CS 445 / 645 Introduction to Computer Graphics
... Perception is the ability to see, hear, or become aware of something through the senses ...
... Perception is the ability to see, hear, or become aware of something through the senses ...
Cognitive Robotics - Cognitive Science Department
... with endowing robotic or software agents with higher level cognitive functions that involve reasoning, for example, about goals, perception, actions, the mental states of other agents, collaborative task execution, etc. – University of Toronto Cognitive Robotics group ...
... with endowing robotic or software agents with higher level cognitive functions that involve reasoning, for example, about goals, perception, actions, the mental states of other agents, collaborative task execution, etc. – University of Toronto Cognitive Robotics group ...
3. Define Artificial Intelligence in terms of
... intelligent behavior-Luger&Stubblefield. 4. Define Artificial in terms of rational thinking. The study of mental faculties through the use of computational models-Charniak&McDermott. The study of the computations that make it possible to perceive, reason and act-Winston. 5. What does Turing test mea ...
... intelligent behavior-Luger&Stubblefield. 4. Define Artificial in terms of rational thinking. The study of mental faculties through the use of computational models-Charniak&McDermott. The study of the computations that make it possible to perceive, reason and act-Winston. 5. What does Turing test mea ...
1983 - Derivational Analogy and Its Role in Problem Solving
... specificity of domain knowledge they require, 0 If no structuring domain knowledge is available and there iS no US&A past experience to draw upon, weak methods such as heuristic search and means-ends analysis are the only tools that can be brought to bear. Even in these knowledge-poor situations, in ...
... specificity of domain knowledge they require, 0 If no structuring domain knowledge is available and there iS no US&A past experience to draw upon, weak methods such as heuristic search and means-ends analysis are the only tools that can be brought to bear. Even in these knowledge-poor situations, in ...
Policy Communication for Coordination with Unknown Teammates
... literature, these teams of agents share an identical design for reasoning, planning, and executing actions, allowing perfect modeling of teammates. Ad hoc teamwork (Stone et al. 2010) further complicates this problem by introducing a variety of teammates with which an agent must coordinate. In these ...
... literature, these teams of agents share an identical design for reasoning, planning, and executing actions, allowing perfect modeling of teammates. Ad hoc teamwork (Stone et al. 2010) further complicates this problem by introducing a variety of teammates with which an agent must coordinate. In these ...
Towards Conscious-like Behavior in Computer Game Characters
... MC is a young and multidisciplinary field of research concerned with the replication of consciousness in machines. This is indeed a vast area of research, where different subareas can be identified: design of machines showing conscious-like behaviors, implementation of cognitive capabilities associa ...
... MC is a young and multidisciplinary field of research concerned with the replication of consciousness in machines. This is indeed a vast area of research, where different subareas can be identified: design of machines showing conscious-like behaviors, implementation of cognitive capabilities associa ...
CTL AgentSpeak(L): a specification language for agent programs
... The theory of practical reasoning proposed by Bratman [3], expounds the philosophical foundation for the computational approaches to rational agency, known as BDI (Belief-Desire-Intention) systems. This theory is innovative because it does not reduce intentions to some combination of beliefs and des ...
... The theory of practical reasoning proposed by Bratman [3], expounds the philosophical foundation for the computational approaches to rational agency, known as BDI (Belief-Desire-Intention) systems. This theory is innovative because it does not reduce intentions to some combination of beliefs and des ...
Agent definitions - Computer Science
... • The complexity of such a system or the fact that we can not know or predict the internal structure of all components seems to imply that we must rely on animistic, intentional explanation of system functioning and behaviour. • We thus come again to the idea presented in the beginning: try to appl ...
... • The complexity of such a system or the fact that we can not know or predict the internal structure of all components seems to imply that we must rely on animistic, intentional explanation of system functioning and behaviour. • We thus come again to the idea presented in the beginning: try to appl ...
Learning Long-term Planning in Basketball Using
... achieve a certain strategic position. The space of all such trajectories is prohibitively large, and precludes conventional approaches, such as those based on Markovian dynamics. Many planning settings can be naturally modeled as requiring high-level, long-term macro-goals, which span time horizons ...
... achieve a certain strategic position. The space of all such trajectories is prohibitively large, and precludes conventional approaches, such as those based on Markovian dynamics. Many planning settings can be naturally modeled as requiring high-level, long-term macro-goals, which span time horizons ...
PANGEA: A New Platform for Developing Virtual Organizations of
... emerged in response to this idea; they include a set of agents with roles and norms that determine their behaviour, and represent a place where these new capabilities will assume a critical role. Possible organizational topologies and aspects such as communication and coordination mechanisms determi ...
... emerged in response to this idea; they include a set of agents with roles and norms that determine their behaviour, and represent a place where these new capabilities will assume a critical role. Possible organizational topologies and aspects such as communication and coordination mechanisms determi ...
The SCHOLAR Legacy: A New Look at the Affordances of Semantic
... The domain model represents what the learner is supposed to learn. Following tradition in psychology [e.g., Anderson, 1976; Haapasalo, 2003; Ryle, 1949; Skemp, 1979] we can accept a distinction between conceptual (or declarative) knowledge and procedural (or imperative) knowledge, i.e., the distinct ...
... The domain model represents what the learner is supposed to learn. Following tradition in psychology [e.g., Anderson, 1976; Haapasalo, 2003; Ryle, 1949; Skemp, 1979] we can accept a distinction between conceptual (or declarative) knowledge and procedural (or imperative) knowledge, i.e., the distinct ...
COMBINED ARTIFICIAL INTELLIGENCE BEHAVIOUR SYSTEMS IN
... utilise the most appropriate methodology for any given situation. Given that it would take an AI system by itself to determine which methodology was most appropriate at any one time, it is more effective to simply split the behaviour of an Agent into categories, and assign the most appropriate AI me ...
... utilise the most appropriate methodology for any given situation. Given that it would take an AI system by itself to determine which methodology was most appropriate at any one time, it is more effective to simply split the behaviour of an Agent into categories, and assign the most appropriate AI me ...
A New Platform for Developing Virtual Organizations of Agents
... emerged in response to this idea; they include a set of agents with roles and norms that determine their behaviour, and represent a place where these new capabilities will assume a critical role. Possible organizational topologies and aspects such as communication and coordination mechanisms determi ...
... emerged in response to this idea; they include a set of agents with roles and norms that determine their behaviour, and represent a place where these new capabilities will assume a critical role. Possible organizational topologies and aspects such as communication and coordination mechanisms determi ...
two per page - University of Waterloo
... associate with human thinking, such as decision making, problem solving, learning [Bellman 78] The art of creating machines that perform functions that require intelligence when performed by a human [Kurzweil 90] The study of how to make computers do things at which, at the moment, people are better ...
... associate with human thinking, such as decision making, problem solving, learning [Bellman 78] The art of creating machines that perform functions that require intelligence when performed by a human [Kurzweil 90] The study of how to make computers do things at which, at the moment, people are better ...
Paper - Christian Muise
... Here, we describe briefly the requisite planning background (cf. Ghallab et al. (2004) for a full treatment). A Fully Observable Non-Deterministic (FOND) planning problem consists of a tuple hF , I, Goal, Acti; F is a set of fluents, and we use S as the set of all possible states; I ⊆ F is the initi ...
... Here, we describe briefly the requisite planning background (cf. Ghallab et al. (2004) for a full treatment). A Fully Observable Non-Deterministic (FOND) planning problem consists of a tuple hF , I, Goal, Acti; F is a set of fluents, and we use S as the set of all possible states; I ⊆ F is the initi ...
Part 2 - Simon Fraser University
... way back to base, other agents will pick these up (making the trail fainter) – If agents find that a trail didn’t lead to more samples, they won’t reinforce trail • Modified set of behaviours: 1. If detect an obstacle then change direction 2. If carrying samples and at the base then drop samples 3. ...
... way back to base, other agents will pick these up (making the trail fainter) – If agents find that a trail didn’t lead to more samples, they won’t reinforce trail • Modified set of behaviours: 1. If detect an obstacle then change direction 2. If carrying samples and at the base then drop samples 3. ...
The Behavior-Oriented Design of Modular Agent Intelligence
... three-layer architectures [19, 22]. These hybrids combine the following: 1. behavior-based AI (BBAI), the decomposition of intelligence into simple, robust, reliable modules, 2. reactive planning, the ordering of expressed actions via carefully specified program structures, and 3. (optionally) delib ...
... three-layer architectures [19, 22]. These hybrids combine the following: 1. behavior-based AI (BBAI), the decomposition of intelligence into simple, robust, reliable modules, 2. reactive planning, the ordering of expressed actions via carefully specified program structures, and 3. (optionally) delib ...
Introduction to Multi-Agent Systems
... agents and agencies. Some researchers consider that we may talk and define an agent in isolation, while some others view agents mainly as entities acting in a collectively of other agents, therefore the multi-agent system (MAS) paradigm. Even if we stick to the single agent type of definition it is ...
... agents and agencies. Some researchers consider that we may talk and define an agent in isolation, while some others view agents mainly as entities acting in a collectively of other agents, therefore the multi-agent system (MAS) paradigm. Even if we stick to the single agent type of definition it is ...
Modularity and Design in Reactive Intelligence
... Parallel-rooted, Ordered Slip-stack Hierarchical (POSH) action selection. Although we freely distribute implementations of this architecture in both C++ and Lisp / CLOS, we have also implemented versions of POSH action selection in other architectures [Bryson and Stein, 2001]. The functionality of t ...
... Parallel-rooted, Ordered Slip-stack Hierarchical (POSH) action selection. Although we freely distribute implementations of this architecture in both C++ and Lisp / CLOS, we have also implemented versions of POSH action selection in other architectures [Bryson and Stein, 2001]. The functionality of t ...
toward memory-based reasoning - Computer Science, Columbia
... taneously, in log2 n time. (For a discussion of the principles underlying such algorithms, see [12].) The amount of hardware needed to build a Con nection Machine system is O(n log n) in the number of processors. 3 The time needed to perform memory based reasoning is O(log2 n). Therefore, memory ...
... taneously, in log2 n time. (For a discussion of the principles underlying such algorithms, see [12].) The amount of hardware needed to build a Con nection Machine system is O(n log n) in the number of processors. 3 The time needed to perform memory based reasoning is O(log2 n). Therefore, memory ...
STUDY ON CONVERSION FROM SPATIAL INFORMATION TO
... spatial information and natural language are significant difference, its essences are most relevant to the regularity of cognitive science. In essence, computability of spatial information raises spatial information model and spatial relation theory in general. Computability of natural language uses ...
... spatial information and natural language are significant difference, its essences are most relevant to the regularity of cognitive science. In essence, computability of spatial information raises spatial information model and spatial relation theory in general. Computability of natural language uses ...
Extended Abstract
... solving planning problems is about search, where we exhaustively test possible alternatives (action sequences in this case) whether they lead (or not) to the solution. Even for the simplest planning problems the number of such alternatives is very high which classifies planning problems as ones of t ...
... solving planning problems is about search, where we exhaustively test possible alternatives (action sequences in this case) whether they lead (or not) to the solution. Even for the simplest planning problems the number of such alternatives is very high which classifies planning problems as ones of t ...
Framework and Complexity Results for Coordinating Non
... of tasks requiring loosely-coupled agents. This reduction ensures that the set of independently developed plans constructed for the latter set is also a solution for the former set of tasks. We will use this framework to describe this reduction and to establish some relations between properties of t ...
... of tasks requiring loosely-coupled agents. This reduction ensures that the set of independently developed plans constructed for the latter set is also a solution for the former set of tasks. We will use this framework to describe this reduction and to establish some relations between properties of t ...
ID2209 Distributed Artificial Intelligence and Intelligent Agents
... We assume that most of devices in your home (such as refrigerator, washing machine, dish-washing machine, even wardrobe etc.) are software assistants (at least they are represented by software assistants). You are also represented by your software assistant. Imagine that you told your software assis ...
... We assume that most of devices in your home (such as refrigerator, washing machine, dish-washing machine, even wardrobe etc.) are software assistants (at least they are represented by software assistants). You are also represented by your software assistant. Imagine that you told your software assis ...
Forward and Backward Chaining and and
... Backward chaining is the best choice if: The goal is given in the problem statement, or can sensibly be guessed at the beginning of the consultation; or: The system has been built so that it sometimes asks for pieces of data (e.g. "please now do the gram test on the patient's blood, and tell me ...
... Backward chaining is the best choice if: The goal is given in the problem statement, or can sensibly be guessed at the beginning of the consultation; or: The system has been built so that it sometimes asks for pieces of data (e.g. "please now do the gram test on the patient's blood, and tell me ...
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.