Intelligent Agents
... can communicate by message passing. Despite these similarities, there are significant differences between agents and objects. An object may be said to exhibit autonomy over its state (by defining its instance variables as private) but it does not exhibit control over its behavior. The designers of a ...
... can communicate by message passing. Despite these similarities, there are significant differences between agents and objects. An object may be said to exhibit autonomy over its state (by defining its instance variables as private) but it does not exhibit control over its behavior. The designers of a ...
Verifying time, memory and communication bounds in systems of
... communication in systems of distributed reasoning agents. We assume that the agents reason using resolution. However this is not essential for the results in the paper, and we briefly sketch how reasoners using other inference methods can be formalised. We introduce a novel epistemic logic, BMCL-CTL ...
... communication in systems of distributed reasoning agents. We assume that the agents reason using resolution. However this is not essential for the results in the paper, and we briefly sketch how reasoners using other inference methods can be formalised. We introduce a novel epistemic logic, BMCL-CTL ...
Chunking of Action Sequences in the Cortex
... The general theme for models of the critic is the dopaminergic neurons activity that bears a close resemblance to temporal difference learning. There are however still questions regarding how to reproduce the dynamics of firing to rewards, reward predicting stimuli and novelty. Joel et al. (2002) prop ...
... The general theme for models of the critic is the dopaminergic neurons activity that bears a close resemblance to temporal difference learning. There are however still questions regarding how to reproduce the dynamics of firing to rewards, reward predicting stimuli and novelty. Joel et al. (2002) prop ...
Text Patterns and Compression Models for Semantic Class Learning
... conditioned on the preceding context, is maintained and updated as each token of input is processed. This distribution, along with the the preceding few input tokens, is used to predict each upcoming token. Exactly the same distributions are maintained by the decoder, which updates the appropriate d ...
... conditioned on the preceding context, is maintained and updated as each token of input is processed. This distribution, along with the the preceding few input tokens, is used to predict each upcoming token. Exactly the same distributions are maintained by the decoder, which updates the appropriate d ...
MCS 8100/CSC 2114 : Artificial Intelligence
... - Monitor trades, detect fraud, schedule shuttle loading, etc. ...
... - Monitor trades, detect fraud, schedule shuttle loading, etc. ...
Chapter 06 Abstract Neuron Models
... behaviors of networks. At the level of neuron modeling, what is immediately of concern to us is Grossberg's comment, "Two seemingly different models can be equivalent from a functional viewpoint if they both generate similar sets of emergent behaviors." In every abstract neuron model some or even al ...
... behaviors of networks. At the level of neuron modeling, what is immediately of concern to us is Grossberg's comment, "Two seemingly different models can be equivalent from a functional viewpoint if they both generate similar sets of emergent behaviors." In every abstract neuron model some or even al ...
Knowledge-based agents
... makes him selecting similar choices to reinforce his happiness. E.g. anger or distress may guide an agent into selecting choices he would otherwise not consider. Those choices maybe the solution to his problem. A thought: A* is an optimistic algorithm. Because of that it is complete (always finds a ...
... makes him selecting similar choices to reinforce his happiness. E.g. anger or distress may guide an agent into selecting choices he would otherwise not consider. Those choices maybe the solution to his problem. A thought: A* is an optimistic algorithm. Because of that it is complete (always finds a ...
Towards a Methodology for Agent-based Social Simulation
... Goldspink (2002). For a detailed description of what each of these steps entails, including the caveats of dealing with simulation data, the reader is referred to those authors. Once a ‘puzzle’ (a question or problem whose answer is not known, and which it will be the aim of the research to resolve) ...
... Goldspink (2002). For a detailed description of what each of these steps entails, including the caveats of dealing with simulation data, the reader is referred to those authors. Once a ‘puzzle’ (a question or problem whose answer is not known, and which it will be the aim of the research to resolve) ...
Proceedings of the Workshop “Formalizing Mechanisms for Artificial
... added to the buffer as a result of primitive acts that are performed at the PMLa, and are removed and processed at the PMLc, where they are further decomposed into low-level commands suitable for use by the SAL. For instance, a primitive action for a grasping effector might be to move the effector some ...
... added to the buffer as a result of primitive acts that are performed at the PMLa, and are removed and processed at the PMLc, where they are further decomposed into low-level commands suitable for use by the SAL. For instance, a primitive action for a grasping effector might be to move the effector some ...
CS 430 Lecture 4
... Goals are not enough to produce high-quality behavior. Often many action sequences will result in achieving a goal, but some are better than others. Goals distinguish between "happy" and "unhappy" states. Want to know exactly how "happy" in making decisions. Use the term utility to sound more scient ...
... Goals are not enough to produce high-quality behavior. Often many action sequences will result in achieving a goal, but some are better than others. Goals distinguish between "happy" and "unhappy" states. Want to know exactly how "happy" in making decisions. Use the term utility to sound more scient ...
this PDF file
... Fig. 1: The Create Game Window default parameters and places them into the game world. The placement is selected by the user to either be random or around a specified squad base location. A check is performed to ensure an agent is not placed inside a wall or other obstacle. Adding a single agent is ...
... Fig. 1: The Create Game Window default parameters and places them into the game world. The placement is selected by the user to either be random or around a specified squad base location. A check is performed to ensure an agent is not placed inside a wall or other obstacle. Adding a single agent is ...
From Agent Theory to Agent Construction: A Case Study
... In short, we propose a four-tiered hierarchy of entities comprising entities, objects, agents and autonomous agents. The basic idea underlying this hierarchy is that all components of the world are entities. Of these entities, some are objects, of which some, in turn, are agents and of these, some a ...
... In short, we propose a four-tiered hierarchy of entities comprising entities, objects, agents and autonomous agents. The basic idea underlying this hierarchy is that all components of the world are entities. Of these entities, some are objects, of which some, in turn, are agents and of these, some a ...
From Agent Theory to Agent Construction: A Case Study
... In short, we propose a four-tiered hierarchy of entities comprising entities, objects, agents and autonomous agents. The basic idea underlying this hierarchy is that all components of the world are entities. Of these entities, some are objects, of which some, in turn, are agents and of these, some a ...
... In short, we propose a four-tiered hierarchy of entities comprising entities, objects, agents and autonomous agents. The basic idea underlying this hierarchy is that all components of the world are entities. Of these entities, some are objects, of which some, in turn, are agents and of these, some a ...
Chapter 1 - WordPress.com
... Data Mining has emerged as one of the most exciting and dynamic fields in computing science. The driving force for data mining is the presence of petabyte-scale online archives that potentially contain valuable bits of information hidden in them. Commercial enterprises have been quick to recognize t ...
... Data Mining has emerged as one of the most exciting and dynamic fields in computing science. The driving force for data mining is the presence of petabyte-scale online archives that potentially contain valuable bits of information hidden in them. Commercial enterprises have been quick to recognize t ...
Intelligent Agents
... Utility-based Agents (2) • Add utility evaluation: not only how close does the action take me to the goal, but also how useful it is for the agent • Note: both goal and utility-based agents can plan with constructs other than rules • Other aspects to be considered: – uncertainty in perceptions and ...
... Utility-based Agents (2) • Add utility evaluation: not only how close does the action take me to the goal, but also how useful it is for the agent • Note: both goal and utility-based agents can plan with constructs other than rules • Other aspects to be considered: – uncertainty in perceptions and ...
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 ...
3 Experiments
... When agents are unleashed, each agent adopts a role depending on its capability level. Each agent is generally inclined to move to occupy a role that is higher than its current role. It will improve its capabilities to qualify for the next higher role. Naturally, at some point in time all agents wil ...
... When agents are unleashed, each agent adopts a role depending on its capability level. Each agent is generally inclined to move to occupy a role that is higher than its current role. It will improve its capabilities to qualify for the next higher role. Naturally, at some point in time all agents wil ...
Introduction - Tamara L Berg
... • We will consider the problem of designing goal-based agents in fully observable, deterministic, discrete, known environments – The agent must find a sequence of actions that reaches the goal – The performance measure is defined by (a) reaching the goal and (b) how “expensive” the path to the goal ...
... • We will consider the problem of designing goal-based agents in fully observable, deterministic, discrete, known environments – The agent must find a sequence of actions that reaches the goal – The performance measure is defined by (a) reaching the goal and (b) how “expensive” the path to the goal ...
From Turner`s Logic of Universal Causation to the Logic of GK
... 3] to logic of GK [5]. Among others, these embeddings shed new lights on nonmonotonic reasoning, and have led to an interesting characterization of strong equivalence in logic programming [7, 5], and helped relate logic programming to circumscription [4] as the semantics of GK is just a minimization ...
... 3] to logic of GK [5]. Among others, these embeddings shed new lights on nonmonotonic reasoning, and have led to an interesting characterization of strong equivalence in logic programming [7, 5], and helped relate logic programming to circumscription [4] as the semantics of GK is just a minimization ...
CS 561: Artificial Intelligence
... remain to be solved? Different types of robots. Tasks that robots are for. Parts of robots. Architectures. Configuration spaces. Navigation and motion planning. Towards highly-capable robots. What have we learned. Where do we go from here? ...
... remain to be solved? Different types of robots. Tasks that robots are for. Parts of robots. Architectures. Configuration spaces. Navigation and motion planning. Towards highly-capable robots. What have we learned. Where do we go from here? ...
Applying Complex Adaptive Systems to Actuarial Problems
... Another typical example is ants. Ants, termites, and bees all have astonishing properties when you look at them as a colony and as a whole, but the individual ant is really rather stupid. It has very simple behaviors, and it’s astonishing that it’s able to construct anything at all, yet termites are ...
... Another typical example is ants. Ants, termites, and bees all have astonishing properties when you look at them as a colony and as a whole, but the individual ant is really rather stupid. It has very simple behaviors, and it’s astonishing that it’s able to construct anything at all, yet termites are ...
Using Evidence-Centered Design for Developing Valid
... shrinking and the technological revolution has created a boundless space of interconnected information st ...
... shrinking and the technological revolution has created a boundless space of interconnected information st ...
Artificial Intelligence Techniques in
... situation. As it is clearly infeasible to implement a sufficiently large number of different control strategies within a single system, the decentralized agent approach offers a natural method of having a large variety of possible strategies available, each of which is known to one or more agents. T ...
... situation. As it is clearly infeasible to implement a sufficiently large number of different control strategies within a single system, the decentralized agent approach offers a natural method of having a large variety of possible strategies available, each of which is known to one or more agents. T ...
Connecting First-Order ASP and the Logic FO(ID) Through Reducts
... While papers on ASP often bring up the default negation operator in logic programming as the key element to its success as a modeling language, the fact is that in most applications the default negation not is used as if it were a classical one. Arguably, the main appeal of logic programming with th ...
... While papers on ASP often bring up the default negation operator in logic programming as the key element to its success as a modeling language, the fact is that in most applications the default negation not is used as if it were a classical one. Arguably, the main appeal of logic programming with th ...
Multi-agent Planning via Mutually Constraining
... be jointly and explicitly discussed between and manipulated by the user or system in a cooperative fashion. The model of Mixed Initiative Planning that can be supported by the approach is the mutual constraining of 5ehaviour by refining a set of alternative partial plans. Users and systems can work ...
... be jointly and explicitly discussed between and manipulated by the user or system in a cooperative fashion. The model of Mixed Initiative Planning that can be supported by the approach is the mutual constraining of 5ehaviour by refining a set of alternative partial plans. Users and systems can work ...