more than paid back DARPA's 30-year investment in AI. Robotics: Many surgeons now use robot assistants in microsurgery. HipNav (DiGioia et al., ...
... generated in hours that would have taken weeks with older methods. The Defense Advanced Research Project Agency (DARPA) stated that this single application more than paid back DARPA's 30-year investment in AI. Robotics: Many surgeons now use robot assistants in microsurgery. HipNav (DiGioia et al., ...
Pogamut 3 – Virtual Humans Made Simple
... researchers from various fields ranging from neurobiology to enactive artificial intelligence use robots as test-beds for investigating and refining their ideas concerning various cognitive and/or motor skills, producing detailed computational models. Virtual humans are not widely used for this purp ...
... researchers from various fields ranging from neurobiology to enactive artificial intelligence use robots as test-beds for investigating and refining their ideas concerning various cognitive and/or motor skills, producing detailed computational models. Virtual humans are not widely used for this purp ...
An Intelligent Distributed System for Strategic Decision Making
... locally by different agents, at different levels. A variety of knowledge-based systems have been developed to model strategic planning decisions (Berman and Kautz 1990; Mockler 1989; Greenley 1989). A good review of the literature can be found in Clark (1992). They are mostly decision-support system ...
... locally by different agents, at different levels. A variety of knowledge-based systems have been developed to model strategic planning decisions (Berman and Kautz 1990; Mockler 1989; Greenley 1989). A good review of the literature can be found in Clark (1992). They are mostly decision-support system ...
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.