A Unified Cognitive Architecture for Physical Agents
... systems but can be durative in nature. In contrast, nonprimitive clauses refer to subgoals, cast as conceptual literals, that the agent should achieve in order. One of I CARUS’ important theoretical commitments is that the head of each skill clause denotes a concept the clause will achieve if execut ...
... systems but can be durative in nature. In contrast, nonprimitive clauses refer to subgoals, cast as conceptual literals, that the agent should achieve in order. One of I CARUS’ important theoretical commitments is that the head of each skill clause denotes a concept the clause will achieve if execut ...
An Agent Model for Future Autonomic Communications
... one could think at elaborated services to alleviate roads congestion problems. This would imply devices in cars (for computing, sensing and visualization) to interact with devices in streets and crossings (for sensing the current traffic situation and communicate it to cars). Cars could also interac ...
... one could think at elaborated services to alleviate roads congestion problems. This would imply devices in cars (for computing, sensing and visualization) to interact with devices in streets and crossings (for sensing the current traffic situation and communicate it to cars). Cars could also interac ...
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation Joel Lehman
... information processing in neural networks or natural evolution. The idea is that such biologically-inspired algorithms may help isolate the key elements of biological intelligence and its origins. That is, through simulations with varied features, it may be possible to separate the essential feature ...
... information processing in neural networks or natural evolution. The idea is that such biologically-inspired algorithms may help isolate the key elements of biological intelligence and its origins. That is, through simulations with varied features, it may be possible to separate the essential feature ...
Contemporary Cybernetics and Its Facets of Cognitive Informatics
... force that transforms cognitive information in the forms of data, knowledge, skill, and behavior. A Layered Reference Model of the Brain (LRMB) has been developed [52], which encompasses 43 cognitive processes at seven layers known as the sensation, memory, perception, action, metacognitive, metainf ...
... force that transforms cognitive information in the forms of data, knowledge, skill, and behavior. A Layered Reference Model of the Brain (LRMB) has been developed [52], which encompasses 43 cognitive processes at seven layers known as the sensation, memory, perception, action, metacognitive, metainf ...
Knowledge Processing for Cognitive Robots
... This changes dramatically when the robot comes to a real environment and is to perform several complex tasks, acquire new tasks or new variants of known ones, manipulate new objects, and understand human commands in colloquial language. For being accepted by humans as useful household companions, ro ...
... This changes dramatically when the robot comes to a real environment and is to perform several complex tasks, acquire new tasks or new variants of known ones, manipulate new objects, and understand human commands in colloquial language. For being accepted by humans as useful household companions, ro ...
Syllabus for M Sc - Rajshahi University Alumni Association
... Overview of networking: Network architecture, planning and designing networks, Protocols, TCP/IP, IPv6, Agent. Ad hoc network architecture and protocols: Blue Tooth, IEEE802.11; Voice-over-IP, Combination of IP and ATM Technologies: Classical IP-over-ATM, LAN emulation. Concepts and principles of cl ...
... Overview of networking: Network architecture, planning and designing networks, Protocols, TCP/IP, IPv6, Agent. Ad hoc network architecture and protocols: Blue Tooth, IEEE802.11; Voice-over-IP, Combination of IP and ATM Technologies: Classical IP-over-ATM, LAN emulation. Concepts and principles of cl ...
Chapter 11 - leons group of colleges
... • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial intelligence systems – List the characteristics of ...
... • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial intelligence systems – List the characteristics of ...
Embodied artificial intelligence
... spending valuable space on telling us a lot about what is probably already familiar (symbols, knowledge bases, the sense-model-plan-act cycle, modeling the world, contextfree representations, cognitivism, etc.), space which might have been better spent going into more detail on the novel concepts th ...
... spending valuable space on telling us a lot about what is probably already familiar (symbols, knowledge bases, the sense-model-plan-act cycle, modeling the world, contextfree representations, cognitivism, etc.), space which might have been better spent going into more detail on the novel concepts th ...
A Comparative Analysis of Story Representations for
... capabilities highlighted in this comparison. The design idea of using more than one specific construct (e.g., plots point vs. events or plan operators vs. beats) seems to be a promising one that uses different elements to suit different representational needs. This provides for a fluid interplay bet ...
... capabilities highlighted in this comparison. The design idea of using more than one specific construct (e.g., plots point vs. events or plan operators vs. beats) seems to be a promising one that uses different elements to suit different representational needs. This provides for a fluid interplay bet ...
Managing the Digital Firm - Department of Computer Engineering
... specific field in much the same way that a human expert would. The knowledge typically comes from a series of conversations between the developer of the expert system and one or more experts. The completed system applies the knowledge to problems specified by a user. ...
... specific field in much the same way that a human expert would. The knowledge typically comes from a series of conversations between the developer of the expert system and one or more experts. The completed system applies the knowledge to problems specified by a user. ...
Managing the Digital Firm
... specific field in much the same way that a human expert would. The knowledge typically comes from a series of conversations between the developer of the expert system and one or more experts. The completed system applies the knowledge to problems specified by a user. ...
... specific field in much the same way that a human expert would. The knowledge typically comes from a series of conversations between the developer of the expert system and one or more experts. The completed system applies the knowledge to problems specified by a user. ...
Getting More Out of the Exposed Structure in Constraint
... apply powerful algorithms and data structures specialized for that homogeneous form. Constraint Programming (CP) solvers followed a different route, having developed over the years a very rich and heterogeneous modelling language (Beldiceanu et al. 2007) with an extensive set of inference algorithms ...
... apply powerful algorithms and data structures specialized for that homogeneous form. Constraint Programming (CP) solvers followed a different route, having developed over the years a very rich and heterogeneous modelling language (Beldiceanu et al. 2007) with an extensive set of inference algorithms ...
Representing Synonymity in Causal Logic and in
... This question is closely related to current research on modular action description languages. In STRIPS (Fikes and Nilsson 1971) and similar formalisms, actions are described in terms of their effects and preconditions. As observed in (Erdoğan and Lifschitz 2006), informal descriptions of actions t ...
... This question is closely related to current research on modular action description languages. In STRIPS (Fikes and Nilsson 1971) and similar formalisms, actions are described in terms of their effects and preconditions. As observed in (Erdoğan and Lifschitz 2006), informal descriptions of actions t ...
A Multi-intelligent Agent System for Automatic Construction of Rule
... has expert knowledge and experience in a specific particular field. Typically, such a system includes knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular situation that is described to the program [4]. The other components of an expe ...
... has expert knowledge and experience in a specific particular field. Typically, such a system includes knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular situation that is described to the program [4]. The other components of an expe ...
A conversation with a 3D face - Dipartimento di Informatica
... In the architecture of our Agent, we make a main distinction between two components: the Agent’s Mind and its Body. This distinction is motivated by the opportunity to couple the Mind component to different Bodies (virtual humans, 3D faces, 2D characters, and so on), without constraining the symboli ...
... In the architecture of our Agent, we make a main distinction between two components: the Agent’s Mind and its Body. This distinction is motivated by the opportunity to couple the Mind component to different Bodies (virtual humans, 3D faces, 2D characters, and so on), without constraining the symboli ...
FraMoTEC: A Framework for Modular Task-Environment
... difficult to compare two different agents (or controllers) that partake in the their own domain-specific evaluations, which is what frequently happens when agents are tailored to pass specific evaluations. In essence, most of the evaluation methods currently at our disposal leave out important aspec ...
... difficult to compare two different agents (or controllers) that partake in the their own domain-specific evaluations, which is what frequently happens when agents are tailored to pass specific evaluations. In essence, most of the evaluation methods currently at our disposal leave out important aspec ...
Design Patterns and Cross-Domain Analogies in Biologically Inspired Sustainable Design
... Georgia Tech’s Center for Biologically Inspired Design (CBID) (http://www.cbid.gatech.edu/) provide many examples of biologically inspired sustainable design. Recently there have been several attempts at systemizing biologically inspired design as a general methodology for innovative design. Vincent ...
... Georgia Tech’s Center for Biologically Inspired Design (CBID) (http://www.cbid.gatech.edu/) provide many examples of biologically inspired sustainable design. Recently there have been several attempts at systemizing biologically inspired design as a general methodology for innovative design. Vincent ...
Knowledge-Based Systems
... User involvement Training Expertise from cooperative experts Qualitative, not quantitative, problem User-friendly interface Expert’s level of knowledge must be high ...
... User involvement Training Expertise from cooperative experts Qualitative, not quantitative, problem User-friendly interface Expert’s level of knowledge must be high ...
Chapter 10 Intelligent Decision Support Systems
... User involvement Training Expertise from cooperative experts Qualitative, not quantitative, problem User-friendly interface Expert’s level of knowledge must be high ...
... User involvement Training Expertise from cooperative experts Qualitative, not quantitative, problem User-friendly interface Expert’s level of knowledge must be high ...
Applications of Expert Systems
... User involvement Training Expertise from cooperative experts Qualitative, not quantitative, problem User-friendly interface Expert’s level of knowledge must be high ...
... User involvement Training Expertise from cooperative experts Qualitative, not quantitative, problem User-friendly interface Expert’s level of knowledge must be high ...
On-line Error Analysis Using AI techniques A first sight
... as mortgage tax advice, interpreting mass spectra, or planning computer systems. Expert systems, like human experts, are experts only in their field and as such are highly domain specific. In general, expert systems are not intended as cognitive models. It helps (in some cases), if a system reasons ...
... as mortgage tax advice, interpreting mass spectra, or planning computer systems. Expert systems, like human experts, are experts only in their field and as such are highly domain specific. In general, expert systems are not intended as cognitive models. It helps (in some cases), if a system reasons ...