Chapter_3_ID2e_slides - Interaction Design
... items till they see the one they want • They don’t have to recall them from memory having only briefly heard or seen them • Sometimes a small number of items is good ...
... items till they see the one they want • They don’t have to recall them from memory having only briefly heard or seen them • Sometimes a small number of items is good ...
ai-lect2
... • (degree of) Autonomy: to what extent is the agent able to make decisions and actions on its own? ...
... • (degree of) Autonomy: to what extent is the agent able to make decisions and actions on its own? ...
A Neuropsychological Framework for Advancing Artificial Intelligence
... to build truly intelligent systems, it is important to establish a link between internal symbols and external real world entities, events and relationships. The problems of assigning symbolic representations of the system to a meaning in the physical world is termed as the symbol grounding problem ( ...
... to build truly intelligent systems, it is important to establish a link between internal symbols and external real world entities, events and relationships. The problems of assigning symbolic representations of the system to a meaning in the physical world is termed as the symbol grounding problem ( ...
COMP219 Lec3 agents - Computer Science Intranet
... ◦ Many actions may satisfy a goal, but which is the most desirable? ◦ Utility function maps a state, or sequence of states, onto a real number to give the degree of ‘usefulness’ of the state to the agent Agent tries to maximise the value of its utility function ...
... ◦ Many actions may satisfy a goal, but which is the most desirable? ◦ Utility function maps a state, or sequence of states, onto a real number to give the degree of ‘usefulness’ of the state to the agent Agent tries to maximise the value of its utility function ...
Chapter_3_ID2e_ekversion
... items till they see the one they want • They don’t have to recall them from memory having only briefly heard or seen them • Sometimes a small number of items is good ...
... items till they see the one they want • They don’t have to recall them from memory having only briefly heard or seen them • Sometimes a small number of items is good ...
Online Language Learning to Perform and Describe Actions for
... adaptive spoken langue interface between humans and a humanoid robot. The system should be able to learn new grammatical constructions in real-time, and then use them immediately following or in a later interactive session. In order to achieve this we use a recurrent neural network of 500 neurons - ...
... adaptive spoken langue interface between humans and a humanoid robot. The system should be able to learn new grammatical constructions in real-time, and then use them immediately following or in a later interactive session. In order to achieve this we use a recurrent neural network of 500 neurons - ...
Cognitive Requirements for Agent
... To be instructionally effective, the agent(s) must assert enough control so that the learner develops confidence in the agent(s) in terms of believability, competence, and trust. The Guides [7] project (as discussed by [8]) is an anecdotal study that investigated the issue of believability for agent ...
... To be instructionally effective, the agent(s) must assert enough control so that the learner develops confidence in the agent(s) in terms of believability, competence, and trust. The Guides [7] project (as discussed by [8]) is an anecdotal study that investigated the issue of believability for agent ...
Intelligent Agents - University of Washington
... instructions" that "from the point of view of someone outside the room" your responses are "absolutely indistinguishable from those of Chinese speakers." Just by looking at your answers, nobody can tell you "don't speak a word of Chinese." Producing answers "by manipulating uninterpreted formal symb ...
... instructions" that "from the point of view of someone outside the room" your responses are "absolutely indistinguishable from those of Chinese speakers." Just by looking at your answers, nobody can tell you "don't speak a word of Chinese." Producing answers "by manipulating uninterpreted formal symb ...
CS 445 / 645 Introduction to Computer Graphics
... An agent can be a simple reflex agent, or an agent which knows its state, has a goal, or chooses the best sequence of states to reach its goal. ...
... An agent can be a simple reflex agent, or an agent which knows its state, has a goal, or chooses the best sequence of states to reach its goal. ...
Process and Emergence in the Economy
... best a marginal position in guiding effective action in the world. And it follows that any “common knowledge” agents might have about one another must be attained from concrete, specified cognitive processes operating on experiences obtained through concrete interactions. Common knowledge cannot sim ...
... best a marginal position in guiding effective action in the world. And it follows that any “common knowledge” agents might have about one another must be attained from concrete, specified cognitive processes operating on experiences obtained through concrete interactions. Common knowledge cannot sim ...
full document - Intelligent Systems Laboratory
... [Smith, 1992]. These systems all employ FSMs as the representational paradigm. The knowledge found on FSM’s does not necessarily aggregate all the related tasks, actions, and things to look out for in a self-contained module. This makes their formalization somewhat difficult from the conceptual stan ...
... [Smith, 1992]. These systems all employ FSMs as the representational paradigm. The knowledge found on FSM’s does not necessarily aggregate all the related tasks, actions, and things to look out for in a self-contained module. This makes their formalization somewhat difficult from the conceptual stan ...
Road Map - Computer Science Department
... Competitive advantage through promotion of agent systems technology Improvement in standard, profile, industrial relevance of research in agents Promote excellence of teaching and ...
... Competitive advantage through promotion of agent systems technology Improvement in standard, profile, industrial relevance of research in agents Promote excellence of teaching and ...
Accidental Reinforcement Can Cause Superstitious Behavior
... • Skinner came up with his theories about schedules by using rats in a box in a highly controlled environment. • Humans are not rats, and our world is not a highly controlled environment. Therefore, we cannot always make the theories apply equally well with each example. • There is room for interpre ...
... • Skinner came up with his theories about schedules by using rats in a box in a highly controlled environment. • Humans are not rats, and our world is not a highly controlled environment. Therefore, we cannot always make the theories apply equally well with each example. • There is room for interpre ...
A Development Environment for Engineering Intelligent
... Modeling multiagent systems (MAS) is a complex endeavour. An ideal domain specific agent modeling language would be tailored to a certain application domain (e.g. virtual worlds) as well as to the target execution environment (e.g. a legacy virtual reality platform). At the same time it is desirable ...
... Modeling multiagent systems (MAS) is a complex endeavour. An ideal domain specific agent modeling language would be tailored to a certain application domain (e.g. virtual worlds) as well as to the target execution environment (e.g. a legacy virtual reality platform). At the same time it is desirable ...
Artificial Intelligence Overview
... Acting Rationally • Rational Agent Approach. The agent acts to achieve the best (or near best) ...
... Acting Rationally • Rational Agent Approach. The agent acts to achieve the best (or near best) ...
Models Of Cognition
... or discovering syntactical structures in language, have been modeled and these models are the basis for many claims about human cognitive capacities. Artificial neural nets (ANNs) have had some successes in the field of Artificial Intelligence, but the results from experiments with simple ANNs may h ...
... or discovering syntactical structures in language, have been modeled and these models are the basis for many claims about human cognitive capacities. Artificial neural nets (ANNs) have had some successes in the field of Artificial Intelligence, but the results from experiments with simple ANNs may h ...
A Lazy Brain? Embodied Embedded Cognition and Cognitive
... stream of decreasing toxics (Cairns-Smith, 1996, p. 90--94). The behavior of the E. coli could in principle be described in terms of the folk psychological concepts of beliefs, desires and intentions (Jonker, Snoep, Treur, Westerhoff, & Wijngaards, 2001), but these would be superfluous metaphorical ...
... stream of decreasing toxics (Cairns-Smith, 1996, p. 90--94). The behavior of the E. coli could in principle be described in terms of the folk psychological concepts of beliefs, desires and intentions (Jonker, Snoep, Treur, Westerhoff, & Wijngaards, 2001), but these would be superfluous metaphorical ...
MidtermSeanWayneRobinWayne
... of simple assumptions. Social simulations are the class of simulations that is used to study social behavior and phenomena. In the social conventions setting, agents interact with each other with set rules, or games, and observe information about the system. In this paper, we investigate the efficie ...
... of simple assumptions. Social simulations are the class of simulations that is used to study social behavior and phenomena. In the social conventions setting, agents interact with each other with set rules, or games, and observe information about the system. In this paper, we investigate the efficie ...
CIS 690 - Kansas State University
... – Mapping p: percept sequence action • Representing p as list of pairs: infinite (unless explicitly bounded) • Using p: specifies ideal mapping from percepts to actions (i.e., ideal agent) • Finding explicit p: in principle, could use trial and error • Other (implicit) representations may be easie ...
... – Mapping p: percept sequence action • Representing p as list of pairs: infinite (unless explicitly bounded) • Using p: specifies ideal mapping from percepts to actions (i.e., ideal agent) • Finding explicit p: in principle, could use trial and error • Other (implicit) representations may be easie ...
Meta-Analysis of the Effectiveness of Pedagogical Agent
... facilitate interactive communication between human learners and computers in learning environments. provide contextualized instruction, help increasing learners’ motivation, and/or enhance problem-solving skills. ...
... facilitate interactive communication between human learners and computers in learning environments. provide contextualized instruction, help increasing learners’ motivation, and/or enhance problem-solving skills. ...
Cognitive architectures
... are used to characterize the behavior of a high-dimensional system with a low-dimensional model which is one of the features that distinguishes dynamical systems from connectionist systems. In contrary to connectionist systems which describe the dynamics in a very high-dimensional space, dynamical m ...
... are used to characterize the behavior of a high-dimensional system with a low-dimensional model which is one of the features that distinguishes dynamical systems from connectionist systems. In contrary to connectionist systems which describe the dynamics in a very high-dimensional space, dynamical m ...
RatCog: A GUI maze simulation tool with plugin “rat brains”
... models. When a practicing psychologist reads a book on computational models of rats (e.g., Schmajuk, 1997), it would be tremendously useful for them to be able to use these models in addressing their own research questions. Unfortunately, using other researcher’s models quite likely involves re-impl ...
... models. When a practicing psychologist reads a book on computational models of rats (e.g., Schmajuk, 1997), it would be tremendously useful for them to be able to use these models in addressing their own research questions. Unfortunately, using other researcher’s models quite likely involves re-impl ...
A Believable Agent for First-Person Shooter Games
... Abstract In this paper, we present a principled approach to constructing believable game players that relies on a cognitive architecture. The resulting agent is capable of playing the game Urban Combat in a plausible manner when faced with similar situations as its human counterparts. We discuss how ...
... Abstract In this paper, we present a principled approach to constructing believable game players that relies on a cognitive architecture. The resulting agent is capable of playing the game Urban Combat in a plausible manner when faced with similar situations as its human counterparts. We discuss how ...
A Believable Agent for First-Person Shooter Games
... There have been some efforts to construct more believable agents, with TacAir-Soar (Jones et al., 1999) being an excellent example in the domain of simulated aerial combat. Its developers proposed three principles for generating human-like behavior, which include the same basic processing structure, ...
... There have been some efforts to construct more believable agents, with TacAir-Soar (Jones et al., 1999) being an excellent example in the domain of simulated aerial combat. Its developers proposed three principles for generating human-like behavior, which include the same basic processing structure, ...