Osmand Christian - XY Home
... However, there are problems associated in achieving the above scenario. One major problem is that programs are written by different people, in different languages and on different platforms. As a result, they provide different interfaces which lead to heterogeneity. As per [79], software is very div ...
... However, there are problems associated in achieving the above scenario. One major problem is that programs are written by different people, in different languages and on different platforms. As a result, they provide different interfaces which lead to heterogeneity. As per [79], software is very div ...
Strategies and Design for Interleaving Reasoning and Selection of Axioms
... subsumption-based classification in Description Logics. This is important among the other problems because classification is essential to Semantic Web applications, which require reasoning over large or complex ontologies. In this document, we will present an algorithm for classification with anytim ...
... subsumption-based classification in Description Logics. This is important among the other problems because classification is essential to Semantic Web applications, which require reasoning over large or complex ontologies. In this document, we will present an algorithm for classification with anytim ...
Eliciting Single-Peaked Preferences Using Comparison Queries
... median of the agents’ most preferred alternatives, so that it suffices to find each agent’s most preferred alternative (see the note at the end of Section 5). For most of the paper, we assume that preferences are always single-peaked (the exception is Section 6 in which we discuss the case where pre ...
... median of the agents’ most preferred alternatives, so that it suffices to find each agent’s most preferred alternative (see the note at the end of Section 5). For most of the paper, we assume that preferences are always single-peaked (the exception is Section 6 in which we discuss the case where pre ...
pre-print - School of Computer Science, University of Birmingham.
... real people speak and seem to think about minds. My approach can be seen as an attempt to “psychologize” the study of propositional attitudes (cf. Goldman, 1991; Goldman, “Interpretation Psychologized,” this volume). I should emphasize here that my main interest is with how AI systems (and, by presu ...
... real people speak and seem to think about minds. My approach can be seen as an attempt to “psychologize” the study of propositional attitudes (cf. Goldman, 1991; Goldman, “Interpretation Psychologized,” this volume). I should emphasize here that my main interest is with how AI systems (and, by presu ...
Flexible Attention-based Cognitive Architecture for
... engineering. Minsky has argued in his Society of Mind that intelligent behaviours can emerge from the interaction of many simple processes, even though each process may lack ‘intelligence’ in isolation. In addition, Anderson argued that an emergent system produces more complex behaviours and propert ...
... engineering. Minsky has argued in his Society of Mind that intelligent behaviours can emerge from the interaction of many simple processes, even though each process may lack ‘intelligence’ in isolation. In addition, Anderson argued that an emergent system produces more complex behaviours and propert ...
Intelligent Distributed Agent Based Architecture
... architecture that facilitates coordination and a novel social networks based approach to coordination. The field of multi-agent system research is undergoing tremendous expansion and it would be impossible to address all the issues related to the field. Instead, this thesis focuses on the coordinati ...
... architecture that facilitates coordination and a novel social networks based approach to coordination. The field of multi-agent system research is undergoing tremendous expansion and it would be impossible to address all the issues related to the field. Instead, this thesis focuses on the coordinati ...
Pickman`s Machine: A Reasoning Architecture Baki Cakici
... knowledge to purpose, help us control inference, are easy to acquire and can contextualize knowledge. The mental critics of EM-ONE are arranged into three layers and are guided by separate meta-critics. As an implementation example, Singh provides a scenario in which two actors using the EM-ONE arc ...
... knowledge to purpose, help us control inference, are easy to acquire and can contextualize knowledge. The mental critics of EM-ONE are arranged into three layers and are guided by separate meta-critics. As an implementation example, Singh provides a scenario in which two actors using the EM-ONE arc ...
teză de doctorat - AI-MAS
... influences an agent architecture. The system also takes into account the effects that emotions have on human perception and cognitive processes. As an application domain, we chose virtual characters in computer role playing games (CRPGs) as they are a type of game meant to simulate all manner of hum ...
... influences an agent architecture. The system also takes into account the effects that emotions have on human perception and cognitive processes. As an application domain, we chose virtual characters in computer role playing games (CRPGs) as they are a type of game meant to simulate all manner of hum ...
CS 561a: Introduction to Artificial Intelligence
... • Automated reasoning: to use the stored information to answer questions and to draw new conclusions. • Machine learning: to adapt to new circumstances and to detect and extrapolate patterns. ...
... • Automated reasoning: to use the stored information to answer questions and to draw new conclusions. • Machine learning: to adapt to new circumstances and to detect and extrapolate patterns. ...
Intelligence by Design: Principles of Modularity and Coordination for
... This dissertation describes an approach, Behavior-Oriented Design (BOD) for engineering complex agents. A complex agent is one that must arbitrate between potentially conflicting goals or behaviors. Behavior-oriented design builds on work in behavior-based and hybrid architectures for agents, and th ...
... This dissertation describes an approach, Behavior-Oriented Design (BOD) for engineering complex agents. A complex agent is one that must arbitrate between potentially conflicting goals or behaviors. Behavior-oriented design builds on work in behavior-based and hybrid architectures for agents, and th ...
pdf
... side. As a result, the plane, carrying a military brass band in the cargo room and a crew of four people, crashed on the runway and caught fire. The Air Traffic Controller (ATC) immediately hit the alarm button, also having knowledge that a military brass band is on the plane. Afterwards, he claimed ...
... side. As a result, the plane, carrying a military brass band in the cargo room and a crew of four people, crashed on the runway and caught fire. The Air Traffic Controller (ATC) immediately hit the alarm button, also having knowledge that a military brass band is on the plane. Afterwards, he claimed ...
Pdf - Text of NPTEL IIT Video Lectures
... The performance measure could be the amount of how rich the agent will become if the agent behaves in a particular way or how quickly the problem can be solved or how precise or how good the solution is, what is the quality of the solution that the agent has been able to achieve, the amount of power ...
... The performance measure could be the amount of how rich the agent will become if the agent behaves in a particular way or how quickly the problem can be solved or how precise or how good the solution is, what is the quality of the solution that the agent has been able to achieve, the amount of power ...
Intelligence by Design - Department of Computer Science
... This dissertation describes an approach, Behavior-Oriented Design (BOD) for engineering complex agents. A complex agent is one that must arbitrate between potentially conflicting goals or behaviors. Behavior-oriented design builds on work in behavior-based and hybrid architectures for agents, and th ...
... This dissertation describes an approach, Behavior-Oriented Design (BOD) for engineering complex agents. A complex agent is one that must arbitrate between potentially conflicting goals or behaviors. Behavior-oriented design builds on work in behavior-based and hybrid architectures for agents, and th ...
Methods for task allocation via agent coalition formation6
... independent, then the algorithms that we suggest can be used recursively to allocate subgroups of agents to the subtasks. In cases where there are interdependencies (which are not precedence dependencies) among tasks, we suggest to combine dependent tasks into unified tasks. The recognition of such ...
... independent, then the algorithms that we suggest can be used recursively to allocate subgroups of agents to the subtasks. In cases where there are interdependencies (which are not precedence dependencies) among tasks, we suggest to combine dependent tasks into unified tasks. The recognition of such ...
Forward and Backward Chaining
... be matched against which consequence relations from the knowledge base backward chaining systems are goal-driven ...
... be matched against which consequence relations from the knowledge base backward chaining systems are goal-driven ...
PDF
... that possible worlds are clustered into equivalence classes, each class consisting of worlds that are incomparable to one another, with these classes being totally ordered. Thus, rational structures form a “well-behaved” subset of preferential structures. Unfortunately, Lehmann and Magidor showed th ...
... that possible worlds are clustered into equivalence classes, each class consisting of worlds that are incomparable to one another, with these classes being totally ordered. Thus, rational structures form a “well-behaved” subset of preferential structures. Unfortunately, Lehmann and Magidor showed th ...
Multiagent Systems: A Survey from a Machine Learning Perspective
... Another example of a domain that requires MAS is hospital scheduling as presented in [Decker, 1996c]. This domain from an actual case study requires different agents to represent the interests of different people within the hospital. Hospital employees have different interests, from nurses who may ...
... Another example of a domain that requires MAS is hospital scheduling as presented in [Decker, 1996c]. This domain from an actual case study requires different agents to represent the interests of different people within the hospital. Hospital employees have different interests, from nurses who may ...
Comparative Table of Cognitive Architectures (started
... hippocampus and associated medial-temporal areas, and the rest of cortex -"posterior" areas. Prefrontal cortex provides mechanisms for the flexible retention and manipulation of activation-based representations, playing an important role in working memory and cognitive control. The hippocampus suppo ...
... hippocampus and associated medial-temporal areas, and the rest of cortex -"posterior" areas. Prefrontal cortex provides mechanisms for the flexible retention and manipulation of activation-based representations, playing an important role in working memory and cognitive control. The hippocampus suppo ...
Logics for Intelligent Agents and Multi
... very difference in ontologies of time employed: Cohen & Levesque’s notion of time could be called ‘epistemically nondeterministic’ or ‘epistemically branching’, while ‘real’ time is linear: the agents envisage several future courses of time, each of them being a linear history, while in Rao & George ...
... very difference in ontologies of time employed: Cohen & Levesque’s notion of time could be called ‘epistemically nondeterministic’ or ‘epistemically branching’, while ‘real’ time is linear: the agents envisage several future courses of time, each of them being a linear history, while in Rao & George ...
Intelligent Agent
... interesting items to its customers. To do well, it will need some natural language processing abilities, it will need to learn what each customer is interested in, and it will need to dynamically change its plans when, for example, the connection for one news source crashes or a new one comes online ...
... interesting items to its customers. To do well, it will need some natural language processing abilities, it will need to learn what each customer is interested in, and it will need to dynamically change its plans when, for example, the connection for one news source crashes or a new one comes online ...
A philosophical basis for knowledge acquisition
... and we can build expert systems, then the philosophy must be correct. Our aim here is to avoid this polarisation by focussing on a replacement or modification rather than a rejection of what we perceive as the current AI philosophy of knowledge. The prevailing epistemology is the physical symbol hyp ...
... and we can build expert systems, then the philosophy must be correct. Our aim here is to avoid this polarisation by focussing on a replacement or modification rather than a rejection of what we perceive as the current AI philosophy of knowledge. The prevailing epistemology is the physical symbol hyp ...
6 Learning in Multiagent Systems
... that a system capable of learning deserves to be called intelligent; and conversely, a system being considered as intelligent is, among other things, usually expected to be able to learn. Learning always has to do with the self-improvement of future behavior based on past experience. More precisely, ...
... that a system capable of learning deserves to be called intelligent; and conversely, a system being considered as intelligent is, among other things, usually expected to be able to learn. Learning always has to do with the self-improvement of future behavior based on past experience. More precisely, ...
6 Learning in Multiagent Systems
... that a system capable of learning deserves to be called intelligent; and conversely, a system being considered as intelligent is, among other things, usually expected to be able to learn. Learning always has to do with the self-improvement of future behavior based on past experience. More precisely, ...
... that a system capable of learning deserves to be called intelligent; and conversely, a system being considered as intelligent is, among other things, usually expected to be able to learn. Learning always has to do with the self-improvement of future behavior based on past experience. More precisely, ...
Cognitive Science: An Introduction to the Study of Mind
... define it as a unique, organized set of ideas that teaches us how to think about the mind. We also describe models of mind. Whereas a theory is general and may not be tied to a particular process, a model is specific and details how information is represented and computed by a particular process. Th ...
... define it as a unique, organized set of ideas that teaches us how to think about the mind. We also describe models of mind. Whereas a theory is general and may not be tied to a particular process, a model is specific and details how information is represented and computed by a particular process. Th ...
Intelligent Agents - Department of Computer Science, Oxford
... process can be affected by a number of different environmental properties. Russell and Norvig suggest the following classification of environment properties [59, p46]: Accessible vs inaccessible. An accessible environment is one in which the agent can obtain complete, accurate, up-to-date informatio ...
... process can be affected by a number of different environmental properties. Russell and Norvig suggest the following classification of environment properties [59, p46]: Accessible vs inaccessible. An accessible environment is one in which the agent can obtain complete, accurate, up-to-date informatio ...
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.