Reflection in Action: Meta-Reasoning for Goal
... agent’s design (i.e., a model that describes how the agent’s methods use knowledge to accomplish its tasks) affords localization of the modifications needed for goal-directed as well as failure-driven. We have developed an agent description language called TMKL (Murdock & Goel 2008) for specifying t ...
... agent’s design (i.e., a model that describes how the agent’s methods use knowledge to accomplish its tasks) affords localization of the modifications needed for goal-directed as well as failure-driven. We have developed an agent description language called TMKL (Murdock & Goel 2008) for specifying t ...
intelligent agent
... – Autonomous, in the sense that it can act without direct intervention from humans or other software processes, and controls over its own actions and internal state. – Flexible which means: • Responsive (reactive): agents should perceive their environment and respond to changes that occur in it; • P ...
... – Autonomous, in the sense that it can act without direct intervention from humans or other software processes, and controls over its own actions and internal state. – Flexible which means: • Responsive (reactive): agents should perceive their environment and respond to changes that occur in it; • P ...
Artificial Intelligence
... is captured by the dictum “Everything should be made as simple as possible, but not simpler.” We must build the science on solid foundations; we present the foundations, but only sketch, and give some examples of, the complexity required to build useful intelligent systems. Although the resulting sy ...
... is captured by the dictum “Everything should be made as simple as possible, but not simpler.” We must build the science on solid foundations; we present the foundations, but only sketch, and give some examples of, the complexity required to build useful intelligent systems. Although the resulting sy ...
Research Priorities for Robust and Beneficial Artificial Intelligence
... the problems surrounding the construction of intelligent agents – systems that perceive and act in some environment. In this context, the criterion for intelligence is related to statistical and economic notions of rationality – colloquially, the ability to make good decisions, plans, or inferences. ...
... the problems surrounding the construction of intelligent agents – systems that perceive and act in some environment. In this context, the criterion for intelligence is related to statistical and economic notions of rationality – colloquially, the ability to make good decisions, plans, or inferences. ...
Extending Universal Intelligence Models with Formal Notion of
... However, the corresponding detailed models were published only relatively recently (e.g. [2]). Moreover, the theory of universal induction was not popular even in machine learning. The reason is quite obvious – it offers incomputable methods, which additionally require training sets of large sizes i ...
... However, the corresponding detailed models were published only relatively recently (e.g. [2]). Moreover, the theory of universal induction was not popular even in machine learning. The reason is quite obvious – it offers incomputable methods, which additionally require training sets of large sizes i ...
On the Structural Robustness of Evolutionary Models of Cooperation
... may cooperate. These units might be able to adapt their individual behavior (i.e. learn), or the population of units as a whole may adapt through an evolutionary process (or both). While formalizing the problem of cooperation in this way significantly decreases its complexity (and generality), the q ...
... may cooperate. These units might be able to adapt their individual behavior (i.e. learn), or the population of units as a whole may adapt through an evolutionary process (or both). While formalizing the problem of cooperation in this way significantly decreases its complexity (and generality), the q ...
... becoming a very important in multiagent systems (MAS) research. The notion is based on the fact that many multiagent systems are open (agents can enter and leave) and contain many heterogeneous agents that must coordinate their efforts. The notion of “agent organizations” means that the organization ...
A Belief-Desire-Intention Model for Narrative Generation
... 1994; McCoy, Mateas, and Wardrip-Fruin 2009) are inevitably dependent on emergent plot. This presupposes that the character model is sufficient to produce engaging narrative. Combining reactive scenes into an overall plan (Weyhrauch 1997; Theune et al. 2004) only partially mitigates this problem. Co ...
... 1994; McCoy, Mateas, and Wardrip-Fruin 2009) are inevitably dependent on emergent plot. This presupposes that the character model is sufficient to produce engaging narrative. Combining reactive scenes into an overall plan (Weyhrauch 1997; Theune et al. 2004) only partially mitigates this problem. Co ...
sv-lncs - Artificial Intelligence Applications Institute
... the CoAX demonstrations. The KAoS agent domain management framework ...
... the CoAX demonstrations. The KAoS agent domain management framework ...
Co-ordination in software agent systems
... when a master/slave co-ordination technique is used, the designer should ensure that the slaves are of sufficient granularity to compensate for the overheads which result from goal distribution. Distributing trivial or small tasks can be more expensive than performing them in one location ...
... when a master/slave co-ordination technique is used, the designer should ensure that the slaves are of sufficient granularity to compensate for the overheads which result from goal distribution. Distributing trivial or small tasks can be more expensive than performing them in one location ...
Verification, Validation and Evaluation of Expert Systems in Order to
... competent specialists that may be able to achieve the same thinking and intuition performances as human experts. The main factor of intelligent processing consists in artificial judgment able to imitate human judgment. Expert systems are being used to replace human experts in order to support the pr ...
... competent specialists that may be able to achieve the same thinking and intuition performances as human experts. The main factor of intelligent processing consists in artificial judgment able to imitate human judgment. Expert systems are being used to replace human experts in order to support the pr ...
Should I trust my teammates? An experiment in Heuristic
... Since the RL algorithm operation is not modified (i.e., updates of the function Q are the same as in Minimax-Q), our proposal allows that many of the theoretical conclusions obtained for Minimax-Q remain valid for HAMMQ. Convergence of this algorithm is presented by Bianchi et al. [2007], together w ...
... Since the RL algorithm operation is not modified (i.e., updates of the function Q are the same as in Minimax-Q), our proposal allows that many of the theoretical conclusions obtained for Minimax-Q remain valid for HAMMQ. Convergence of this algorithm is presented by Bianchi et al. [2007], together w ...
What kind of cognitive process is argumentation?
... Attempt at specification of functional modules – Knowledge acquisition system (not necessarily perceptual, but necessarily verbal) • Language of argumentation can be simplified or purely formal in minimal agents but shouldn't be too simple – Knowledge representation system – Argumentation module, im ...
... Attempt at specification of functional modules – Knowledge acquisition system (not necessarily perceptual, but necessarily verbal) • Language of argumentation can be simplified or purely formal in minimal agents but shouldn't be too simple – Knowledge representation system – Argumentation module, im ...
Agent oriented programming: An overview of the framework and
... I will use the term '(artificial) agents' to denote entities possessing formal versions of mental state, and in particular formal versions of beliefs, capabilities, choices, commitments, and possibly a few other mentalistic-sounding qualities. What will make any hardware or software component an age ...
... I will use the term '(artificial) agents' to denote entities possessing formal versions of mental state, and in particular formal versions of beliefs, capabilities, choices, commitments, and possibly a few other mentalistic-sounding qualities. What will make any hardware or software component an age ...
Intelligent Agents
... as by the properties of the object under consideration. If we are able to explain and predict its behavior we have little temptation to imagine intelligence. With the same object, therefore, it is possible that one man would consider it as intelligent and another would not; the second man would have ...
... as by the properties of the object under consideration. If we are able to explain and predict its behavior we have little temptation to imagine intelligence. With the same object, therefore, it is possible that one man would consider it as intelligent and another would not; the second man would have ...
CS 561a: Introduction to Artificial Intelligence
... • Agents are autonomous, that is they act on behalf of the user • Agents contain some level of intelligence, from fixed rules to learning engines that allow them to adapt to changes in the environment • Agents don't only act reactively, but sometimes also proactively • Agents have social ability, th ...
... • Agents are autonomous, that is they act on behalf of the user • Agents contain some level of intelligence, from fixed rules to learning engines that allow them to adapt to changes in the environment • Agents don't only act reactively, but sometimes also proactively • Agents have social ability, th ...
Extending Universal Intelligence Models with Formal Notion
... However, the corresponding detailed models were published only relatively recently (e.g. [2]). Moreover, the theory of universal induction was not popular even in machine learning. The reason is quite obvious – it offers incomputable methods, which additionally require training sets of large sizes i ...
... However, the corresponding detailed models were published only relatively recently (e.g. [2]). Moreover, the theory of universal induction was not popular even in machine learning. The reason is quite obvious – it offers incomputable methods, which additionally require training sets of large sizes i ...
Multi-Agent System
... Temporal Agents - A temporal agent may use time based stored information to offer instructions or data acts to a computer program or human being and takes program inputs percepts to adjust its next behaviors. ...
... Temporal Agents - A temporal agent may use time based stored information to offer instructions or data acts to a computer program or human being and takes program inputs percepts to adjust its next behaviors. ...
John McCarthy defines artificial intelligence as
... Warren McCulloch and Walter Pitts were two people who designed the first mathematical models of neural networks. This is interesting from an AI perspective because neural networks model biological neural networks that process information that can lead to computation of some sort. 8. On top of page 9 ...
... Warren McCulloch and Walter Pitts were two people who designed the first mathematical models of neural networks. This is interesting from an AI perspective because neural networks model biological neural networks that process information that can lead to computation of some sort. 8. On top of page 9 ...
PPT
... • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experience (with ability to learn and adapt) without depending solely on build-in knowl ...
... • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experience (with ability to learn and adapt) without depending solely on build-in knowl ...
PPT
... • Rationality is distinct from omniscience (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experi ...
... • Rationality is distinct from omniscience (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experi ...
The Liability Problem for Autonomous Artificial Agents
... that the technology cannot go too far out of control before it is reigned in by human agency or regulatory policy. Thus, human control presents itself as a “kill switch” to technology going completely out of control, while human responsibility further acts as “policy lever” for policy to enact regul ...
... that the technology cannot go too far out of control before it is reigned in by human agency or regulatory policy. Thus, human control presents itself as a “kill switch” to technology going completely out of control, while human responsibility further acts as “policy lever” for policy to enact regul ...