Proceedings of the ... Annual National Conference on Artificial Intelligence, Volume 14AAAI, 1997 - Artificial intelligence |
From inside the book
Results 1-3 of 61
Page 18
goals of a goal ) , the constraints that can be meaning- fully applied to a goal , the optimizations that can be meaningfully requested and , finally , the theories that can be applied to reason about the constraints . For example ...
goals of a goal ) , the constraints that can be meaning- fully applied to a goal , the optimizations that can be meaningfully requested and , finally , the theories that can be applied to reason about the constraints . For example ...
Page 784
... goal in the series , it would cover all the space in the room ( see Figure 1 , note that the goals are de- picted as ... goal and its next goal , Seek turns the robot toward its current goal and replaces the current goal with the next ...
... goal in the series , it would cover all the space in the room ( see Figure 1 , note that the goals are de- picted as ... goal and its next goal , Seek turns the robot toward its current goal and replaces the current goal with the next ...
Page 831
... goal as quickly and safely as possible . We consider three objectives for the agent . The first is to maximize its probability of reaching the goal without crashing ( maximize safety ) , the second is to minimize the expected number of ...
... goal as quickly and safely as possible . We consider three objectives for the agent . The first is to maximize its probability of reaching the goal without crashing ( maximize safety ) , the second is to minimize the expected number of ...
Contents
Agent Architecture | 3 |
Language and Learning | 10 |
Agent Coordination | 16 |
Copyright | |
53 other sections not shown
Other editions - View all
Common terms and phrases
3SAT Abstract action agents algorithm allocation applied approach arc-consistency Artificial Intelligence assignment axioms backtracking Bayesian network behavior Carnegie Mellon University causal CBASlack chatter clauses complexity component Computer constraint satisfaction constraint satisfaction problems context dataset decision defined denoted described description logic distribution document domain dynamic emotion evaluation example expected value Figure formula function goal graph graph coloring GSAT heuristic commitments inference input literals local search logic Logic Programming method minimal node optimal paper parameters performance phase transition planning possible post-failure prob problem instances Proc procedure propagation propositional qualitative quasigroup random reasoning representation Research resource retrievable query robot robustness rule rule-base satisfied scheduling Selman semantics sequence servers simulation solution solve spatial specific strategy structure subgraph suffix tree SumHeight techniques temporal Theorem theory tion tree University unsatisfiable variables WSAT www.aaai.org